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Paper Citation Record · LEDGER

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks

As of 23 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2501.10940.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.10940 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:54:13.088609Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

62 of 62 outbound references displayed

  • verified exact0
  • verified fuzzy58
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 08aa9c96-77ea-4a68-a018-7ddad24daffe · outbound

This paper cites Conceptual foundations of crowdsourcing: A review of is research,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Conceptual foundations of crowdsourcing: A review of is research,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:14.043070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.813342Z digest=sha256:2f2c38027f20d11e647e6dac59915a656fecada6ebf7843e0f54eadded62e057

Observation 0fb2db06-a9b2-4e7a-bea5-3aa4091b1a52 · outbound

This paper cites A misbehaving-proof game theoretical selection approach for mobile crowd sourcing,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks A misbehaving-proof game theoretical selection approach for mobile crowd sourcing,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:14.028240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.818393Z digest=sha256:aa1d7c768432f46551ee4b99fdb9334bc649828b85158cab2260340a294d0d89

Observation 1ef73cf3-74c3-4d67-82a3-3aaecb0e5193 · outbound

This paper cites an unresolved cited work.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:54:14.013053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.823105Z digest=sha256:11929d69c61254fc8a342f7cc5d1be884059380557b3a29257c54ffca6d4657f

Observation ee3862a9-aa3a-46f1-b257-f9140aa1e476 · outbound

This paper cites an unresolved cited work.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:54:13.997615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.827306Z digest=sha256:76a7fe957557f664ad4f9eaed8638be9ae312d8ecd62a2d4c0e595dce25143f9

Observation 92b89fdf-e25d-4bd8-adfe-1a18570f1330 · outbound

This paper cites an unresolved cited work.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:54:13.982616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.831715Z digest=sha256:8fad4f86b4c3b58e5dd569b98b37df01ef198b5fe6eb8c73a75b1aeecd01fb4e

Observation 58415deb-a4d5-41b3-8027-89b18aac5b1d · outbound

This paper cites Grs: A group- based recruitment system for mobile crowd sensing,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Grs: A group- based recruitment system for mobile crowd sensing,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.967737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.836276Z digest=sha256:fb65d160f1446dddc4846f921aa168f10b50336e49985250f3868d968622ae23

Observation 4d5881c5-aa08-4632-9add-37d51282402c · outbound

This paper cites A stability- based group recruitment system for continuous mobile crowd sensing,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks A stability- based group recruitment system for continuous mobile crowd sensing,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.952900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.841160Z digest=sha256:55c2223043da2ee7af98efeb00f232fb19ef36689e00d2c275801d201580b2b6

Observation dceaf1c0-8d0c-4fc3-801b-86cda82fcafc · outbound

This paper cites Gale- shapley matching game selection—a framework for user satisfaction,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Gale- shapley matching game selection—a framework for user satisfaction,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.939116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.845305Z digest=sha256:4166204971e1d0287c9385c01ea52bcb60975ecf3e25ff270214c38818ff8213

Observation 6512991f-963f-4712-958b-456fd45f95fc · outbound

This paper cites A greedy- proof incentive-compatible mechanism for group recruitment in mobile crowd sensing,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks A greedy- proof incentive-compatible mechanism for group recruitment in mobile crowd sensing,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.924839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.849333Z digest=sha256:57ebdb903aaedf24c91bcd09c2c053af0def2b2c1895827c7d87490c0e50d512

Observation 3748f23c-5ed2-4259-8bf1-d12ad6088f74 · outbound

This paper cites Multi- worker multi-task selection framework in mobile crowd sourcing,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Multi- worker multi-task selection framework in mobile crowd sourcing,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.911579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.853292Z digest=sha256:6aa77c832c1b9240ca2d29b0b846674d968eb7bfda739d9b3eb1176f2288cfa3

Observation ad7da17c-144d-42d8-877c-f5ea6f6e4167 · outbound

This paper cites Target lo- calization using multi-agent deep reinforcement learning with proximal policy optimization,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Target lo- calization using multi-agent deep reinforcement learning with proximal policy optimization,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.897139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.857156Z digest=sha256:4da47577d0fb9062054af97f0616aaee303e56127241689a53445c32b1c145bc

Observation 7b48296d-19fc-4c51-b182-b631b210888d · outbound

This paper cites Data-driven dynamic active node selection for event localization in iot applications-a case study of radiation localization,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Data-driven dynamic active node selection for event localization in iot applications-a case study of radiation localization,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.882134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.861502Z digest=sha256:0a908347a0ec98f998ad4d0126b2c8c0f7f849bd64ab772bb418556ac02651b1

Observation a8c25d6d-f3af-4a72-b276-e87b136da798 · outbound

This paper cites Rfls-resilient fault- proof localization system in iot and crowd-based sensing applications,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Rfls-resilient fault- proof localization system in iot and crowd-based sensing applications,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.866746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.865738Z digest=sha256:60c9a0b2b941d0cca4a5c9cce28a42538d51be86a3302576ae63cdc2c2b8a3e0

Observation ec7aba0c-4c39-42fb-8ab4-6a357a62f04f · outbound

This paper cites A crowd- sensing framework for allocation of time-constrained and location-based tasks,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks A crowd- sensing framework for allocation of time-constrained and location-based tasks,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.851654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.870768Z digest=sha256:a55f5fcee21ca67b168f47285663a2057fec1ff35ee79332f03cdea9537345f6

Observation d2c38b04-6fe5-4a40-88d7-bcf804226e24 · outbound

This paper cites icrowd: Near-optimal task allocation for piggyback crowdsensing,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks icrowd: Near-optimal task allocation for piggyback crowdsensing,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.837003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.875177Z digest=sha256:4f4b94d4a935fb3db343a87bbb8e64295af05ff555def36997a597ba3323297d

Observation dff5681a-0bc1-4801-97c2-32919abf475b · outbound

This paper cites Sdrs: A stable data-based recruitment system in iot crowdsensing for localization tasks,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Sdrs: A stable data-based recruitment system in iot crowdsensing for localization tasks,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.822775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.879711Z digest=sha256:1fb3512155a1a77de344c53487c100d50b7483816cc88c28c006b84ca94d42f0

Observation 4ec90a1d-2bd4-4c91-863e-7ba43703df7b · outbound

This paper cites 4w1h in mobile crowd sensing,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks 4w1h in mobile crowd sensing,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.807852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.884082Z digest=sha256:15b67d7b0e6bcd6c78014fad272c05b0ad6592c8bbf2d6807e6a4f4e2c0d9f76

Observation 809841ad-42d9-4a62-931b-6b8b0459adf3 · outbound

This paper cites Improving both quan- tity and quality: Incentive mechanism for social mobile crowdsensing architecture,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Improving both quan- tity and quality: Incentive mechanism for social mobile crowdsensing architecture,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.793132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.888098Z digest=sha256:e08b3c875733fcd1bda6ec9b76fc5df9dee2f8cb9bcfb4fb69b0d5a49d8deab4

Observation 10782e75-0b26-407d-b0d7-e24ff0e21208 · outbound

This paper cites Social- network-assisted worker recruitment in mobile crowd sensing,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Social- network-assisted worker recruitment in mobile crowd sensing,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.777456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.892103Z digest=sha256:d8fd838a136a17b34f26042d924870328effb5f3d630a2e30333eb4781d90f2a

Observation b3ca3659-1cb9-47fa-bfde-12b580f3b342 · outbound

This paper cites Task assignment algorithm based on social influence in mobile crowd sensing system,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Task assignment algorithm based on social influence in mobile crowd sensing system,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.761466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.896867Z digest=sha256:6faa837fe2039a71cd5c38c7c9832ced23501f3c00375df165b935a10f32ecb7

Observation 7fe6de9d-c886-4779-b5c8-f48e3e9843f2 · outbound

This paper cites Socialre- cruiter: Dynamic incentive mechanism for mobile crowdsourcing worker recruitment with social networks,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Socialre- cruiter: Dynamic incentive mechanism for mobile crowdsourcing worker recruitment with social networks,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.746377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.901408Z digest=sha256:1fdf9a3363c16aa2f0a72e136c483c79d0b5c545d29f7eadcb48f25d6e24c9e2

Observation a97adee0-4037-4e9f-9a3f-40036ef4de3b · outbound

This paper cites Stack exchange data dump,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Stack exchange data dump,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.731830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.906311Z digest=sha256:360c0f895c975ed74defcf632b80419193dd532e3182a71b04a5ec2218e990ea

Observation 32fd21bf-1047-409c-8484-96624cfe81ef · outbound

This paper cites Large-scale urban vehicular mobility for networking research,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Large-scale urban vehicular mobility for networking research,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.716711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.912052Z digest=sha256:bd56179f4af424d5770e439d0b88a74d6f41389e95ffbc8e9db5bc67046e0eca

Observation 8ae38d05-ba32-4e2a-a8f3-5a20e29d4013 · outbound

This paper cites Generation and analysis of a large-scale urban vehicular mobility dataset,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Generation and analysis of a large-scale urban vehicular mobility dataset,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.701641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.916607Z digest=sha256:1b872dde3e56c3c11c2a9b2fe03fd4be9f698b17bf5e7c3d0937a25ff8903a68

Observation a6199ebf-c7cb-4b23-94b9-f7449ea04ff1 · outbound

This paper cites A novel many-objective evolutionary algorithm based on transfer matrix with kriging model,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks A novel many-objective evolutionary algorithm based on transfer matrix with kriging model,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.686066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.921034Z digest=sha256:162a64ac8005580228649da3d65549f04f5cbf820f645d855c5e9e8e440d7eb9

Observation 6c383a77-867e-4bd6-87be-4beb99dba603 · outbound

This paper cites Multi-objective task scheduling opti- mization in spatial crowdsourcing,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Multi-objective task scheduling opti- mization in spatial crowdsourcing,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.671017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.924982Z digest=sha256:ca0ea140e3ffff880cbccffc3bbdc91a304adccac9527a8e5d3181357459cf0f

Observation dc20000f-447a-4161-89bd-d7f2b3848887 · outbound

This paper cites Enhancing learning efficiency of brain storm optimization via orthogonal learning design,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Enhancing learning efficiency of brain storm optimization via orthogonal learning design,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.656575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.928912Z digest=sha256:e5452717e1726f718fc02ea00789abc86edf8047699a60dfd09a02bcd064d936

Observation 950b30fb-c44b-4c61-aef4-9814e091ce7e · outbound

This paper cites Crowdlet: Optimal worker recruit- ment for self-organized mobile crowdsourcing,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Crowdlet: Optimal worker recruit- ment for self-organized mobile crowdsourcing,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.641725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.933226Z digest=sha256:cd2329a424eb424a0b52f75a384e08e973f44f3b3cc2ca1b2c5e676f1eccf371

Observation 062dbfb5-98f4-4188-8d04-349474e5e383 · outbound

This paper cites A quality as- suring, cost optimal multi-armed bandit mechanism for expertsourcing,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks A quality as- suring, cost optimal multi-armed bandit mechanism for expertsourcing,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.627022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.937839Z digest=sha256:56b567e56c3077b45c109259369ae2fae0c4a66b2f5f35f3a43e4e6d1667e264

Observation 1f259381-21c3-40eb-ae84-9f9437dcaa66 · outbound

This paper cites Privacy-preserving worker recruitment under variety requirement in spatial crowdsourcing,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Privacy-preserving worker recruitment under variety requirement in spatial crowdsourcing,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.611912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.942775Z digest=sha256:2a1f6867406f7bead89aa2dd0d08888baa638f2349778325e5d127036bb104b5

Observation 227e5359-7256-4346-8284-5f9d01861d25 · outbound

This paper cites Data-driven many- objective crowd worker selection for mobile crowdsourcing in industrial iot,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Data-driven many- objective crowd worker selection for mobile crowdsourcing in industrial iot,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.596426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.947478Z digest=sha256:b99a69b44832bbb83d50e8bb92be46064c97846bf0e910934178522c0fca4318

Observation d1dee865-3e9b-40fb-a90e-2a1c53731ff3 · outbound

This paper cites Ma- chine learning in mobile crowd sourcing: A behavior-based recruitment model,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Ma- chine learning in mobile crowd sourcing: A behavior-based recruitment model,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.581813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.952054Z digest=sha256:369240ebb534e4de0aad63af3eef159061285f3b983bc31c6c9e1ade43840ba7

Observation 6bacb2b7-962b-4881-bf9a-828d04719916 · outbound

This paper cites Time constrained influence maximization in social networks,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Time constrained influence maximization in social networks,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.567056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.956362Z digest=sha256:70461bfcb4bc7eaf8634667d92671ac4998c234eafc41828c77213e4277f966a

Observation e455ca9e-8d72-4a52-8555-b010079e3d4b · outbound

This paper cites Influence maximization on social graphs: A survey,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Influence maximization on social graphs: A survey,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.552596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.960826Z digest=sha256:c0b44baf10bbf626c846abcd8898c605091e3defb1603a5a6d1bba7e3be1dd3b

Observation c95ef9a8-68b8-43b2-9772-a502d7d9d586 · outbound

This paper cites Information diffusion in online social networks: A survey,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Information diffusion in online social networks: A survey,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.538873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.965492Z digest=sha256:0e8d112d695f46fc21d942eacdd0ed98e6356276ac1d4dfea810576ca5d2b858

Observation 6d1157d8-de05-4e3a-887d-01929429f640 · outbound

This paper cites Maximizing the spread of influence through a social network,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Maximizing the spread of influence through a social network,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.524392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.969938Z digest=sha256:d1157029f3afb8fea0172b3a5718c56cdba81f29dcf167dec52539ef59d65d3b

Observation 8fa59df5-a085-49db-a4fc-df1d3dd2f434 · outbound

This paper cites Information and influence propagation in social networks,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Information and influence propagation in social networks,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.510585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.974656Z digest=sha256:9aff398a47ce34e35db0057ab8c61efae973568def62387a391e78fc8dd84e6f

Observation ee56dd82-227b-4bb9-ab2d-6a99fda96e9c · outbound

This paper cites Celf++ optimizing the greedy algorithm for influence maximization in social networks,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Celf++ optimizing the greedy algorithm for influence maximization in social networks,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.495159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.979493Z digest=sha256:9b5750567eae590712881c00ce1d0626b501504b321cbd9905efb92bb38e468f

Observation be3c9657-6851-484e-99bb-18ee80e66e13 · outbound

This paper cites On the upper bounds of spread for greedy algorithms in social network influence maximization,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks On the upper bounds of spread for greedy algorithms in social network influence maximization,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.479384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.984124Z digest=sha256:8011855d93e2a29bb9deebeaca7e6ef0ad847292f7752f40d05d15c9025b72df

Observation 3c013b97-fe9d-444f-98ce-061bceac56dd · outbound

This paper cites Maximizing social influence in nearly optimal time,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Maximizing social influence in nearly optimal time,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.463144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.988601Z digest=sha256:c7f1417e3321d549180323d58048548a451492fa67c1ed3ecfef75e8a07e1c1b

Observation 4e0be119-c3ee-4584-8c1d-79d57c064e58 · outbound

This paper cites Influence maximization: Near-optimal time complexity meets practical efficiency,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Influence maximization: Near-optimal time complexity meets practical efficiency,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.445323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.993207Z digest=sha256:59d2aba29b4fca8b7856379c4cb73b42359b4fbc07b665980d4a0f299bcad11d

Observation 7074f9c3-240c-487d-b256-2d9cf84516ba · outbound

This paper cites Bring order into the samples: A novel scalable method for influence maximization,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Bring order into the samples: A novel scalable method for influence maximization,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.429767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:12.997950Z digest=sha256:9fb4b0fdb95f8d21152ef52f1f249fb99cb5f39235217cb899bb78fdc9b76c4d

Observation 47455f25-2873-4999-9c8b-19bfc56a306b · outbound

This paper cites Influence maximization in near-linear time: A martingale approach,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Influence maximization in near-linear time: A martingale approach,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.413924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:13.002401Z digest=sha256:3ce32d6d959ae1008f504a29cc92d665529a18c4331b9dd4cfd186acde24dcc8

Observation b724ad09-c422-4b96-9eae-979dedc6a32d · outbound

This paper cites Influence maximization revis- ited: Efficient reverse reachable set generation with bound tightened,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Influence maximization revis- ited: Efficient reverse reachable set generation with bound tightened,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.397952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:13.006949Z digest=sha256:a9f678c733385472184b6310702c705c2fa843c2eee25f66b9bd5fed5de5207f

Observation 3fd533c2-d0ef-4021-a1e2-b033e6d151e7 · outbound

This paper cites Tifim: A two- stage iterative framework for influence maximization in social networks,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Tifim: A two- stage iterative framework for influence maximization in social networks,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.381868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:13.011551Z digest=sha256:dbae58eb784936dae7c99a96f215318c97d2fcae120fbcde916c7de6c2595582

Observation fecf683c-45e2-4220-8787-9a2347761e17 · outbound

This paper cites The pagerank citation ranking: Bringing order to the web.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks The pagerank citation ranking: Bringing order to the web

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T18:54:13.016679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:54:13.016679Z digest=sha256:9a65e15dc5bcd00a50d0256aac98b95e61c59621cc4f0945d5d62e4cda105660

Observation d14f401c-38e6-4ace-b635-0b1c281bd00b · outbound

This paper cites Centrality in social networks conceptual clarification,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Centrality in social networks conceptual clarification,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.354638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:13.021447Z digest=sha256:e667afa8e3f7a908e18779c4beeb8881d6c43b8c5bd08b8fac63eb43aac4e6b7

Observation 999d7ec1-52c1-4849-b648-a26c0f89a53e · outbound

This paper cites A shapley value-based approach to discover influential nodes in social networks,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks A shapley value-based approach to discover influential nodes in social networks,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.340149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:13.027537Z digest=sha256:af03653a504869a7e5f6fb58c95fa091bc8955b27cbaf5233027dc5a53b124d1

Observation 99e576ca-8f5e-484c-842b-e9c6a3a37b94 · outbound

This paper cites Holistic influence maximization: Combining scalability and efficiency with opinion-aware models,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Holistic influence maximization: Combining scalability and efficiency with opinion-aware models,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.325255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:13.032171Z digest=sha256:c28725a5f08b03618cfaea1063df8d35c87e6e027328b7abccb7476d37f358e1

Observation a14aad49-5cfb-466b-a831-05a3c3ca1b3b · outbound

This paper cites Irie: Scalable and robust influence maximization in social networks,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Irie: Scalable and robust influence maximization in social networks,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.311671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:13.036742Z digest=sha256:f9dd76bcb6024d674ccebecf9eedd687541f49a5371fd63914f5066f71b5bfa7

Observation 1693ad8d-36ec-4a55-a184-33079bd281c8 · outbound

This paper cites Influence maximization meets efficiency and effectiveness: A hop-based approach,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Influence maximization meets efficiency and effectiveness: A hop-based approach,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.297684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:13.041229Z digest=sha256:db0283f9078b144e67e2d9c355f62d2e3d297a89338fa640825d04b89d0f38d3

Observation 319bef72-9324-4903-be85-2725d478437a · outbound

This paper cites Community aware random walk for network embedding,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Community aware random walk for network embedding,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.283825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:13.045841Z digest=sha256:ad2a52233eceed020c6a835ad41d2a43f3efd2b0cff37885a06acba25f8e8c87

Observation 59c9520b-e686-4c12-af02-77e7d57d3945 · outbound

This paper cites Influence maximization across heterogeneous interconnected networks based on deep learning,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Influence maximization across heterogeneous interconnected networks based on deep learning,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.269495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:13.049911Z digest=sha256:a5b6c0b4840717094f90436db1a4c7f410068c85e189e03a7625d07e27d10f7f

Observation febbd331-8eb2-491c-8c71-4836e4dc29c2 · outbound

This paper cites Mining user interests over active topics on social networks,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Mining user interests over active topics on social networks,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.254213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:13.054187Z digest=sha256:bf8315e8fafde87ae1406c151b25d33e08464806e87fda31002d45a07db751a2

Observation 795c573e-9630-4689-96b0-b788406f01a5 · outbound

This paper cites Mining expertise and interests from social media,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Mining expertise and interests from social media,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.239908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:13.058172Z digest=sha256:8b816e6784c3fbbebe68ab8531645d38e8a518ccae72b48c5177527a5e86da57

Observation 2ad60ac5-75f1-4988-87da-a567f8306aa7 · outbound

This paper cites Analyzing dependent variables with multiple surrogates in financial performance research,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Analyzing dependent variables with multiple surrogates in financial performance research,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.223900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:13.062123Z digest=sha256:88ff8c464e08f28f867dbb19e069c50201df4c94ed3b6b11dd9d211bd6bb3890

Observation fbe84e58-d977-4dfb-a7e2-76124e835142 · outbound

This paper cites An appraisal of meta-heuristic resource allocation techniques for iaas cloud,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks An appraisal of meta-heuristic resource allocation techniques for iaas cloud,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.208443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:13.066209Z digest=sha256:0ef5a3ea6bd9736337b8543b921939ecf06d134dcc685751810bc646593f62ce

Observation c1df6d6f-77b1-458b-9bea-2c4bcec99c2b · outbound

This paper cites Performance comparison of genetic algorithm, differential evolution and particle swarm optimization towards bench- mark functions,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Performance comparison of genetic algorithm, differential evolution and particle swarm optimization towards bench- mark functions,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.191210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:13.070313Z digest=sha256:c6c740a5a85abf4b701965df2d76f0c683fbdef9ba7d89038fbcbe8c37042d56

Observation a5308922-9f4b-4cf4-8414-7f3e54b1c8bd · outbound

This paper cites Talk of the network: A complex systems look at the underlying process of word-of-mouth,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Talk of the network: A complex systems look at the underlying process of word-of-mouth,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.175264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:13.074487Z digest=sha256:bccdeb86809d2957b18d963eb0da01ec6a90e1c6258f4a785a1693008216e0ed

Observation 9f245ab3-3b8c-4c3f-968e-e786ba805442 · outbound

This paper cites Engagement rate among influencers on instagram in the united states in 2018 and 2019, by number of followers,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Engagement rate among influencers on instagram in the united states in 2018 and 2019, by number of followers,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.159973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:13.078569Z digest=sha256:3cf667ab4d8c5e94160ce7e61bd52b0184bc6cb5888d29178bdf116d1979334c

Observation cb64d696-6014-4576-a093-88e3a03b3af4 · outbound

This paper cites Average engagement rate on influencer-generated content on instagram worldwide in 2017, by follower count,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Average engagement rate on influencer-generated content on instagram worldwide in 2017, by follower count,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.144435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:13.083918Z digest=sha256:ee1165c906ce9bea7df153916baa30702eee48e8dcb54fc66945c9571dc9f14d

Observation a27cc028-f1e2-4d01-bdeb-11c404307bba · outbound

This paper cites Quality and budget aware task allocation for spatial crowdsourcing,.

Influence- and Interest-based Worker Recruitment in Crowdsourcing using Online Social Networks Quality and budget aware task allocation for spatial crowdsourcing,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:54:13.127556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T18:54:13.088609Z digest=sha256:0de9b6fce7cab6fb7a423a9f7ac42e0e163ef24ff610226c1855bc5ed736cccd

Pith citing papers

No inbound Pith citation observations are available.