Generating social networks with static and dynamic utility-maximization approaches | Paper Citation Record

Observation 93846d3a-0099-4f61-8848-31d2ebafc8ed · outbound

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Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 2

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Observation a9bdda85-72a4-446a-bacc-08c8381d8c4c · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 3

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Observation 723b2beb-13a7-4c9a-a353-21da42a64dd8 · outbound

This paper cites In addition, all generated networks verify pairwise stability [21] (see the supplementary materials for a proof).

Generating social networks with static and dynamic utility-maximization approaches In addition, all generated networks verify pairwise stability [21] (see the supplementary materials for a proof)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:14:34.355637Z

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Observation a452d3fc-16eb-463d-9f9c-1157a97d5556 · outbound

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Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:14:34.318764Z

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Observation 7544d6af-ea77-4ac2-a24f-f90145ea7611 · outbound

This paper cites Moreover, α∗∗ the solution of the associated SOP, verifies: ∀(i, j) ∈ J1..N K2, α∗∗ i,j = (αmax {i,j})∗ min {i,j} D.

Generating social networks with static and dynamic utility-maximization approaches Moreover, α∗∗ the solution of the associated SOP, verifies: ∀(i, j) ∈ J1..N K2, α∗∗ i,j = (αmax {i,j})∗ min {i,j} D

Reference 7

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T13:14:34.293861Z

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Observation 718cfe7b-ee1b-4107-81c0-2c211a2cd949 · outbound

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Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 8

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Observation 88ad5a34-be21-4459-9568-f93d485bed14 · outbound

This paper cites Barab´ asi and R.

Generating social networks with static and dynamic utility-maximization approaches Barab´ asi and R

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:14:34.275663Z

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Observation b9166b40-9b76-4990-814e-fcd2b99ce770 · outbound

This paper cites Hamill and N.

Generating social networks with static and dynamic utility-maximization approaches Hamill and N

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:14:34.253184Z

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Observation a03d686e-d1d8-458f-beb6-251f590e39c4 · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:14:34.241720Z

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Observation 2fa93d65-b38f-468f-9403-465b80217f62 · outbound

This paper cites Erling, A.

Generating social networks with static and dynamic utility-maximization approaches Erling, A

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:14:34.230731Z

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Observation 9a844bb6-7165-4751-a7ca-e72ed85c8c75 · outbound

This paper cites Zhuge, C.

Generating social networks with static and dynamic utility-maximization approaches Zhuge, C

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:14:34.218825Z

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Observation eb585042-c638-437e-ac0f-dc7776368c28 · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:14:34.206723Z

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Observation 0e9791f1-ec7c-404f-8469-9cf7872a207a · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:14:34.194847Z

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Observation 9b0e0229-f2d8-4880-8476-6d48a2cd58b1 · outbound

This paper cites Duchemin and Y.

Generating social networks with static and dynamic utility-maximization approaches Duchemin and Y

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:14:34.182208Z

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Observation abe12638-d2f1-43c7-83e1-d9575ac9dd10 · outbound

This paper cites Krioukov, Clustering implies geometry in networks, Physical review letters 116, 208302 (2016).

Generating social networks with static and dynamic utility-maximization approaches Krioukov, Clustering implies geometry in networks, Physical review letters 116, 208302 (2016)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:14:34.168842Z

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Observation 19e24f3e-026a-4eb5-a255-432e0ba84ace · outbound

This paper cites Homophily as a Process Generating Social Networks: Insights from Social Distance Attachment Model.

Generating social networks with static and dynamic utility-maximization approaches Homophily as a Process Generating Social Networks: Insights from Social Distance Attachment Model

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-12T13:14:33.858482Z

Source-reported events for the cited work

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Observation a1023e3f-96a2-4fed-bb51-26269ddca503 · outbound

This paper cites Iijima, R.

Generating social networks with static and dynamic utility-maximization approaches Iijima, R

Reference 19

Resolution: verified exact; doi, observed 2026-08-12T13:14:33.749218Z

Source-reported events for the cited work

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Observation 6c20da4b-c455-4e3a-86ed-7ca384671189 · outbound

This paper cites Latent Space Network Modelling with Hyperbolic and Spherical Geometries.

Generating social networks with static and dynamic utility-maximization approaches Latent Space Network Modelling with Hyperbolic and Spherical Geometries

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T13:14:33.478811Z

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Observation 228af32d-4e01-486e-8cd1-05bd013f5f81 · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:14:34.158422Z

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Observation 6a97c9be-b34c-4ce3-9d4a-213f16ceb767 · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:14:34.147750Z

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Observation af64dec9-e98a-4d90-89ad-e138f39d8850 · outbound

This paper cites De Caux, C.

Generating social networks with static and dynamic utility-maximization approaches De Caux, C

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:14:34.136591Z

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Observation 8db5bd42-59c0-448a-ae6e-b0203e026261 · outbound

This paper cites Klopp, A.

Generating social networks with static and dynamic utility-maximization approaches Klopp, A

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:14:34.124371Z

Source-reported events for the cited work

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Observation c33e75ad-eae8-42fe-8f1a-179c047a6192 · outbound

This paper cites Klopp and N.

Generating social networks with static and dynamic utility-maximization approaches Klopp and N

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:14:34.112580Z

Source-reported events for the cited work

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Observation a5f17cc9-60de-4e9b-b24d-d386f6250279 · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:14:34.100815Z

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Observation 4a269d56-bbf9-4c87-9e2b-7ee030db78bf · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T13:14:33.509774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d475985c-a45e-4a8f-9e58-5eddaef55e32 · outbound

This paper cites Hellmann and M.

Generating social networks with static and dynamic utility-maximization approaches Hellmann and M

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:14:34.089454Z

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Observation f42d5fa9-6d69-49dc-a2c2-63f68470c159 · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:14:34.077320Z

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Observation e297e103-2cdd-4ce7-9eb6-932e85855f8d · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:14:34.065156Z

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Observation 9d200c6f-a183-4b8b-86ef-ba30d7e7f3c5 · outbound

This paper cites Bonacich, Power and centrality: A family of measures, American journal of sociology 92, 1170 (1987).

Generating social networks with static and dynamic utility-maximization approaches Bonacich, Power and centrality: A family of measures, American journal of sociology 92, 1170 (1987)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:14:34.051769Z

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Observation aad860ea-de22-4108-bc8a-a540ba130045 · outbound

This paper cites Tesfatsion, A trade network game with endogenous partner selection, in Computational approaches to eco- nomic problems (Springer, 1997) pp.

Generating social networks with static and dynamic utility-maximization approaches Tesfatsion, A trade network game with endogenous partner selection, in Computational approaches to eco- nomic problems (Springer, 1997) pp

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:14:34.040450Z

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Observation 1fc0419f-c35c-4aab-b226-4288e8e2c316 · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:14:34.027108Z

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Observation 72960471-858d-4ada-ba53-b0103d7b5e3e · outbound

This paper cites Kunegis, KONECT – The Koblenz Network Collec- tion, in Proc.

Generating social networks with static and dynamic utility-maximization approaches Kunegis, KONECT – The Koblenz Network Collec- tion, in Proc

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:14:34.014255Z

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Observation dc803417-f30b-47a1-b3ff-587f032ef150 · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:14:34.001305Z

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Observation ac40f8ba-686e-4eaa-84f7-2230a23bc245 · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:14:33.990012Z

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Observation 7f19963b-77d4-4f80-88db-c817cb104219 · outbound

This paper cites Johnson, Epidemic modelling requires knowledge of the social network, Journal of Physics: Complexity 5, 01LT01 (2024).

Generating social networks with static and dynamic utility-maximization approaches Johnson, Epidemic modelling requires knowledge of the social network, Journal of Physics: Complexity 5, 01LT01 (2024)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:14:33.979191Z

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Observation 8f9a3def-851d-4989-9d33-66abf06fb597 · outbound

This paper cites For a given I ∈ N∗, a utility function U (α, C) is an element of UI , the set of applications U : RI−1 × (R∗ +)I−1 − →R with [0, 1) ⊆ R ⊆R, and RI−1 convex.

Generating social networks with static and dynamic utility-maximization approaches For a given I ∈ N∗, a utility function U (α, C) is an element of UI , the set of applications U : RI−1 × (R∗ +)I−1 − →R with [0, 1) ⊆ R ⊆R, and RI−1 convex

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:14:33.968810Z

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Observation aa116277-4344-44fa-af31-616419c4e787 · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:14:33.958026Z

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Observation 8581c0dc-8aa7-42ca-ba61-8069de5df0e5 · outbound

This paper cites ∀i, ∂U ∂αi = H(ci, αi) + S(α) 3.

Generating social networks with static and dynamic utility-maximization approaches ∀i, ∂U ∂αi = H(ci, αi) + S(α) 3

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:14:33.946073Z

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Observation d67c3587-382c-4836-b6de-daf5f4d72649 · outbound

This paper cites For a given individuals graph GN (I , α, C), we define for all individual i ∈ J1..N K the Individual Optimization Problem (IOP) as: ( argmaxαi Ui(αi, Ci) s.t.

Generating social networks with static and dynamic utility-maximization approaches For a given individuals graph GN (I , α, C), we define for all individual i ∈ J1..N K the Individual Optimization Problem (IOP) as: ( argmaxαi Ui(αi, Ci) s.t

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:14:33.933963Z

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Observation c9b16d4d-582a-4007-a321-fcdbc3c73e8e · outbound

This paper cites ∀i ∈ J1..N K, Ci ∈ S (¯c), with S (¯c) the symmetric group of ¯c.

Generating social networks with static and dynamic utility-maximization approaches ∀i ∈ J1..N K, Ci ∈ S (¯c), with S (¯c) the symmetric group of ¯c

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:14:34.306922Z

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Observation cadf3426-3a6d-4338-92cd-ef3aad40bf3d · outbound

This paper cites Moreover, α∗∗ the solution of the associated SOP, verifies: ∀(i, j) ∈ J1..N K2, α∗∗ i,j = (αmax {i,j})∗ min {i,j} Proof (Theorem 8).

Generating social networks with static and dynamic utility-maximization approaches Moreover, α∗∗ the solution of the associated SOP, verifies: ∀(i, j) ∈ J1..N K2, α∗∗ i,j = (αmax {i,j})∗ min {i,j} Proof (Theorem 8)

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:14:33.920996Z

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Observation fcda397e-192c-4571-bbc5-573f2a6320c1 · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:14:34.342938Z

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Observation 5c80a84d-330a-4e2c-8de5-928fe7249ebf · outbound

This paper cites C = ( C ∈ (R∗ +)nI , c ij ∈ ( {¯cij} if αij > 0 (0, ¯cij] if αij = 0 ) Proof (Theorem 9).

Generating social networks with static and dynamic utility-maximization approaches C = ( C ∈ (R∗ +)nI , c ij ∈ ( {¯cij} if αij > 0 (0, ¯cij] if αij = 0 ) Proof (Theorem 9)

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:14:33.908328Z

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Observation 1fb8e300-d43c-433b-aad0-9c0c35dc3b80 · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:14:33.895728Z

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Observation 762549e6-96b4-4963-9f7d-6ab0fe42e259 · outbound

This paper cites Every graph G(I , α, C) that is solution of the Social Optimization Problem (Definition 10) is pair- wise stable.

Generating social networks with static and dynamic utility-maximization approaches Every graph G(I , α, C) that is solution of the Social Optimization Problem (Definition 10) is pair- wise stable

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:14:33.883078Z

Source-reported events for the cited work

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Observation aa36d775-d427-4c71-b212-64b535338950 · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:14:33.871305Z

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