{"paper":{"title":"Monitoring dynamic networks: a simulation-based strategy for comparing monitoring methods and a comparative study","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SI","physics.soc-ph"],"primary_cat":"stat.CO","authors_text":"Inez M. Zwetsloot, James D. Wilson, Kwok Leung Tsui, Lisha Yu, Nathaniel T. Stevens","submitted_at":"2019-05-24T15:57:49Z","abstract_excerpt":"Recently there has been a lot of interest in monitoring and identifying changes in dynamic networks, which has led to the development of a variety of monitoring methods. Unfortunately, these methods have not been systematically compared; moreover, new methods are often designed for a specialized use case. In light of this, we propose the use of simulation to compare the performance of network monitoring methods over a variety of dynamic network changes. Using our family of simulated dynamic networks, we compare the performance of several state-of-the-art social network monitoring methods in th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.10302","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}