{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T11:16:33Z","timestamp":1768907793058,"version":"3.49.0"},"reference-count":44,"publisher":"World Scientific Pub Co Pte Lt","issue":"01n02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Coop. Info. Syst."],"published-print":{"date-parts":[[2020,3]]},"abstract":"<jats:p> The development of crowd intelligence makes the structure of social network more complex and changeable. Research on social network should be more in-depth and focus on the changes of structure. Ego-network, which represents the relationship between specific individual and the related people, is a hot issue among the research of dynamic social network. The evolution of ego-network is highly dynamic and pluralistic, it is hard to capture its evolutionary pattern over time. To help users analyze the individual characteristics and hidden patterns in multivariate ego-network, we present EgoVis, an interactive visual analysis system for exploring and analyzing complex structural relationships in dynamic network. Based on the task requirements of network evolution analysis, we propose a task taxonomy which is suitable for ego-network research and analysis, design novel visual fonts, and analyze the evolution of dynamic ego-network relations from the three dimensions: overview, subgroup, and detail-ego. Finally, the validity and practicability of EgoVis are verified on DBLP citation network dataset. <\/jats:p>","DOI":"10.1142\/s0218843019300031","type":"journal-article","created":{"date-parts":[[2019,11,25]],"date-time":"2019-11-25T01:14:17Z","timestamp":1574644457000},"page":"1930003","source":"Crossref","is-referenced-by-count":7,"title":["EgoVis: A Visual Analysis System for Social Networks Based on Egocentric Research"],"prefix":"10.1142","volume":"29","author":[{"given":"Qiang","family":"Lu","sequence":"first","affiliation":[{"name":"Key Laboratory of Knowledge Engineering with Big Data, (Hefei University of Technology), Ministry of Education, P. R. China"},{"name":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yifan","family":"Ge","sequence":"additional","affiliation":[{"name":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dajiu","family":"Wen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, P. R. 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