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Intell. Syst. Technol."],"published-print":{"date-parts":[[2019,1,31]]},"abstract":"<jats:p>Information diffusion analysis is important in social media. In this work, we present a coherent ego-centric and event-centric model to investigate diffusion patterns and user behaviors. Applying the model, we propose Diffusion Map+ (D-Maps+), a novel visualization method to support exploration and analysis of user behaviors and diffusion patterns through a map metaphor. For ego-centric analysis, users who participated in reposting (i.e., resending a message initially posted by others) one central user\u2019s posts (i.e., a series of original tweets) are collected. Event-centric analysis focuses on multiple central users discussing a specific event, with all the people participating and reposting messages about it. Social media users are mapped to a hexagonal grid based on their behavior similarities and in the chronological order of repostings. With the additional interactions and linkings, D-Map+ is capable of providing visual profiling of influential users, describing their social behaviors and analyzing the evolution of significant events in social media. A comprehensive visual analysis system is developed to support interactive exploration with D-Map+. We evaluate our work with real-world social media data and find interesting patterns among users and events. We also perform evaluations including user studies and expert feedback to certify the capabilities of our method.<\/jats:p>","DOI":"10.1145\/3183347","type":"journal-article","created":{"date-parts":[[2018,11,28]],"date-time":"2018-11-28T19:16:01Z","timestamp":1543432561000},"page":"1-26","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["D-Map+"],"prefix":"10.1145","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2690-3588","authenticated-orcid":false,"given":"Siming","family":"Chen","sequence":"first","affiliation":[{"name":"Key Laboratory of Machine Perception (Ministry of Education) and School of EECS, Peking University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6483-1343","authenticated-orcid":false,"given":"Shuai","family":"Chen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Machine Perception (Ministry of Education) and School of EECS, Peking University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenhuang","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Machine Perception (Ministry of Education) and School of EECS, Peking University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Liang","sequence":"additional","affiliation":[{"name":"Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yadong","family":"Wu","sequence":"additional","affiliation":[{"name":"Southwest University of Science and Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoru","family":"Yuan","sequence":"additional","affiliation":[{"name":"Key Laboratory of Machine Perception (Ministry of Education) and School of EECS, Peking University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,11,28]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Telea","author":"Archambault Daniel","year":"2014"},{"key":"e_1_2_1_2_1","volume-title":"Blaha","author":"Arendt Dustin Lockhart","year":"2014"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12791"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2011.185"},{"key":"e_1_2_1_5_1","volume-title":"EuroVis06: Joint Eurographics - 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