Abstract | ||
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In today's world, individuals interact with each other in more complicated patterns than ever. Some individuals engage through online social networks (e.g., Facebook, Twitter), while some communicate only through conventional ways (e.g., face-to-face). Therefore, understanding the dynamics of information propagation among humans calls for a multi-layer network model where an online social network ... |
Year | DOI | Venue |
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2016 | 10.1109/TNSE.2016.2600059 | IEEE Transactions on Network Science and Engineering |
Keywords | DocType | Volume |
Facebook,Computational modeling,Nonhomogeneous media,Twitter,Sociology,Statistics,Pattern recognition | Journal | 3 |
Issue | ISSN | Citations |
4 | 2327-4697 | 9 |
PageRank | References | Authors |
0.59 | 18 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yong Zhuang | 1 | 254 | 13.88 |
Osman Yagan | 2 | 430 | 43.65 |