Your Friends Have More Friends Than You Do: Identifying Influential Mobile Users Through Random-Walk Sampling
In this paper, we investigate the problem of identifying influential users in mobile social networks. Influential users are individuals with high centrality in their social-contact graphs. Traditional approaches find these users through centralized algorithms. However, the computational complexity o...
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Published in | IEEE/ACM transactions on networking Vol. 22; no. 5; pp. 1389 - 1400 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.10.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
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