Determining Influential Users in Internet Social Networks
University of Maryland, College Park · University of California, Los Angeles · +1 more institution
Abstract
The success of Internet social networking sites depends on the number and activity levels of their user members. Although users typically have numerous connections to other site members (i.e., “friends”), only a fraction of those so-called friends may actually influence a member's site usage. Because the influence of potentially hundreds of friends needs to be evaluated for each user, inferring precisely who is influential—and, therefore, of managerial interest for advertising targeting and retention efforts—is difficult. The authors develop an approach to determine which users have significant effects on the activities of others using the longitudinal records of members' log-in activity. They propose a…
Citation impact
- FWCI
- 32.96
- Percentile
- 100%
- References
- 20
Authors
3Topics & keywords
- The Internet
- Computer science
- Poisson regression
- Internet privacy
- Poisson distribution
- Social network (sociolinguistics)
- World Wide Web
- Fraction (chemistry)