The Community for Technology Leaders
Web Information Systems and Applications Conference (2012)
Haikou, China China
Nov. 16, 2012 to Nov. 18, 2012
ISBN: 978-1-4673-3054-1
pp: 147-152
We study the integration of individuals attributes to infer their influence ability in social network in this paper. The influence between individuals is usually asymmetric and can propagate via edges gradually. We suggest an Influence Factor Graph(IFG) which can integrate different node and edge features into a uniform inferring model. And for each node the model can compute personalized influence ability value. Experiment results in Zarchary and Wikipedia co-editing social networks show that, the model can depict influence reasonably and reveal some interesting social influence rules.
Social network services, Computational modeling, Encyclopedias, Electronic publishing, Internet, Inference algorithms, Inferring model, Factor Graph, Social Network

H. Zhang, W. Gan and F. Xu, "Inferring Individual Influence in Social Network," Web Information Systems and Applications Conference(WISA), Haikou, China China, 2012, pp. 147-152.
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