Paper Info
Title
A dynamic influence model of social network hotspot based on grey system
Abstract
The outbreak of hotspot in social network may contain complex dynamic genesis. Using user behavior data from hotspots in social network, we study how different user groups play different roles for a hotspot topic. Firstly, by analyzing users’ behavior records, we mine group situation that promotes the hotspot. Several major attributions in a hotspot outbreak, such as individual, peer and group triggers, are defined formally according to the view-point of social identity, social interaction, retweet depth and opinion leader. Secondly, for the problem of the uneven and sparse data in each stage of hotspot topic’s life cycle, we propose a dynamic influence model based on grey system to formalize the effect of different groups. Then the process of hotspot evolution driven by distinct crowd is showed dynamically. The experimental result confirms that the model is able not only to qualify users’ influence on a hotspot topic but also to predict effectively an upcoming change in a hotspot topic.
Year
DOI
Venue
2015
10.1007/s11432-015-5439-y
Science China Information Sciences
Keywords
Field
DocType
social network, hotspot topic, grey system, influence model, dynamic evolution, 热点话题, 灰色系统, 影响力模型, 动态演化, 122101
Social relation,Data mining,Social identity theory,Social network,Hotspot (geology),Opinion leadership,Hotspot (Wi-Fi),Mathematics,Gray (horse)
Journal
Volume
Issue
ISSN
58
12
1869-1919
Citations 
PageRank 
References 
0
0.34
27
Authors
4
Name
Order
Citations
PageRank
yunpeng xiao161.79
Jing Ma213134.06
Yanbing Liu315516.38
Zhixian Yan472634.14