Title
Temporal Topic-Based Multi-Dimensional Social Influence Evaluation in Online Social Networks.
Abstract
Analytical applications in online social networks can be generalized as the influence evaluation problem, which targets at finding most influential users. Nowadays social influence evaluation is still an open and challenging issue. Most influence evaluation models focus on the single dimensional evaluation factor but fail to research on the multi-dimensional factors. In this paper, we propose a novel influence evaluation model: the temporal topic influence (TTI) evaluation model, which is a time-aware, content-aware and structure-aware evaluation model. For the aim of multi-dimensional evaluation, we incorporate multi-dimensional measure factors into our model, including the time factor, the topological information and the topic distribution information, etc. We propose a novel concept of user gravitational ability which is inspired by Newton’s law of universal gravitation. It can integrate multi-dimensional factors in an appropriate way. Our experiments are conducted on the Sina Weibo data set. Through the experimental analysis, we prove TTI model can calculate users’ influences effectively and efficiently. The TTI model can distinguish the value of users’ influences. And the TTI model identifies the top- influential users with higher quality. We also validate the effect of time and topic measure factors in the influence evaluation process.
Year
DOI
Venue
2017
https://doi.org/10.1007/s11277-017-4047-0
Wireless Personal Communications
Keywords
Field
DocType
Social influence,Online social networks,User gravitation ability,Multi-dimensional factors
Newton's law of universal gravitation,Data mining,Multi dimensional,Social network,Topological information,Computer science,Social influence,Time factor,Gravitation
Journal
Volume
Issue
ISSN
95
3
0929-6212
Citations 
PageRank 
References 
1
0.35
19
Authors
4
Name
Order
Citations
PageRank
Feng Wang1102.83
Jianbin Li2272.02
Wenjun Jiang335624.25
Guojun Wang443747.52