A graph-based action network framework to identify prestigious members through member's prestige evolution

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 复杂系统研究团队

	A graph-based action network framework to identify prestigious members through member's prestige evolution
	Lu, Dongyuan 1; Li, Qiudan1 ; Liao, Stephen Shaoyi 2
刊名	DECISION SUPPORT SYSTEMS
	2012-04-01
卷号	53 期号:1 页码:44-54
关键词	Favor action network framework Prestigious members prediction Communication behaviour Structural properties investigation Potential favor behaviour analysis
通讯作者	Li, Qiudan
英文摘要	Prestigious members on social networking websites are attracting increasing attentions from peers and corporations. People are used to consulting prestigious members for useful information and corporations are seeking opportunities to leverage them for "word of mouth" advertising. Identification and recognition of these prestigious members have been a crucial issue. Besides, the dynamic nature of members' behaviour determines the evolving nature of members' prestige. With the evolution of members' behaviour, currently prestigious members may be substituted by others who are not prestigious at present. The prediction of members' prestige evolution will help discover potential prestigious members, which will then help both people and corporations move to secure their long-term interests. However, little work has been done in relation to prediction of prestigious members. This paper aims to fill this gap specially using Flickr groups as a testbed. By investigating social actions among members, a graph-based action network framework to predict evolution of prestigious members has been proposed. Based on the social structural theory, which points out the interactive effect between social structure and users' actions, a favor action network that captures the social actions of choosing favourite photos of members is constructed. According to the network theory, properties of the nodes in the favor action network are investigated to identify currently prestigious members, and structural properties underlying the favor action network are mined to analyze the communication behaviour of members in a group. Further, the sociological theory inspires four key factors that affect members' favor action intentions, which are homophily, triadic interaction rule, continuity and recency. Based on the above analysis, a hybrid algorithm taking all these four factors into account is proposed to predict members' prestige evolution. Finally, several comprehensive and systematic analyses are designed and conducted to evaluate each of the functional components of the proposed framework. Results of evaluation on a real-world dataset validate its performance. (C) 2011 Elsevier B.V. All rights reserved.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Operations Research & Management Science
研究领域[WOS]	Computer Science ; Operations Research & Management Science
关键词[WOS]	SOCIAL NETWORKS ; IDENTIFICATION
收录类别	SCI ; SSCI
语种	英语
WOS记录号	WOS:000302982300005
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/2929]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_复杂系统研究团队
作者单位	1.Chinese Acad Sci, Inst Automat, Beijing 100864, Peoples R China 2.City Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China
推荐引用方式 GB/T 7714	Lu, Dongyuan,Li, Qiudan,Liao, Stephen Shaoyi. A graph-based action network framework to identify prestigious members through member's prestige evolution[J]. DECISION SUPPORT SYSTEMS,2012,53(1):44-54.
APA	Lu, Dongyuan,Li, Qiudan,&Liao, Stephen Shaoyi.(2012).A graph-based action network framework to identify prestigious members through member's prestige evolution.DECISION SUPPORT SYSTEMS,53(1),44-54.
MLA	Lu, Dongyuan,et al."A graph-based action network framework to identify prestigious members through member's prestige evolution".DECISION SUPPORT SYSTEMS 53.1(2012):44-54.