A vector space model for automatic indexing
Communications of the ACM
Supernetworks: Decision-Making for the Information Age
Supernetworks: Decision-Making for the Information Age
Leader emergence in an Internet environment
Computers in Human Behavior
Discovering leaders from community actions
Proceedings of the 17th ACM conference on Information and knowledge management
Identification of influencers - Measuring influence in customer networks
Decision Support Systems
Detecting opinion leaders and trends in online social networks
Proceedings of the 2nd ACM workshop on Social web search and mining
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
Algorithms of BBS opinion leader mining based on sentiment analysis
WISM'10 Proceedings of the 2010 international conference on Web information systems and mining
Topic-based social network analysis for virtual communities of interests in the Dark Web
ACM SIGKDD Workshop on Intelligence and Security Informatics
Opinion Leadership and Social Contagion in New Product Diffusion
Marketing Science
Topic correlation and individual influence analysis in online forums
Expert Systems with Applications: An International Journal
PolarityRank: Finding an equilibrium between followers and contraries in a network
Information Processing and Management: an International Journal
Detecting opinion leader dynamically in chinese news comments
WAIM'11 Proceedings of the 2011 international conference on Web-Age Information Management
Propagation of trust and distrust for the detection of trolls in a social network
Computer Networks: The International Journal of Computer and Telecommunications Networking
Foundations and Trends in Information Retrieval
Detecting influencers in written online conversations
LSM '12 Proceedings of the Second Workshop on Language in Social Media
Representative reviewers for Internet social media
Expert Systems with Applications: An International Journal
Assessing the ripple effects of online opinion leaders with trust and distrust metrics
Expert Systems with Applications: An International Journal
An improved mix framework for opinion leader identification in online learning communities
Knowledge-Based Systems
| Hi-index | 12.05 |
Opinion leaders on the internet are very important figures in online communities, which play an important role in promoting the formation of public opinions. Many theories have been introduced to identify opinion leaders by social network analysis, text mining and PageRank-based algorithm in different fields, but few has addressed the issue of opinion leader identification by combining the methods above, and there is no research using supernetwork analysis to identify opinion leaders. This paper proposed an SuperedgeRank algorithm for opinion leader identification based on supernetwork theory, which combined the network topology analysis and text mining. First, the study established a supernetwork model with multidimensional subnetworks, which are social, psychological, environmental and viewpoint subnetworks. Then, the study proposed four supernetwork indexes: node superdegree, superedge degree, superedge-superedge distance and superedge overlap. The later two indexes are developed by us to help evaluate the identified opinion leaders. Based on them, our study applied SuperedgeRank algorithm to rank superedges, and used the ranking result to identify opinion leaders in opinion supernetwork model. Finally, the feasibility and innovativeness of this method were verified by a case study.