Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Proceedings of the 1st international conference on Knowledge capture
Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Identifying the influential bloggers in a community
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Node roles and community structure in networks
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Influence and correlation in social networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Identification of influential social networkers
International Journal of Web Based Communities
Supporting information spread in a social internetworking scenario
NFMCP'12 Proceedings of the First international conference on New Frontiers in Mining Complex Patterns
Mining influential bloggers: From general to domain specific, from explicit to implicit
International Journal of Knowledge-based and Intelligent Engineering Systems
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With rapid development of web 2.0 technology and e-business, bloggers play significant roles in the whole blogosphere as well as the external world. Specially, the most influential bloggers can bring great business values to modern enterprise in multiple ways, by increasing market profits and enlarging business impacts. The bloggers' influences can be deployed only in a specific domain, e.g. computer companies only can utilize the influence bloggers' expertise in computer knowledge, not their expertise in modern art or others. Despite that several influential bloggers mining systems are available, none of them consider the domain specific feature and their evaluations are based on generic influence, which is not applicable for real application requirements, such as business advertisement, personalized recommendation and so on. In this paper, we propose an effective model to mine the top-k influential bloggers according to their interest domains and network proximity. We investigate an effective algorithm to evaluate a blogger's influence and develop a domain specific influential blogger mining system. The experiment results show that our system can effectively mine influential bloggers and is applicable to diverse applications.