Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/75268
Title: Identifying influential users by their postings in social networks
Authors: Sun, B 
Ng, V 
Issue Date: 2013
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2013, v. 8329 LNAI, p. 128-151 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: Much research effort has been conducted to analyze information of social networks, such as finding the influential users. Our aim is to identify the most influential users based on their interactions in posting on a given topic. We first proposes a graph model of online posts, which represents the relationships between online posts of one topic, so as to find the influential posts on the topic. Based on the influential posts found, the post graph is transformed to a user graph that can be used to discover influential users with improved influence measures. Finally the most influential users can be determined by considering the properties and measures from both graphs. In our work, two types of influences are defined based on two roles: starter and connecter. A starter is followed by many others, similar to a hub in a network; while a connecter is to help bridging two different starters and their corresponding clusters. In this paper, different measures on the graphs are introduced to calculate the influences on the two roles.
Description: 3rd International Workshops on Modeling Social Media, MSM 2012, Milwaukee, WI, 25 June 2012
URI: http://hdl.handle.net/10397/75268
ISBN: 9783642453915
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-642-45392-2_7
Appears in Collections:Conference Paper

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