TY - GEN
T1 - Identifying influential users by their postings in social networks
AU - Sun, Beiming
AU - Ng, Vincent To Yee
PY - 2013/12/1
Y1 - 2013/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84893716079&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-45392-2_7
DO - 10.1007/978-3-642-45392-2_7
M3 - Conference article published in proceeding or book
SN - 9783642453915
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 128
EP - 151
BT - Ubiquitous Social Media Analysis - Third International Workshops MUSE 2012 and MSM 2012, Revised Selected Papers
T2 - 3rd International Workshops on Modeling Social Media, MSM 2012
Y2 - 25 June 2012 through 25 June 2012
ER -