Paper Info
Title
An Information Theory Approach to Identify Sets of Key Players
Abstract
This paper presents an application of information theory to identify sets of key players in social networks. First, we define two entropy measures that we use to analyze the structural properties of a social network. Then, we propose a new method aimed at finding a set of key players that solves the KPP-Neg and KPP-Pos problems. Our preliminary experimental results indicate that the entropy measures can be used effectively to identify a set of key players in a social network.
Year
DOI
Venue
2008
10.1007/978-3-540-89900-6_5
EuroISI
Keywords
Field
DocType
key players,information theory approach,entropy measure,social network,kpp-pos problem,preliminary experimental result,identify sets,new method,key player,information theory,structural property,entropy,centrality,knowledge discovery,social networks
Information theory,Social network,Computer science,Centrality,Knowledge extraction,Artificial intelligence,Machine learning
Conference
Volume
ISSN
Citations 
5376
0302-9743
10
PageRank 
References 
Authors
0.78
7
2
Name
Order
Citations
PageRank
Daniel Ortiz-Arroyo1396.36
Dil Muhammad Akbar Hussain2489.16