DocumentCode :
2874905
Title :
Predicting a Social Network Structure Once a Node Is Deleted
Author :
Negre, Elsa ; Missaoui, Rokia ; Vaillancourt, Jean
Author_Institution :
Univ. du Quebec en Outaouais, Gatineau, QC, Canada
fYear :
2011
fDate :
25-27 July 2011
Firstpage :
297
Lastpage :
304
Abstract :
Social networks are dynamic structures in which entities and links appear and disappear for different reasons. Starting from the observation that each entity has a more or less important role within the network, the objective of this article is to propose a method which exploits the role played by nodes to predict the new structure of a social network once one entity disappears. The role of a node in the network is expressed in terms of the number of interactions it has with the rest of the network. Two roles are considered: the leader and the mediator with their corresponding measure: the degree centrality and the betweenness centrality.
Keywords :
social networking (online); dynamic structures; social network structure; Communities; Complexity theory; Electronic mail; Lead; Mediation; Prediction algorithms; Social network services; leader; mediator; prediction; role; social network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2011 International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-61284-758-0
Electronic_ISBN :
978-0-7695-4375-8
Type :
conf
DOI :
10.1109/ASONAM.2011.110
Filename :
5992592
Link To Document :
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