Articles liés à Key Users in Social Network: How to find them?

Key Users in Social Network: How to find them? - Couverture souple

Bródka, Piotr

 
9783659195976: Key Users in Social Network: How to find them?
Couverture souple
ISBN 10 : 3659195979 ISBN 13 : 9783659195976
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

The number of systems that collect a large number of data about users grow rapidly during last few years. Many of these systems contain data not only about people characteristics but also about their relationships with other system users. From this kind of data it is possible to extract a social network that reflects the connections between system’s users. The knowledge obtained about these users enables to investigate and predict changes within the network. So this knowledge is very important for the people or companies who make a profit from the network, e.g. telecommunication company. The second important thing is the ability to extract these users as quick as possible, i.e. developed the algorithm that will be time-effective in large social networks where number of nodes and edges equal few millions. In this book the method of key user extraction, called social position, was analysed. Moreover, social position measure was compared with other methods, which are used to assess the centrality of a node. Furthermore, three algorithms used to social position calculation was introduced along with results of comparison between their processing time and other centrality measures.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

The number of systems that collect a large number of data about users grow rapidly during last few years. Many of these systems contain data not only about people characteristics but also about their relationships with other system users. From this kind of data it is possible to extract a social network that reflects the connections between system’s users. The knowledge obtained about these users enables to investigate and predict changes within the network. So this knowledge is very important for the people or companies who make a profit from the network, e.g. telecommunication company. The second important thing is the ability to extract these users as quick as possible, i.e. developed the algorithm that will be time-effective in large social networks where number of nodes and edges equal few millions. In this book the method of key user extraction, called social position, was analysed. Moreover, social position measure was compared with other methods, which are used to assess the centrality of a node. Furthermore, three algorithms used to social position calculation was introduced along with results of comparison between their processing time and other centrality measures.

Biographie de l'auteur

I am the finall year PhD student at the Wroclaw University of Technology. I have authored over 35 scholarly and research articles on a variety of areas related to complex social networks and social network analysis, especially extraction and dynamics of communities within complex social networks.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3659195979
ISBN 13 
9783659195976
Reliure
Broché
Nombre de pages
92
Coordonnées du fabricant
non disponible
Personne responsable
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