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Most Effective Users in Twitter Online Social Network: The E-User (Effective User) Index with centrality measurement - Couverture souple

Yazici, Murat

 
9783330060340: Most Effective Users in Twitter Online Social Network: The E-User (Effective User) Index with centrality measurement
Couverture souple
ISBN 10 : 3330060344 ISBN 13 : 9783330060340
Editeur : LAP LAMBERT Academic Publishing, 2017

Synopsis

In this book, we considered the issue of determination of the most effective user in the twitter online social network. We worked on a social network graph which have relationships (edges) between users who posted a tweet and other users who re-posted it. In other words, we assume that there is a relationship between User- X and User-Y when User-X posted a tweet and User-Y re-posted it. In Social Network Analysis (SNA), there are four fundamental centrality measures such as Degree Centrality, Closeness Centrality, Betweenness Centrality, and Eigenvector Centralities. We developed a new approach for determining the most effective user in Twitter online social network by using an index which named E-User (Effective User) Index. Through this index, we think that we are able to obtain more realistic results in SNA for Twitter. We designed a small weighted and directed social network graph by using a simulated data and used it for determining the most effective user in this study.

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

Présentation de l'éditeur

In this book, we considered the issue of determination of the most effective user in the twitter online social network. We worked on a social network graph which have relationships (edges) between users who posted a tweet and other users who re-posted it. In other words, we assume that there is a relationship between User- X and User-Y when User-X posted a tweet and User-Y re-posted it. In Social Network Analysis (SNA), there are four fundamental centrality measures such as Degree Centrality, Closeness Centrality, Betweenness Centrality, and Eigenvector Centralities. We developed a new approach for determining the most effective user in Twitter online social network by using an index which named E-User (Effective User) Index. Through this index, we think that we are able to obtain more realistic results in SNA for Twitter. We designed a small weighted and directed social network graph by using a simulated data and used it for determining the most effective user in this study.

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
2017
Langue
anglais
ISBN 10 
3330060344
ISBN 13 
9783330060340
Reliure
Broché
Nombre de pages
52
Coordonnées du fabricant
non disponible
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