Articles liés à Stochastic Social Networks: Measures and Algorithms

Stochastic Social Networks: Measures and Algorithms - Couverture souple

Rezvanian, Alireza; Meybodi, Mohammad Reza

 
9783330022140: Stochastic Social Networks: Measures and Algorithms
Couverture souple
ISBN 10 : 3330022140 ISBN 13 : 9783330022140
Editeur : LAP LAMBERT Academic Publishing, 2016

Synopsis

Recently, stochastic graph in which weights associated with edges are random variables is suggested as a better candidate as a graph model for real-world network applications with time-varying nature for social network analysis. By choosing stochastic graph as a graph model of a social network, it is called stochastic social network. In this book, we first introduce several re-definitions of network measures for stochastic social networks and then we introduce some intelligent algorithms for computation of network measures for social network analysis under the situation that the weights associated with the edges of the network are random variables with unknown probability distribution functions. Intelligent algorithms can guide the process of sampling the edges of the network in order to provide good estimates for the probability distribution functions of the edges of the network.

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

Présentation de l'éditeur

Recently, stochastic graph in which weights associated with edges are random variables is suggested as a better candidate as a graph model for real-world network applications with time-varying nature for social network analysis. By choosing stochastic graph as a graph model of a social network, it is called stochastic social network. In this book, we first introduce several re-definitions of network measures for stochastic social networks and then we introduce some intelligent algorithms for computation of network measures for social network analysis under the situation that the weights associated with the edges of the network are random variables with unknown probability distribution functions. Intelligent algorithms can guide the process of sampling the edges of the network in order to provide good estimates for the probability distribution functions of the edges of the network.

Biographie de l'auteur

Alireza Rezvanian was born in Hamedan, Iran, in 1984. He received the B.Sc. degree from Bu-Ali Sina University of Hamedan, Iran, in 2007, the M.Sc. degree from Islamic Azad University of Qazvin, Iran, in 2010, and the Ph.D. degree in Computer Engineering from Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran, in 2016.

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
2016
Langue
anglais
ISBN 10 
3330022140
ISBN 13 
9783330022140
Reliure
Broché
Nombre de pages
92
Coordonnées du fabricant
non disponible
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