Neuware -Social Networks (SNs) have attracted many users and have become an integrated a part of the individual�s daily practices. The rapid climb of SNs like Twitter and Facebook has generated great deal of knowledge that sets direction for research in social relationships. The knowledge network represented by Facebook is predicated on information transmission, sharing, and exchange. The prediction process from prior information of the event helps to know the evolution of social network and assists the companies in effective decisions making during a typical recommendation system. Social network connection prediction is an efficient technique for the analysis of the evolution of social organizations and formation of the social network relations. Link prediction is a crucial research direction within the field of complex networks and data processing. Some complex physical processes like local stochastic process also are wont to measure the similarity between network nodes and improve the accuracy of the link prediction. In other words two linked nodes during a network may have a possible relationship.Books on Demand GmbH, �berseering 33, 22297 Hamburg 60 pp. Englisch.

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T�tulo: Link Prediction in Social Network Using Artificial Neural Network
Editor: LAP LAMBERT Academic Publishing Jul 2022
Fecha de publicaci�n: 2022
Idioma: Ingl�s
ISBN 10: 6200095221
ISBN 13: 9786200095220
Encuadernaci�n: Taschenbuch
Estado: Neu
Dimensiones: 220�mil�metros de ancho por 150 de alto por 4 de largo
Peso: 107 gramos

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Sinopsis

Social Networks (SNs) have attracted many users and have become an integrated a part of the individual’s daily practices. The rapid climb of SNs like Twitter and Facebook has generated great deal of knowledge that sets direction for research in social relationships. The knowledge network represented by Facebook is predicated on information transmission, sharing, and exchange. The prediction process from prior information of the event helps to know the evolution of social network and assists the companies in effective decisions making during a typical recommendation system. Social network connection prediction is an efficient technique for the analysis of the evolution of social organizations and formation of the social network relations. Link prediction is a crucial research direction within the field of complex networks and data processing. Some complex physical processes like local stochastic process also are wont to measure the similarity between network nodes and improve the accuracy of the link prediction. In other words two linked nodes during a network may have a possible relationship.

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