Inhaltsangabe
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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Über die Autorin bzw. den Autor
Sneha Soni, trabalhando como professora assistente no departamento de CSE no Sagar Institute of Research and Technology Excellence (SIRTE) Bhopal. Ela tem mais de 17 anos de experiência de ensino. A sua área de especialização é Aprendizagem de Máquina, Criptografia, Marketing Digital.
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Link Prediction in Social Network Using Artificial Neural Network
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LAP LAMBERT Academic Publishing Jul 2022, 2022
ISBN 10: 6200095221
ISBN 13: 9786200095220
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 60 pp. Englisch. Bestandsnummer des Verkäufers 9786200095220
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Link Prediction in Social Network Using Artificial Neural Network
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 relat. Bestandsnummer des Verkäufers 693919631
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Link Prediction in Social Network Using Artificial Neural Network
Verlag:
LAP LAMBERT Academic Publishing Jul 2022, 2022
ISBN 10: 6200095221
ISBN 13: 9786200095220
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Taschenbuch. Zustand: Neu. 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, Überseering 33, 22297 Hamburg 60 pp. Englisch. Bestandsnummer des Verkäufers 9786200095220
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Link Prediction in Social Network Using Artificial Neural Network
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ISBN 13: 9786200095220
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9786200095220
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Link Prediction in Social Network Using Artificial Neural Network
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ISBN 10: 6200095221
ISBN 13: 9786200095220
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Taschenbuch. Zustand: Neu. Link Prediction in Social Network Using Artificial Neural Network | Sneha Soni (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786200095220 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 123581987
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