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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.
Info autore
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.
