Proximity Measures For Link Prediction In Dynamic Network

Now a day’s growth of social network is gaining more attention from the user in different age group, profession, culture and geographical area in the world. This increasing use of social network attracted industries and academician to study the evolvement of people over time. The social network like Facebook, Twitter, Instagram and Flicker have more complex ties between the people and requires more efficient algorithm to recommend friends to their users in the network. Friend recommendation is one of the applications of link prediction. Link prediction is about forming future links in the social network. In this paper, we discussed various link prediction measures in context to the structural information and other high-level measures.