Proximity Measures For Link Prediction In Dynamic Network

Authors

  • Shubhangi R Urkude Department of Computer Science and Engineering, Faculty of Science and Technology. The ICFAI Foundation for Higher Education (IFHE), Hyderabad – 501203, Telangana, India Author

DOI:

https://doi.org/10.61841/7d0tw378

Keywords:

Link prediction, Social network, Friend Recommendation

Abstract

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.

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Published

30.05.2020

How to Cite

Urkude, S. R. (2020). Proximity Measures For Link Prediction In Dynamic Network . International Journal of Psychosocial Rehabilitation, 24(10), 1415-1422. https://doi.org/10.61841/7d0tw378