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Similarity-Based Indices or Metrics for Link Prediction

Similarity-Based Indices or Metrics for Link Prediction

Praveen Kumar Bhanodia, Kamal Kumar Sethi, Aditya Khamparia, Babita Pandey, Shaligram Prajapat
Copyright: © 2019 |Pages: 29
ISBN13: 9781522590965|ISBN10: 152259096X|EISBN13: 9781522590972
DOI: 10.4018/978-1-5225-9096-5.ch001
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MLA

Bhanodia, Praveen Kumar, et al. "Similarity-Based Indices or Metrics for Link Prediction." Hidden Link Prediction in Stochastic Social Networks, edited by Babita Pandey and Aditya Khamparia, IGI Global, 2019, pp. 1-29. https://doi.org/10.4018/978-1-5225-9096-5.ch001

APA

Bhanodia, P. K., Sethi, K. K., Khamparia, A., Pandey, B., & Prajapat, S. (2019). Similarity-Based Indices or Metrics for Link Prediction. In B. Pandey & A. Khamparia (Eds.), Hidden Link Prediction in Stochastic Social Networks (pp. 1-29). IGI Global. https://doi.org/10.4018/978-1-5225-9096-5.ch001

Chicago

Bhanodia, Praveen Kumar, et al. "Similarity-Based Indices or Metrics for Link Prediction." In Hidden Link Prediction in Stochastic Social Networks, edited by Babita Pandey and Aditya Khamparia, 1-29. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-9096-5.ch001

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Abstract

Link prediction in social network has gained momentum with the inception of machine learning. The social networks are evolving into smart dynamic networks possessing various relevant information about the user. The relationship between users can be approximated by evaluation of similarity between the users. Online social network (OSN) refers to the formulation of association (relationship/links) between users known as nodes. Evolution of OSNs such as Facebook, Twitter, Hi-Fi, LinkedIn has provided a momentum to the growth of such social networks, whereby millions of users are joining it. The online social network evolution has motivated scientists and researchers to analyze the data and information of OSN in order to recommend the future friends. Link prediction is a problem instance of such recommendation systems. Link prediction is basically a phenomenon through which potential links between nodes are identified on a network over the period of time. In this chapter, the authors describe the similarity metrics that further would be instrumental in recognition of future links between nodes.

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