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Link Prediction in Citation Networks: A Survey

Publication Type : Conference Proceedings

Publisher : IEEE

Source : 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)

Url : https://ieeexplore.ieee.org/abstract/document/9917780

Campus : Amritapuri

School : School of Computing

Center : Algorithms and Computing Systems

Year : 2022

Abstract : Networks can be used to represent a variety of real world complex interacting systems in which vertices represents interacting entities and a network link represents a connection between two nodes or entities. A citation network is a network that gives the information about the citations within a collection of documents. Citation networks are widely utilized in a variety of graph mining situations like citation recommendation and locating research hotspots. Link prediction is considered as a significant task in data and graph mining and deals with prediction of the future or missing network links based on the given network knowledge. There are many link prediction techniques which can be mainly classified into supervised and unsupervised techniques. The purpose of this work is to discuss and analyze the current state of link prediction in citation networks.

Cite this Research Publication : Deepthi, L. R. "Link Prediction in Citation Networks: A Survey." 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT). IEEE, 2022

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