Centrality-Based Paper Citation Recommender System

Abstract

Researchers cite papers in order to connect the new research ideas with previous research. For the purpose of finding suitable papers to cite, researchers spend a considerable amount of time and effort. To help researchers in finding relevant/important papers, we evaluated textual and topological similarity measures for citation recommendations. This work analyzes textual and topological similarity measures (i.e., Jaccard and Cosine) to evaluate which one performs well in finding similar papers? To find the importance of papers, we compute centrality measures (i.e., Betweeness, Closeness, Degree and PageRank). After evaluation, it is found that topological-based similarity via Cosine achieved 85.2% and using Jaccard obtained 61.9% whereas textualbased similarity via Cosine on abstract obtained 68.9% and using Cosine on title achieved 37.4% citation links. Likewise, textual-based similarity via Jaccard on abstract obtained 35.4% and using Jaccard on title achieved 28.3% citation links.

Authors and Affiliations

Abdul Samad, Muhammad Arshad Islam, Muhammad Azhar Iqbal, Muhammad Aleem

Keywords

Related Articles

Tele-Monitoring the Battery of an Electric Vehicle

Nowadays, transportation is one of the main air pollution sources and has a significant impact on human health and environmental quality. The electric vehicle is a zero emission vehicle powered by an electric motor with...

Split and Merge Strategies for Solving Uncertain Equations Using Affine Arithmetic

The behaviour of systems is determined by various parameters. Due to several reasons like e. g. manufacturing tolerances these parameters can have some uncertainties. Corner Case and Monte Carlo simulations are well know...

SMC-I with Approach Angle Method for Slip Suppression of Electric Vehicles

This study presents SMC-I (sliding mode control with integral action) with approach angle method applied to slip suppression problem of electric vehicles (EVs). In SMC, chattering phenomenon always occurs through high fr...

Towards an augmented reality guiding system for assisted indoor remote vehicle navigation

Scientific facilities usually require the use of vehicles controlled remotely by an operator relying on the information provided by a camera. However, the operator lacks of depth perception, which makes difficult the nav...

Phase and Time Synchronization for 5G C-RAN: Requirements, Design Challenges and Recent Advances in Standardization

Cloud-RAN is one of the key enablers for 5G. In this paper we present the importance of network synchronization for the fronthaul architectures. The term network synchronization refers to the distribution of time and fre...

Download PDF file
  • EP ID EP46103
  • DOI http://dx.doi.org/10.4108/eai.13-6-2019.159121
  • Views 328
  • Downloads 0

How To Cite

Abdul Samad, Muhammad Arshad Islam, Muhammad Azhar Iqbal, Muhammad Aleem (2019). Centrality-Based Paper Citation Recommender System. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 6(19), -. https://europub.co.uk/articles/-A-46103