An Investigative Analysis on Finding Patterns in Co-Author and Co-Institution Networks for LIDAR Research

Imran Ashraf, Soojung Hur, and Yongwan Park

Department of Information and Communication Engineering, Yeungnam University, South Korea

Abstract: Social Network Analysis (SNA) has proven itself to embody the complex relationships between actors of groups inside out. Not only that, but it has also emerged as a new paradigm to investigate the structure of ties and its role on relationships between the actors. This research aims to investigate the patterns of relationships between authors and institutions working in LIght Detection And Ranging (LIDAR) research area. LIDAR has been in the limelight during recent years, especially autonomous vehicles for map-making and objection detection tasks. Researchers need insight into the current contributors and research areas to devise policies and set future targets for this important technology. Current study performs SNA to identify potential institutions and researchers that can help to achieve those goals. National and international co-authorship is analysed separately. A total of 4274 papers from Web of Science (WOS) database are collected from 1998 to September 2017. SNA measures of degree, closeness, betweenness, and eigenvector centrality along with descriptive analysis are employed to study the patterns. Analysis reveals that the United States of America (USA) is the most central and significant country in terms of international co-authorship. China, Germany, the United Kingdom (UK) and Canada are ranked 2^nd, 3^rd, 4^th and 5^th in this list respectively. For co-institution network, National Aeronautics and Space Administration (NASA), University of Idaho and California Institute of Technology USA occupy 1^st, 2^nd, and 5^th position respectively when top 5 institutions are considered. Consiglio NazionaleDelle Ricerche of Italy occupies 3^rd position while Chinese Academy of Science, China, secures 4^th place concerning betweenness centrality. Descriptive analysis reveals that during the last decade, co-author collaboration in scientific research has been elevated. Results show that research articles with 6 or more authors have higher citations than those with two to five authors. In addition, journals producing a higher number of papers and their corresponding citations are also discussed.

Keywords: Social network analysis, co-institution, co-authorship, LIDAR, degree, closeness, Eigenvector.

Received January 1, 2019; accepted April 8, 2020