Paper Info
Title
Automatic Classification and Analysis of Interdisciplinary Fields in Computer Sciences
Abstract
In the last two decades, there have been studies claiming that science is becoming ever more interdisciplinary. However, the evidence has been anecdotal or partial. Here for the first time, we investigate a large size citation network of computer science domain with the intention to develop an automated unsupervised classification model that can efficiently distinguish the core and the interdisciplinary research fields. For this purpose, we propose four indicative features, three of these are directly related to the topological structure of the citation network, while the fourth is an external indicator based on the attractiveness of a field for the in-coming researchers. The significance of each of these features in characterizing interdisciplinary is measured independently and then systematically accumulated to build an unsupervised classification model. The result of the classification model shows two distinctive clusters that clearly distinguish core and interdisciplinary fields of computer science domain. Based on this classification, we further study the evolution dynamics at a microscopic level to show how interdisciplinarity emerges through cross-fertilization of ideas between the fields that otherwise have little overlap as they are mostly studied independently. Finally, to understand the overall impact of interdisciplinary research on the entire domain, we analyze selective citation based measurements of core and interdisciplinary fields, paper submission and acceptance statistics at top-tier conferences and the core-periphery structure of citation network, and observe an increasing impact of the interdisciplinary fields along with their steady integration with the computer science core in recent times.
Year
DOI
Venue
2013
10.1109/SocialCom.2013.34
SocialCom
Keywords
Field
DocType
citation analysis,computer science,data analysis,pattern classification,statistical analysis,acceptance statistics,automated unsupervised classification model,computer science domain,core field,core-periphery structure,evolution dynamics,interdisciplinary field analysis,interdisciplinary field classification,interdisciplinary research field,large size citation network,selective citation based measurement,submission statistics,topological structure
Data science,Data mining,Computer science,Citation,Citation analysis,Citation network,Statistical analysis
Conference
Citations 
PageRank 
References 
2
0.37
0
Authors
6
Name
Order
Citations
PageRank
Tanmoy Chakraborty146676.71
Srijan Kumar232624.97
M. Dastagiri Reddy320.37
Suhansanu Kumar4233.85
Niloy Ganguly51306121.03
Animesh Mukherjee639262.78