Paper Info
Title
Structure and Dynamics of Signed Citation Networks.
Abstract
Citations are important to track and understand the evolution of human knowledge. At the same time, it is widely accepted that all the citations made in a paper are not equal. However, there is no thorough understanding of how citations are created that explicitly criticize or endorse others. In this paper, we do a detailed study of such citations made within the NLP community by differentiating citations into endorsement (positive), criticism (negative) and neutral categories. We analyse this signed network created between papers and between authors for the first time from a social networks perspective. We make many observations - we find that the citations follow a heavy-tailed distribution and they are created in a way that follows weak balance theory and status theories. Moreover, we find that authors do not change their opinion towards others over time and rarely reciprocate the opinion that they receive. Overall, the paper builds the understanding of the structure and dynamics of positive, negative and neutral citations.
Year
DOI
Venue
2016
10.1145/2872518.2889391
WWW (Companion Volume)
Field
DocType
Citations 
Balance theory,Data science,Data mining,World Wide Web,Criticism,Social network,Computer science,Citation,Inequality,Bibliometrics,Human knowledge
Conference
3
PageRank 
References 
Authors
0.37
7
1
Name
Order
Citations
PageRank
Srijan Kumar132624.97