Paper Info
Title
Towards building and analyzing a social network of acknowledgments in scientific and academic documents
Abstract
Acknowledgments in scientific and academic papers are a method of expressing appreciation and gratitude between scholars. Inside the acknowledgments section, authors usually thank different entities or individuals for their support, most commonly in terms of grants, suggestions and discussions. Social networks of authors and publications has been well studied, with an exhaustive study of nearly all network properties. However, to the best of our knowledge the social graph of acknowledgments have never been investigated. In this paper we propose building an acknowledgments graph, and study the relationships between the entities of this graph. We first describe how to extract the acknowledgments section. We then extract the entities inside the acknowledgment section, classifying them into persons or organizations. After that we take a subset of the nodes and build a directed graph between the authors of these papers and the entities being acknowledged and study the characteristics of the resulting social network.
Year
DOI
Venue
2012
10.1007/978-3-642-29047-3_43
SBP
Keywords
Field
DocType
acknowledgments graph,social network,acknowledgments section,network property,acknowledgment section,social graph,academic document,academic paper,exhaustive study,towards building,different entity,social network analysis
Data science,Data mining,Graph,World Wide Web,Social graph,Social network,Computer science,Social network analysis,Directed graph,Gratitude
Conference
Citations 
PageRank 
References 
5
0.53
8
Authors
3
Name
Order
Citations
PageRank
Madian Khabsa123718.81
Sharon Koppman261.22
C. Lee Giles3111541549.48