TY - GEN
T1 - Towards building and analyzing a social network of acknowledgments in scientific and academic documents
AU - Khabsa, Madian
AU - Koppman, Sharon
AU - Giles, C. Lee
PY - 2012/4/3
Y1 - 2012/4/3
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84859131457&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84859131457&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-29047-3_43
DO - 10.1007/978-3-642-29047-3_43
M3 - Conference contribution
AN - SCOPUS:84859131457
SN - 9783642290466
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 357
EP - 364
BT - Social Computing, Behavioral-Cultural Modeling and Prediction, 5th International Conference, SBP 2012, Proceedings
T2 - 5th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2012
Y2 - 3 April 2012 through 5 April 2012
ER -