TY - GEN
T1 - Prominence in networks
T2 - 2013 IEEE 2nd International Network Science Workshop, NSW 2013
AU - Yang, Yang
AU - Chawla, Nitesh V.
AU - Lu, Xiaohui
AU - Adali, Sibel
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - We investigate how people and objects that they create (artifacts) gain prominence in collaborative networks. As an example, consider academic research communities where people and their artifacts (research papers) both have prominence. But, these prominence values are linked to each other and evolve together. In particular, for an author to make an impact on the scientific community, she has to interact with diverse sets of individuals. The results of this is that her research will be known by a large number of communities. However, the research communities and topics have to be aligned along her research interests as well. Peer reviewers have to know and understand the research field and the results must be disseminated to the larger community through sustained interest in the given research field. Hence, the prominence of individuals and their artifacts evolve simultaneously. In this paper, we develop novel methods to study both types of evolution processes and show their effectiveness using the DBLP dataset.
AB - We investigate how people and objects that they create (artifacts) gain prominence in collaborative networks. As an example, consider academic research communities where people and their artifacts (research papers) both have prominence. But, these prominence values are linked to each other and evolve together. In particular, for an author to make an impact on the scientific community, she has to interact with diverse sets of individuals. The results of this is that her research will be known by a large number of communities. However, the research communities and topics have to be aligned along her research interests as well. Peer reviewers have to know and understand the research field and the results must be disseminated to the larger community through sustained interest in the given research field. Hence, the prominence of individuals and their artifacts evolve simultaneously. In this paper, we develop novel methods to study both types of evolution processes and show their effectiveness using the DBLP dataset.
UR - http://www.scopus.com/inward/record.url?scp=84886007705&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84886007705&partnerID=8YFLogxK
U2 - 10.1109/NSW.2013.6609195
DO - 10.1109/NSW.2013.6609195
M3 - Conference contribution
AN - SCOPUS:84886007705
SN - 9781479904365
T3 - Proceedings of the 2013 IEEE 2nd International Network Science Workshop, NSW 2013
SP - 58
EP - 65
BT - Proceedings of the 2013 IEEE 2nd International Network Science Workshop, NSW 2013
Y2 - 29 April 2013 through 1 May 2013
ER -