TY - GEN
T1 - Finding rising stars in heterogeneous social networks
AU - Wijegunawardana, Pivithuru
AU - Mehrotra, Kishan
AU - Mohan, Chilukuri
N1 - Publisher Copyright:
© 2016 IEEE.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/1/11
Y1 - 2017/1/11
N2 - A rising star is an individual who shows the potential to become a star in the near future. We investigate the problem of finding rising stars when heterogeneous data sources are available to define the same person. The proposed solution examines multiple data sources to determine how the importance of an individual improves over time. Scores from different data sources are combined using a multi-objective optimization approach, as well as a rank aggregation approach. Compared with existing methods, our approach identifies rising stars with higher h-index, number of papers and citation count in the academic domain. Further, we show that the new approach can also be applied to other data sources such as the Information Security Stack Exchange question answer forum.
AB - A rising star is an individual who shows the potential to become a star in the near future. We investigate the problem of finding rising stars when heterogeneous data sources are available to define the same person. The proposed solution examines multiple data sources to determine how the importance of an individual improves over time. Scores from different data sources are combined using a multi-objective optimization approach, as well as a rank aggregation approach. Compared with existing methods, our approach identifies rising stars with higher h-index, number of papers and citation count in the academic domain. Further, we show that the new approach can also be applied to other data sources such as the Information Security Stack Exchange question answer forum.
UR - http://www.scopus.com/inward/record.url?scp=85013639083&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85013639083&partnerID=8YFLogxK
U2 - 10.1109/ICTAI.2016.96
DO - 10.1109/ICTAI.2016.96
M3 - Conference contribution
AN - SCOPUS:85013639083
T3 - Proceedings - 2016 IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016
SP - 614
EP - 618
BT - Proceedings - 2016 IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016
A2 - Esposito, Anna
A2 - Alamaniotis, Miltos
A2 - Mali, Amol
A2 - Bourbakis, Nikolaos
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2016
Y2 - 6 November 2016 through 8 November 2016
ER -