Abstract
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.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - 2016 IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 614-618 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781509044597 |
| DOIs | |
| State | Published - Jan 11 2017 |
| Event | 28th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2016 - San Jose, United States Duration: Nov 6 2016 → Nov 8 2016 |
Other
| Other | 28th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2016 |
|---|---|
| Country | United States |
| City | San Jose |
| Period | 11/6/16 → 11/8/16 |
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ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
Cite this
Finding rising stars in heterogeneous social networks. / Wijegunawardana, Pivithuru; Mehrotra, Kishan; Mohan, Chilukuri K.
Proceedings - 2016 IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 614-618 7814659.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Finding rising stars in heterogeneous social networks
AU - Wijegunawardana, Pivithuru
AU - Mehrotra, Kishan
AU - Mohan, Chilukuri K
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
SP - 614
EP - 618
BT - Proceedings - 2016 IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016
PB - Institute of Electrical and Electronics Engineers Inc.
ER -