TY - GEN
T1 - A joint classification method to integrate scientific and social networks
AU - Neshati, Mahmood
AU - Asgari, Ehsaneddin
AU - Hiemstra, Djoerd
AU - Beigy, Hamid
PY - 2013
Y1 - 2013
N2 - In this paper, we address the problem of scientific-social network integration to find a matching relationship between members of these networks. Utilizing several name similarity patterns and contextual properties of these networks, we design a focused crawler to find high probable matching pairs, then the problem of name disambiguation is reduced to predict the label of each candidate pair as either true or false matching. By defining matching dependency graph, we propose a joint label prediction model to determine the label of all candidate pairs simultaneously. An extensive set of experiments have been conducted on six test collections obtained from the DBLP and the Twitter networks to show the effectiveness of the proposed joint label prediction model.
AB - In this paper, we address the problem of scientific-social network integration to find a matching relationship between members of these networks. Utilizing several name similarity patterns and contextual properties of these networks, we design a focused crawler to find high probable matching pairs, then the problem of name disambiguation is reduced to predict the label of each candidate pair as either true or false matching. By defining matching dependency graph, we propose a joint label prediction model to determine the label of all candidate pairs simultaneously. An extensive set of experiments have been conducted on six test collections obtained from the DBLP and the Twitter networks to show the effectiveness of the proposed joint label prediction model.
UR - http://www.scopus.com/inward/record.url?scp=84875433871&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-36973-5_11
DO - 10.1007/978-3-642-36973-5_11
M3 - Conference contribution
AN - SCOPUS:84875433871
SN - 9783642369728
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 122
EP - 133
BT - Advances in Information Retrieval - 35th European Conference on IR Research, ECIR 2013, Proceedings
T2 - 35th European Conference on Information Retrieval, ECIR 2013
Y2 - 24 March 2013 through 27 March 2013
ER -