TY - GEN
T1 - Link prediction in a bipartite network using Wikipedia revision information
AU - Chang, Yang Jui
AU - Kao, Hung-Yu
PY - 2012/12/1
Y1 - 2012/12/1
N2 - We consider the problem of link prediction in the bipartite network of Wikipedia. Bipartite stands for an important class in social networks, and many unipartite networks can be reinterpreted as bipartite networks when edges are modeled as vertices, such as co-authorship networks. While bipartite is the special case of general graphs, common link prediction function cannot predict the edge occurrence in bipartite graph without any specialization. In this paper, we formulate an undirected bipartite graph using the history revision information in Wikipedia. We adapt the topological features to the bipartite of Wikipedia, and apply a supervised learning approach to our link prediction formulation of the problem. We also compare the performance of link prediction model with different features.
AB - We consider the problem of link prediction in the bipartite network of Wikipedia. Bipartite stands for an important class in social networks, and many unipartite networks can be reinterpreted as bipartite networks when edges are modeled as vertices, such as co-authorship networks. While bipartite is the special case of general graphs, common link prediction function cannot predict the edge occurrence in bipartite graph without any specialization. In this paper, we formulate an undirected bipartite graph using the history revision information in Wikipedia. We adapt the topological features to the bipartite of Wikipedia, and apply a supervised learning approach to our link prediction formulation of the problem. We also compare the performance of link prediction model with different features.
UR - http://www.scopus.com/inward/record.url?scp=84873349121&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84873349121&partnerID=8YFLogxK
U2 - 10.1109/TAAI.2012.49
DO - 10.1109/TAAI.2012.49
M3 - Conference contribution
AN - SCOPUS:84873349121
SN - 9780769549194
T3 - Proceedings - 2012 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2012
SP - 50
EP - 55
BT - Proceedings - 2012 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2012
T2 - 2012 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2012
Y2 - 16 November 2012 through 18 November 2012
ER -