Link prediction in citation networks

Journal of the American Society for Information Science and Technology

Volumn 63, Issue 1, 2012, Pages 78-85

  Shibata, Naoki ^a   Kajikawa, Yuya ^a   Sakata, Ichiro ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BETWEENNESS CENTRALITY; BUILDING MODEL; CITATION NETWORKS; COSINE SIMILARITY; JACCARD COEFFICIENTS; LARGE-SCALE DATASETS; LINK PREDICTION; MACHINE-LEARNING; MULTIPLE ISSUE; RESEARCH AREAS; RESEARCH FIELDS; TERM FREQUENCY-INVERSE DOCUMENT FREQUENCIES;

FORECASTING; TEXT PROCESSING;

RESEARCH;

EID: 83655167221     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.21664     Document Type: Article

References (37)

1. Barabási, A., Jeong, H., Ne'da, Z., Ravasz, E., Schubert, A., &, Vicsek, T., (2002). Evolution of the social network of scientific collaboration. Physica A, 311, 3-4.
2. Börner, K., Chen, C.M., &, Boyack, K.W., (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179-255.
3. Boyack, K.W., Klavans, R., &, Börner, K., (2005). Mapping the backbone of science. Scientometrics, 64 (3), 351-374.
4. Boyack, K.W., Wylie, B.N., &, Davidson, G.S., (2002). Domain visualization using VxInsight for science and technology management. Journal of the American Society for Information Science and Technology, 53, 764-774.
5. Caragea, D., Bahirwani, V., Aljandal, W., &, Hsu, W.H., (2009). Ontology-based link prediction in the LiveJournal Social Network. Proceedings of the Eighth Symposium on Abstraction, Reformulation, and Approximation (SARA2009).
6. Chen, C., (1999). Visualizing semantic spaces and author co-citation networks in digital libraries. Information Processing and Management, 35 (2), 401-420.
7. Chen, C., Cribbin, T., Macredie, R., &, Morar, S., (2002). Visualizing and tracking the growth of competing paradigms: two case studies. Journal of the American Society for Information Science and Technology, 53, 678-689.
8. Clauset, A., Moore, C., &, Newman, M.E.J., (2008). Hierarchical structure and the prediction of missing links in networks. Nature, 453, 98-101.
9. Davidson, G.S., Hendrickson, B., Johnson, D.K., Meyers, C.E., &, Wylie, B.N., (1998). Knowledge mining with VxInsight: Discovery through interaction. Journal of Intelligent Information Systems, 11, 259-285.
10. de Solla Price, D.J., (1965). Networks of scientific papers. Science, 149, 510-515.
11. Freeman, L.C., (1977). A set of measures of centrality based on betweenness. Sociometry, 40, 35-41.
12. Hashimoto, M., Kajikawa, Y., Sakata, I., Takeda, Y., &, Matsushima, K., (in press). Academic landscape of innovation research and National Innovation System policy reformation in Japan and the United States. International Journal of Innovation and Technology Management.
13. Hasan, M.A., Chaoji, V., Salem, S., &, Zaki, M., (2006). Link prediction using supervised learning. SIAM 2006 Workshop on Link Analysis, Counterterrorism and Security, Bethesda, MD.
14. Hwang, S.Y., Wylie, B.N., Wei, C.P., &, Liao, Y.F., (2010). Coauthorship networks and academic literature recommendation. Electronic Commerce Research and Applications, 9, 323-334.
15. Kajikawa, Y., Abe, K., &, Noda, S., (2006). Filling the gap between researchers studying different materials and different methods: A proposal for structured keywords. Journal of Information Science, 32, 511-524.
16. Kajikawa, Y., &, Takeda, Y., (2009). Citation network analysis of organic LEDs. Technological Forecasting and Social Change, 76, 1115-1123.
17. Kajikawa, Y., Yoshikawa, J., Takeda, Y., &, Matsushima, K., (2008). Tracking emerging technologies in energy research: Toward a roadmap for sustainable energy. Technological Forecasting and Social Change, 75, 771-782.
18. Klavans, R., &, Boyack, K.W., (2009). Toward a consensus map of science. Journal of the American Society for Information Science and Technology, 60 (3), 455-476.
19. Liben-Nowell, D., &, Kleinberg, J., (2003). The link prediction problem for social networks. In Proceedings of the 12th International Conference on Information and Knowledge Management (CIKM) (pp. 556-559). New York: ACM Press.
20. Lü, L., Jin, C.H., &, Zhou, T., (2009). Similarity index based on local paths for link prediction of complex networks. Physical Review E, 80, 046122.
21. MacRoberts, M.H., &, MacRoberts, B.F., (1989). Problems of citation analysis: A critical review. Journal of the American Society for Information Science, 40 (5), 342-349.
22. Murata, T., &, Moriyasu, S., (2008). Link Prediction based on Structural Properties of Online Social Networks. New Generation Computing, 26 (3), 245-257.
23. Newman, M.E.J., (2001). Clustering and preferential attachment in growing networks. Physical Review E, 64, 025102.
24. Newman, M.E.J., (2003). The structure and function of complex networks. SIAM Review, 45, 167-256.
25. Newman, M.E.J., (2004). Fast algorithm for detecting community structure in networks. Physical Review E, 69, 066133.
26. Popescul, A., &, Ungar, L.H., (2003). Statistical relational learning for link prediction. Proceedings of the Workshop on Learning Statistical Models from Relational Data at IJCAI-2003.
27. Seglen, P.O., (1994). Casual Relationship between article citedness and journal impact. Journal of the American Society for Information Science and Technology, 45 (1), 1-11.
28. Shibata, N., Kajikawa, K., &, Matsushima, K., (2007). Topological analysis of citation networks to discover the future core papers. Journal of the American Society for Information Science and Technology, 58 (6), 872-882.
29. Shibata, N., Kajikawa, Y., &, Sakata, I., (2010). Assessing the gap between science and technology: Case study of secondary batteries. Nihon Chizai Gakkaishi, 6, 5-12.
30. Shibata, N., Kajikawa, Y., &, Sakata, I., (in press). Detecting potential technological fronts by comparing scientific papers and patents. Foresight.
31. Shibata, N., Kajikawa, Y., Takeda, Y., &, Matsushima, K., (2008). Detecting emerging research fronts based on topological measures in citation networks of scientific publications. Technovation, 28 (11), 758-775.
32. Small, H., (1999). Visualizing science by citation mapping. Journal of the American Society for Information Science and Technology, 50 (9), 799-813.
33. Small, H., (2003). Paradigms, citations, and maps of science: A personal history. Journal of the American Society for Information Science, 54 (5), 394-399.
34. Takeda, Y., Mae, S., Kajikawa, Y., &, Matsushima, K., (2009). Nanobiotechnology as an emerging research domain from nanotechnology: A bibliometric approach. Scientometrics, 80, 23-38.
35. Vapnik, V.N., (2000). The nature of statistical learning theory. New York: Springer.
36. Vinkler, P., &, Davidson, G.S., (2002). Dynamic changes in the chance for citedness. Scientometrics, 54 (3), 421-434.
37. Watts, D.J., &, Strogatz, S.H., (1998). Collective dynamics of "small-world" networks. Nature, 393, 440-442.