Reciprocal and heterogeneous link prediction in social networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7301 LNAI, Issue PART 2, 2012, Pages 193-204

  Cai, Xiongcai ^a   Bain, Michael ^a   Krzywicki, Alfred ^a   Wobcke, Wayne ^a   Kim, Yang Sok ^a   Compton, Paul ^a   Mahidadia, Ashesh ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Data Mining; Information Retrieval; Machine Learning; Recommender Systems

Indexed keywords

ACCURATE PREDICTION; COLLABORATIVE INFORMATION; DATA SETS; HETEROGENEOUS LINKS; KEY TECHNIQUES; LINK PREDICTION; ONLINE DATING; SOCIAL NETWORKS;

DATA MINING; INFORMATION RETRIEVAL; LEARNING SYSTEMS; RECOMMENDER SYSTEMS; SOCIAL NETWORKING (ONLINE);

FORECASTING;

EID: 84861425595     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-30220-6_17     Document Type: Conference Paper

References (14)

1. Acar, E., Dunlavy, D.M., Kolda, T.G.: Link prediction on evolving data using matrix and tensor factorizations. In: Proceedings of the 9th IEEE International Conference on Data Mining Workshops, pp. 262-269 (2009)
2. Bilgic, M., Namata, G.M., Getoor, L.: Combining collective classification and link prediction. In: Proceedings of the 7th IEEE International Conference on Data Mining Workshops, pp. 381-386 (2007)
3. Brzozowski, M.J., Hogg, T., Szabo, G.: Friends and foes: ideological social networking. In: Proceeding of the 26th Annual SIGCHI Conference on Human Factors in Computing Systems, pp. 817-820 (2008)
4. Cai, X., Bain, M., Krzywicki, A., Wobcke, W., Kim, Y.S., Compton, P., Mahidadia, A.: Collaborative Filtering for People to People Recommendation in Social Networks. In: Li, J. (ed.) AI 2010. LNCS, vol. 6464, pp. 476-485. Springer, Heidelberg (2010)
5. Cai, X., Bain, M., Krzywicki, A., Wobcke, W., Kim, Y.S., Compton, P., Mahidadia, A.: Learning collaborative filtering and its application to people to people recommendation in social networks. In: Proceedings of the 10th IEEE International Conference on Data Mining, pp. 743-748 (2010)
6. Cao, B., Liu, N.N., Yang, Q.: Transfer learning for collective link prediction in multiple heterogenous domains. In: Proceedings of the 27th International Conference on Machine Learning, pp. 159-166 (2010)
7. Chao, W., Satuluri, V., Parthasarathy, S.: Local probabilistic models for link prediction. In: Proceedings of the 7th IEEE International Conference on Data Mining, pp. 322-331 (2007)
8. Hasan, M.A., Chaoji, V., Salem, S., Zaki, M.: Link prediction using supervised learning. In: Workshop on Link Analysis, Counter-terrorism and Security (at SIAM Data Mining Conference) (2006)
9. Krzywicki, A., Wobcke, W., Cai, X., Mahidadia, A., Bain, M., Compton, P., Kim, Y.S.: Interaction-Based Collaborative Filtering Methods for Recommendation in Online Dating. In: Chen, L., Triantafillou, P., Suel, T. (eds.) WISE 2010. LNCS, vol. 6488, pp. 342-356. Springer, Heidelberg (2010)
10. Kunegis, J., Lommatzsch, A., Bauckhage, C.: The slashdot zoo: mining a social network with negative edges. In: Proceedings of the 18th International Conference on World Wide Web, pp. 741-750 (2009)
11. Lampe, C.A., Johnston, E., Resnick, P.: Follow the reader: filtering comments on slashdot. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1253-1262 (2007)
12. Leskovec, J., Huttenlocher, D., Kleinberg, J.: Predicting positive and negative links in online social networks. In: Proceedings of the 19th International Conference on World Wide Web, pp. 641-650 (2010)
13. Liben-Nowell, D., Kleinberg, J.: The link prediction problem for social networks. In: Proceedings of the 12th International Conference on Information and Knowledge Management, pp. 556-559 (2003)
14. Lu, Z., Savas, B., Tang, W., Dhillon, I.S.: Supervised link prediction using multiple sources. In: Proceedings of the 10th IEEE International Conference on Data Mining, pp. 923-928 (2010)