SFViz: Interest-based friends exploration and recommendation in social networks

ACM International Conference Proceeding Series

Volumn , Issue , 2011, Pages

  Gou, Liang ^a   You, Fang ^b   Guo, Jun ^b   Wu, Luqi ^b   Zhang, Xiaolong ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b SUN YAT SEN UNIVERSITY   (China)

Author keywords

SFViz; social network; social recommendation; social tags

Indexed keywords

HIERARCHICAL STRUCTURES; INTERACTIVE WAY; LAST.FM; MULTISCALES; SEMANTIC STRUCTURES; SFVIZ; SIMILAR INTERESTS; SOCIAL CONNECTION; SOCIAL NETWORK SERVICES; SOCIAL NETWORKS; SOCIAL RECOMMENDATION; SOCIAL TAGS; TOPOLOGICAL STRUCTURE; VISUAL EXPLORATION; VISUAL SYSTEMS;

BEHAVIORAL RESEARCH; SEMANTICS; TOPOLOGY; USER INTERFACES; VISUAL COMMUNICATION; VISUALIZATION;

SOCIAL NETWORKING (ONLINE);

EID: 80052290638     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2016656.2016671     Document Type: Conference Paper

References (51)

1. Gou, L., Zhang, S. K., Wang, J. & Zhang, X. L. (2010). TagNetLens: Visualizing knowledge structures with social tags. In Proc. of ACM VINCI'10, 18: 1-9.
2. Marsh, D.R., Schroeder, D.G., Dearden, K.A., Sternin, J. & Sternin, M.(2004). The power of positive deviance. British Medical Journal, 329, pp. 1177-1179. (Pubitemid 39529772)
3. Israel, B.A. (1982). Social networks and health status: Linking theory, research and practice. Patient Counseling and Health Education, 4(2), pp. 65-77.
4. Davis, H, Vetere, F, Ashkanasy, et al. (2008) Towards Social Connection for Young People With Cancer. OzCHI, Queensland.
5. Goswami, S., Köbler, F., Leimeister, J. M. & Krcmar, H. (2010). Using online social networking to enhance social connectedness and social support for the elderly. In Proc. of ICIS'10, pp. 109-120.
6. Lampe, C., Ellison, N. & Steinfield, C. (2007). A familiar Face(book): Profile elements as signals in an online social network. In Proc. of CHI'07, pp. 435-444.
7. Krulwich, B. (1997). Lifestyle finder: intelligent user profiling using large-scale demographic data. Artificial Intelligence Magazine, 18(2), pp. 37-45.
8. Mooney, R. J. & Roy, L. (2000). Content-based book recommending using learning for text categorization. In Proc. of DL'00, pp. 195-204.
9. Salton, G. & McGill, M. (1983). Introduction to Modern Information Retrieval. McGraw Hill, New York, USA.
10. Pazzani, M. & Billsus, D. (1997). Learning and revising user profiles: the identification of interesting web sites. Machine Learning, 27(3), pp. 313-331.
11. Hill, W., Stead, L., Rosenstein, M. & Furnas, G.W. (1995). Recommending and Evaluating Choices in a Virtual Community of Use. In Proc. of CHI'95, pp. 194-201.
12. Dahlen, B.J., Konstan, J.A., Herlocker, J.L., Good, N., Borchers, A. & Reidl,J.(1998). Jump-starting movielens: User benefits of starting a collaborative filtering system with "dead data". University of Minnesota TR, pp. 98-017.
13. Sarwar, B., Karypis, G., Konstan, J. & Reidl,J. (2001). Item-based collaborative filtering recommendation algorithms. In Proc. of WWW'01, pp. 285-295.
14. Linden, G., B. Smith & York, J. (2003). Amazon. com Recommendations: Item-to-Item Collaborative Filtering. IEEE Internet Computing, 7(1), pp. 76-80.
15. Breese, J. S., Heckerman, D. & Kadie, C.(1998). Empirical analysis of predictive algorithms for collaborative filtering. In Proc. of CUAI'98, pp. 43-52.
16. Condli, M. K., Lewis, D. D., Madigan, D. & Posse, C. (1999). Bayesian mixed-effect models for recommender systems. In ACM SIGIR '99 Workshop on Recommender Systems: Algorithms and Evaluation.
17. Hofmann, T. (2004). Latent semantic models for collaborative filtering. ACM Transactions on Information Systems, 22(1), pp. 89-115.
18. Schein, A. I., Popescul, A., Ungar, L. H. & Pennock, D. M. (2002). Methods and Metrics for Cold-Start Recommendations. In Proc. of SIGIR '02, pp. 253-260.
19. Balabanovic, M. & Shoham, Y. (1997). Fab: Content-Based, Collaborative Recommendation. Comm. ACM, 40(3), pp. 66-72. (Pubitemid 127441133)
20. Pazzani, M. (1999). A Framework for Collaborative, Content-Based, and Demographic Filtering. Artificial Intelligence Rev., pp. 393-408.
21. Melville, P., Mooney, R. J., & Nagarajan, R. (2002). Content-oosted collaborative filtering for improved recommendations. In Proc. of AAAI'02, pp. 187-192.
22. Tan, P., Steinbach, M., Kumar, V., et al (2006). Introduction to data mining. Pearson Addison Wesley Boston.
23. Adamic, L. & Adar, E.(2003). Friends and neighbors on the web. Social Networks, 25(3), pp211-230. (Pubitemid 36831776)
24. Barabasi, A. & Albert, R.(1999). Emergence of scaling in random networks. Science, 286(5439):509.
25. Newman, M. (2001). Clustering and preferential attachment in growing networks. Physical Review E, 64(2):25102.
26. Zhou, T., Lu, L. & Zhang, Y.-C. (2009). Predicting missing links via local information. European Physical Journal B, 71(4), pp. 623-630.
27. Katz, L.(1953). A new status index derived from sociometric analysis. Psychometrika, 18(1), pp. 39-43.
28. Jeh, G. & Widom, J. (2002). SimRank: A measure of structural-context similarity. In Proc. of SIGKDD'02, pp. 538-543.
29. Leicht, E., Holme, P., & Newman, M. (2006). Vertex similarity in networks. Physical Review E, 73(2):26120.
30. Zhao, P., Han, J. & Sun, Y. (2009). P-Rank: a comprehensive structural similarity measure over information networks. In Proc. of CIKM'09, pp. 553-562.
31. Gou, L., Chen, H., Kim, J., Zhang, X. L. & Giles, C. L. (2010). Social Network Document Ranking. In Proc. of JCDL'10, pp. 313-322.
32. Gou, L., Chen, H., Kim, J., Zhang, X. L. & Giles, C. L. (2010). SNDocRank: a Social Network-Based Video Search Ranking Framework. In Proc. of ACM MIR'10, pp. 367-376.
33. Li, C., Han, J., He, G., Jin, X., Sun, Y., Yu, Y. & Wu, T. (2010). Fast computation of simrank for static and dynamic information networks. In Proc. of EDBT'10, pp. 465-476.
34. Tonkin, E., Corrado, E. M., Moulaison, H. L., Kipp, M. E. I., Resmini, A., Pfeiffer, H. D. & Zhang, Q. (2008). Collaborative and Social Tagging Networks. Ariadne, (54).
35. Kammerer, Y., Nairn, R., Pirolli, P., & Chi, E. H. (2009). Signpost from the masses: learning effects in an exploratory social tag search browser. In Proc. of CHI '09, pp. 625-634.
36. O'Donovan, J., Smyth, B., Gretarsson, B., Bostandjiev, S. & Höllerer, T. (2008). PeerChooser: visual interactive recommendation. In Proc. of CHI '08, pp 1085-1088.
37. Gretarsson, V. B., O'Donovan, J., Bostandjiev, S., Hall, C. & Höllerer, T. (2010). SmallWorlds: visualizing social recommendations. In Proc. of EuroVis'10, pp. 833-842.
38. Card, S. K., Mackinlay, J. D., & Shneiderman, B. (1999). Readings in Information Visualization: Using Vision to Think. pp. 17: Morgan Kaufmann.
39. Halpin, H., Robu, V. & Shepherd, H. (2007). The complex dynamics of collaborative tagging. In Proc. of WWW'07, pp. 211-220.
40. Wasserman, S. & K. Faust. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press.
41. Girvan, M. & Newman, M. E. J. (2002). Community structure in social and biological networks. National Academy of Sciences, 99(12), pp. 7821-7831.
42. McPherson, M., L. Smith-Lovin, et al. Birds of a Feather: Homophily in Social Networks. Annual Review of Sociology 27(415): 444, 2001.
43. Stasko, J. & Zhang, E. (2000). Focus+Context Display and Navigation Techniques for Enhancing Radial, Space-Filling Hierarchy Visualizations. In Proceedings of the IEEE Symposium on Information Visualization 2000 (InfoVis '00), pp. 57-65.
44. Yang, J., Ward, M. O. & Rundensteiner. E. A. (2002). InterRing: An Interactive Tool for Visually Navigating and Manipulating Hierarchical Structures. In Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02), pp. 77-85.
45. Danny, H. (2006). Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data. IEEE Transactions on Visualization and Computer Graphics, 12, pp. 741-748.
46. Lucene. http://lucene.apache.org/java/docs/index.html
47. Heer, J., Card, S. K., & Landay, J. A. (2005). Prefuse: A Toolkit for Interactive Information Visualization. Proc. of CHI'05.
48. G. W. Furnas. (1986). Generalized fisheye views. In Proc. of CHI '86, pp. 16-23.
49. Collins, C., Carpendale, S., & Penn, G (2009). DocuBurst: Visualizing Document Content using Language Structure. In Proceedings of Eurographics/IEEE-VGTC Symposium on Visualization (EuroVis '09), 28(3), pp. 1039-1046.
50. Last.fm. http://www.lastfm.com
51. Konstas., I., Stathopoulos, V.& Jose, J. M. (2009). On social networks and collaborative recommendation. In Proc. of SIGIR '09, pp. 195-202.