Structural link analysis from user profiles and friends networks: A feature construction approach

ICWSM 2007 - International Conference on Weblogs and Social Media

Volumn , Issue , 2007, Pages

  Hsu, William H ^a   Lancaster, Joseph ^a   Paradesi, Martin S R ^a   Weninger, Tim ^a  

^a 129 Seaton Hall   (United States)

Author keywords

Data mining; Link analysis; Machine learning; Social network analysis; User profiling

Indexed keywords

CAUSAL EXPLANATIONS; EDUCATIONAL INSTITUTIONS; FEATURE CONSTRUCTION; LINK ANALYSIS; MACHINE LEARNING PROBLEM; SET-VALUED ATTRIBUTES; STATISTICAL RELATIONAL LEARNING; USER PROFILING;

DATA MINING; LEARNING SYSTEMS; MODELS;

SOCIAL NETWORKING (ONLINE);

EID: 84893427334     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. I. Bhattacharya &L. Getoor. Deduplication and group detection using links. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) Workshop on Link Analysis and Group Detection (LinkKDD2004), Seattle, WA, USA, August 22-25, 2004.
2. T. H. Cormen, C. E. Leiserson, R. L. Rivest, &C. Stein. Introduction to Algorithms, Second Edition. Cambridge, MA: MIT Press, 2002.
3. L. Getoor &C. P. Diehl. Link mining: a survey. SIGKDD Explorations, Special Issue on Link Mining, 7(2):3-12.
4. L. Getoor, N. Friedman, D. Koller, &B. Taskar. Learning Probabilistic Models of Link Structure. Journal of Machine Learning Research, 2002.
5. W. H. Hsu, P. Boddhireddy, &R. Joehanes. Using probabilistic relational models for collaborative filtering. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Statistical Learning of Relational Models (SRL), Acapulco, MEXICO, August, 2003.
6. S. Hill. Social network relational vectors for anonymous identity matching In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Statistical Learning of Relational Models (SRL), Acapulco, MEXICO, August, 2003.
7. R. C. Holte. Very Simple Classification Rules Perform Well on Most Commonly Used Datasets. Machine Learning, 11(1):63-90.
8. W. H. Hsu. Relational graphical models of computational workflows for data mining. In Proceedings of the International Conference on Semantics of a Networked World: Semantics for Grid Databases (ICSNW-2004), p. 309-310, Paris, FRANCE, June, 2004.
9. W. H. Hsu. Relational graphical models for collaborative filtering and recommendation of computational workflow components. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Multi-Agent Information Retrieval and Recommender Systems, Edinburgh, UK, July 31, 2005.
10. W. H. Hsu, A. King, M. S. R. Paradesi, T. Pydimarri, &T. Weninger. Collaborative and Structural Recommendation of Friends using Weblog-based Social Network Analysis. In Proceedings of the 2006 AAAI Spring Symposium on Computatational Approaches to Analyzing Weblogs (CAAW 2006).
11. N. S. Ketkar, L. B. Holder, &D. J. Cook. Comparison of graph-based and logic-based multi-relational data mining. SIGKDD Explorations, Special Issue on Link Mining, 7(2):64-71.
12. D. Koller. Representation, Reasoning and Learning. IJCAI Computers and Thought Award Lecture, 2001.
13. A. McCallum, A. Corrada-Emmanuel, &X. Wang. Topic and role discovery in social networks. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), Edinburgh, UK, August, 2005.
14. M. Mukherjee &L. B. Holder. Graph-based data mining on social networks. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) Workshop on Link Analysis and Group Detection (LinkKDD2004), Seattle, WA, USA, August 22-25, 2004.
15. A. Popescul &L. H. Ungar. Statistical relational learning for link prediction. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Statistical Learning of Relational Models (SRL), Acapulco, MEXICO, August, 2003.
16. J. Resig, S. Dawara, C. M. Homan, &A. Teredesai. Extracting social networks from instant messaging populations. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) Workshop on Link Analysis and Group Detection (LinkKDD2004), Seattle, WA, USA, August 22-25, 2004.
17. P. Sarkar &A. Moore. Dynamic social network analysis using latent space models. SIGKDD Explorations, Special Issue on Link Mining, 7(2):31-40.