2nd SNA-KDD Workshop

Workshop on
Social Network Mining and Analysis

Held in conjunction with
The 13th ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining (KDD 2008)

August 24-27, 2008, Las Vegas, NV

Call for Papers Instructions for Authors Accepted Papers Workshop Program Program Committee Past SNAKDD workshops

Accepted Papers

Regular Papers

1. Rongjing Xiang and Jennifer Neville. Pseudolikelihood EM for Within-Network Relational Learning

2. Debora Donato, Stefano Leonardi and Mario Paniccia. Combining Transitive Trust and Negative Opinions for better Reputation Management in Social Networks

3. Arindam Banerjee and Sugato Basu. A Social Query Model for Decentralized Search

4. Mark Goldberg, Malik Magdon-Ismail, Stephen Kelley, Konstantin Mertsalov and William
Wallace. Communication Dynamics of Blog Networks

5. Vikas Bahirwani, Doina Caragea, Waleed Aljandal and William Hsu. Ontology Engineering and Feature Construction for Predicting Friendship Links in the Live Journal Social Network

6. Nishith Pathak, Colin DeLong, Arindam Banerjee and Kendrick Erickson. Social Topic Models for Community Extraction

7. Santi Phithakkitnukoon and Ram Dantu. Adequacy of Data for Characterizing Caller Behavior

8. karl branting. Overcoming Resolution Limits in MDL Community Detection

9. Ralf Klamma and Christian Haasler. Wikis as Social Networks: Evolution and Dynamics

10. Zhao Xu, Volker Tresp, Shipeng Yu and Kai Yu. Nonparametric Relational Learning for Social Network Analysis

11. Barna Saha and Lise Getoor. Group Proximity Measure for Recommending Groups in Online Social Networks

Poster Papers

1. Hoda Eldardiry and Jennifer Neville. A Resampling Technique for Relational Data Graphs

2. Habiba, Yintao Yu, Tanya Berger-Wolf and Jared Saia. Finding Spread Blockers in Dynamic Networks

3. Rumi Ghosh and Kristina Lerman. Community Detection using a Measure of Global Influence

4. Elena Zheleva, Lise Getoor, Jennifer Golbeck and Ugur Kuter. Using Friendship Ties and Family Circles for Link Prediction

5. Brian Gallagher and Tina Eliassi-Rad. Leveraging Label-Independent Features for Classification in Sparsely Labeled Networks: An Empirical Study

6. Miklos Kurucz, Andras A. Benczur and Attila Pereszlenyi. Large-Scale Principal Component Analysis on LiveJournal Friends Network

7. Steffen Oldenburg (@web.de), Martin Garbe, Clemens Cap and Lukas Zielinski. Comparative analysis of tag suggestion algorithms

8. Pelin Angin and Jennifer Neville. A Shrinkage Approach for Modeling Non-Stationary Relational Autocorrelation