ICDM 2011 Accepted Papers on Social Networks Related Topics

Here is the list of accepted papers in ICDM 2011. The following accepted papers of ICDM 2011 are related to social networks:

• Beyond `Caveman Communities’: Hubs and Spokes for Graph Compression and Mining
  U Kang and Christos Faloutsos

• Inferring the Diffusion and Evolution of Topics in Social Communities
  Xide Lin, Qiaozhu Mei, Jiawei Han, Yunliang Jiang, and Marina Danilevsky

• Detecting Community Kernels in Large Social Networks
  Liaoruo Wang, Tiancheng Lou, Jie Tang, and John Hopcroft

• Privacy Risk In Graph Stream Publishing For Social Network Applications
  Nigel Medforth and Ke Wang

• LinkBoost: A Novel Cost-Sensitive Boosting Framework for Community-Level Network Link Prediction
  Prakash Mandayam Comar, Pang-Ning Tan, and Anil Jain

• D-cores: measuring cohesion and collaboration of directed graphs
  Christos Giatsidis, Michalis Vazirgiannis, and Dimitrios Thilikos

• SIMPATH: An Efficient Algorithm for Influence Maximization under the Linear Threshold Model
  Amit Goyal, Wei Lu, and Laks Lakshmanan

• Threshold Conditions for Arbitrary Cascade Models on Arbitrary Networks
  B. Aditya Prakash, Deepayan Chakrabarti, Michalis Faloutsos, Nicholas Valler, and Christos Faloutsos

• Isograph: Neighbourhood Graph Construction Based On Geodesic Distance For Semi-Supervised Learning
  Marjan Ghazvininejad, Mostafa Mahdieh, Hamid R. Rabiee, Parisa Khanipour Roshan, and Mohammad Hossein Rohban

• Minimizing Seed Set for Viral Marketing
  Long Cheng and Raymond Chi-Wing WONG

• Mining Heavy Subgraphs in Time-Evolving Networks
  Petko Bogdanov, Misael Mongiovi, and Ambuj K. Singh

• TWITOBI: A Recommendation System for Twitter using Probabilistic Modeling
  Younghoon Kim and Kyuseok Shim

• (Short Paper) On the Hardness of Graph Anonymization
  Charu Aggarwal, Yao Li, and Philip S. Yu

• (Short Paper) Entropy-Based Graph Mining: Application to Biological and Social Networks
  Young-Rae Cho and Edward Casey Kenley

• (Short Paper) Identities Anonymization in Dynamic Social Networks
  Chih-Hua Tai Tai, Peng-Jui Tseng, Philip S. Yu, and Ming-Syan Chen

• (Short Paper) Cross-temporal Link Prediction
  Satoshi Oyama, Kohei Hayashi, and Hisashi Kashima

• (Short Paper) Discovering Emerging Topics in Social Streams via Link Anomaly Detection
  Toshimitsu Takahashi, Ryota Tomioka, and Kenji Yamanishi

• (Short Paper) Finding Communities in Dynamic Social Networks
  Chayant Tantipathananandh and Tanya Berger-Wolf