Abstract is missing.
- Time-based sampling of social network activity graphsNesreen K. Ahmed, Fredrick Berchmans, Jennifer Neville, Ramana Rao Kompella. 1-9 [doi]
- Structure, tie persistence and event detection in large phone and SMS networksLeman Akoglu, Bhavana Dalvi. 10-17 [doi]
- A compact representation of graph databasesSandra Álvarez-García, Nieves R. Brisaboa, Susana Ladra, Oscar Pedreira. 18-25 [doi]
- Enhancing link-based similarity through the use of non-numerical labels and prior informationChristian Desrosiers, George Karypis. 26-33 [doi]
- Network community discovery: solving modularity clustering via normalized cutLinbin Yu, Chris H. Q. Ding. 34-36 [doi]
- Analyzing graph databases by aggregate queriesAnton Dries, Siegfried Nijssen. 37-45 [doi]
- Multi-network fusion for collective inferenceHoda Eldardiry, Jennifer Neville. 46-54 [doi]
- Bayesian block modelling for weighted networksIan Gallagher. 55-61 [doi]
- An efficient block model for clustering sparse graphsÁdám Gyenge, Janne Sinkkonen, András A. Benczúr. 62-69 [doi]
- Centrality metric for dynamic networksKristina Lerman, Rumi Ghosh, Jeon-Hyung Kang. 70-77 [doi]
- Design patterns for efficient graph algorithms in MapReduceJimmy Lin, Michael Schatz. 78-85 [doi]
- Document classification utilising ontologies and relations between documentsKatariina Nyberg, Tapani Raiko, Teemu Tiinanen, Eero Hyvönen. 86-93 [doi]
- Graph visualization with latent variable modelsJuuso A. Parkkinen, Kristian Nybo, Jaakko Peltonen, Samuel Kaski. 94-101 [doi]
- Relational motif discovery via graph spectral rankingAlberto Pinto. 102-109 [doi]
- Pruthak: mining and analyzing graph substructuresSwapnil Shrivastava, Kriti Kulshrestha, Pratibha Singh, Supriya N. Pal. 110-118 [doi]
- Structural correlation pattern mining for large graphsArlei Silva, Wagner Meira Jr., Mohammed J. Zaki. 119-126 [doi]
- Meaningful selection of temporal resolution for dynamic networksRajmonda Sulo Caceres, Tanya Y. Berger-Wolf, Robert Grossman. 127-136 [doi]
- Community evolution detection in dynamic heterogeneous information networksYizhou Sun, Jie Tang, Jiawei Han, Manish Gupta, Bo Zhao. 137-146 [doi]
- Network quantification despite biased labelsLei Tang, Huiji Gao, Huan Liu. 147-154 [doi]
- Frequent subgraph discovery in dynamic networksBianca Wackersreuther, Peter Wackersreuther, Annahita Oswald, Christian Böhm, Karsten M. Borgwardt. 155-162 [doi]
- Querying graphs with uncertain predicatesHao Zhou, Anna A. Shaverdian, H. V. Jagadish, George Michailidis. 163-170 [doi]
- Frequent subgraph mining on a single large graph using sampling techniquesRuoyu Zou, Lawrence B. Holder. 171-178 [doi]