• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 30 matches

• 2025
• 
  Jiahao He, Zijun Chen, Xue Sun, Wenyuan Liu:
  Finding top-r weighted k-wing communities in bipartite graphs. J. Comput. Sci. 85: 102530 (2025)
• 2023
• 
  Kai Wang, Wenjie Zhang, Ying Zhang, Lu Qin, Yuting Zhang:
  Discovering Significant Communities on Bipartite Graphs: An Index-Based Approach. IEEE Trans. Knowl. Data Eng. 35(3): 2471-2485 (2023)
• 
  Zi Chen, Yiwei Zhao, Long Yuan, Xuemin Lin, Kai Wang:
  Index-Based Biclique Percolation Communities Search on Bipartite Graphs. ICDE 2023: 2699-2712
• 2022
• 
  Kelly B. Yancey, Matthew P. Yancey:
  Bipartite communities via spectral partitioning. J. Comb. Optim. 44(3): 1995-2028 (2022)
• 2021
• 
  T. Ramalingeswara Rao, Soumya Kanti Ghosh, Adrijit Goswami:
  Mining user-user communities for a weighted bipartite network using spark GraphFrames and Flink Gelly. J. Supercomput. 77(6): 5984-6035 (2021)
• 
  Gaëlle Candel, David Naccache:
  Co-Embedding: Discovering Communities on Bipartite Graphs through Projection. CoRR abs/2109.07135 (2021)
• 
  Ali Hojjat, Ghazaleh Haddad:
  A New Approach to Detect Important Members that Create the Communities in Bipartite Networks. CoRR abs/2112.01383 (2021)
• 2020
• 
  Alan Valejo, Fabiana Góes, Luzia Romanetto, Maria Cristina Ferreira de Oliveira, Alneu de Andrade Lopes:
  A benchmarking tool for the generation of bipartite network models with overlapping communities. Knowl. Inf. Syst. 62(4): 1641-1669 (2020)
• 2019
• 
  Guo-Zheng Wang, Li Xiong, Hu-Chen Liu:
  A Bayesian Inference Method Using Monte Carlo Sampling for Estimating the Number of Communities in Bipartite Networks. Sci. Program. 2019: 9471201:1-9471201:12 (2019)
• 
  Paola Pesantez-Cabrera, Ananth Kalyanaraman:
  Efficient Detection of Communities in Biological Bipartite Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 258-271 (2019)
• 2018
• 
  Tao Dai, Li Zhu, Xiaoyan Cai, Shirui Pan, Sheng Yuan:
  Explore semantic topics and author communities for citation recommendation in bipartite bibliographic network. J. Ambient Intell. Humaniz. Comput. 9(4): 957-975 (2018)
• 
  Kelly B. Yancey, Matthew P. Yancey:
  Bipartite Communities via Spectral Partitioning. COCOA 2018: 123-137
• 
  Radek Marik, Tomás Zikmund:
  Overlapping Communities in Bipartite Graphs. COMPLEX NETWORKS (1) 2018: 207-218
• 2017
• 
  Christian Bongiorno, András London, Salvatore Miccichè, Rosario N. Mantegna:
  Core of communities in bipartite networks. CoRR abs/1704.01524 (2017)
• 2016
• 
  Paola Pesantez-Cabrera, Ananth Kalyanaraman:
  Detecting Communities in Biological Bipartite Networks. BCB 2016: 98-107
• 2015
• 
  Caiyan Dai, Ling Chen, Bolun Chen:
  Using Suffix Tree to Detect Communities from Bipartite Network. CBD 2015: 141-147
• 
  Raphal Tackx, Jean-Loup Guillaume, Fabien Tarissan:
  Revealing intricate properties of communities in the bipartite structure of online social networks. RCIS 2015: 321-326
• 2014
• 
  Fatiha Souam, Ali Aïtelhadj, Ahmed Riadh Baba-Ali:
  Dual modularity optimization for detecting overlapping communities in bipartite networks. Knowl. Inf. Syst. 40(2): 455-488 (2014)
• 
  Matthew P. Yancey:
  Bipartite Communities. CoRR abs/1412.5666 (2014)
• 2013
• 
  Yongcheng Xu, Ling Chen, Shengrong Zou:
  Ant Colony Optimization for Detecting Communities from Bipartite network. J. Softw. 8(11): 2930-2935 (2013)
• 2011
• 
  Marija Mitrovic, Bosiljka Tadic:
  Patterns of Emotional Blogging and Emergence of Communities: Agent-Based Model on Bipartite Networks. CoRR abs/1110.5057 (2011)
• 2010
• 
  Tsuyoshi Murata, Tomoyuki Ikeya:
  A New Modularity for Detecting One-to-Many Correspondence of Communities in Bipartite Networks. Adv. Complex Syst. 13(1): 19-31 (2010)
• 
  Kaikuo Xu, Changjie Tang, Chuan Li, Yexi Jiang, Rong Tang:
  An MDL Approach to Efficiently Discover Communities in Bipartite Network. DASFAA (1) 2010: 595-611
• 
  Keiu Harada, Ikuo Suzuki, Masahito Yamamoto, Masashi Furukawa:
  Community Extraction by Bipartite Modularity Using Communities Correspondence. SWWS 2010: 147-151
• 
  Weihua Zhan, Zhongzhi Zhang, Jihong Guan, Shuigeng Zhou:
  A evolutionary method for finding communities in bipartite networks. CoRR abs/1011.3315 (2010)
• 2009
• 
  Tsuyoshi Murata:
  Detecting Communities from Bipartite Networks Based on Bipartite Modularities. CSE (4) 2009: 50-57
• 
  Jelena Grujic, Marija Mitrovic, Bosiljka Tadic:
  Mixing patterns and communities on bipartite graphs on web-based social interactions. DPS 2009: 1-8
• 
  Tsuyoshi Murata:
  New Modularity for Evaluating Communities in Bipartite Networks. MLG/SRL@ILP 2009
• 2008
• 
  Tsuyoshi Murata:
  Discovering, Visualizing and Evaluating Online Bipartite Communities. Web Intelligence/IAT Workshops 2008: 161-164
• 2001
• 
  P. Krishna Reddy, Masaru Kitsuregawa:
  An Approach to Relate the Web Communities through Bipartite Graphs. WISE (1) 2001: 301-310