Co-clustering documents and words using bipartite spectral graph partitioning
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Bipartite graph partitioning and data clustering
Proceedings of the tenth international conference on Information and knowledge management
ReCoM: reinforcement clustering of multi-type interrelated data objects
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Cluster ensembles --- a knowledge reuse framework for combining multiple partitions
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Graphs over time: densification laws, shrinking diameters and possible explanations
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Co-clustering by block value decomposition
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Learning from labeled and unlabeled data on a directed graph
ICML '05 Proceedings of the 22nd international conference on Machine learning
Dynamic social network analysis using latent space models
ACM SIGKDD Explorations Newsletter
Probabilistic models for discovering e-communities
Proceedings of the 15th international conference on World Wide Web
Spectral clustering for multi-type relational data
ICML '06 Proceedings of the 23rd international conference on Machine learning
Group formation in large social networks: membership, growth, and evolution
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Orthogonal nonnegative matrix t-factorizations for clustering
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Evolutionary spectral clustering by incorporating temporal smoothness
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
A probabilistic framework for relational clustering
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
A framework for community identification in dynamic social networks
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
An event-based framework for characterizing the evolutionary behavior of interaction graphs
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Euclidean Embedding of Co-occurrence Data
The Journal of Machine Learning Research
Facetnet: a framework for analyzing communities and their evolutions in dynamic networks
Proceedings of the 17th international conference on World Wide Web
Mixed Membership Stochastic Blockmodels
The Journal of Machine Learning Research
Topic and role discovery in social networks with experiments on enron and academic email
Journal of Artificial Intelligence Research
Relational learning via latent social dimensions
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Scalable learning of collective behavior based on sparse social dimensions
Proceedings of the 18th ACM conference on Information and knowledge management
Community mining on dynamic weighted directed graphs
Proceedings of the 1st ACM international workshop on Complex networks meet information & knowledge management
On-line evolutionary exponential family mixture
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
A particle-and-density based evolutionary clustering method for dynamic networks
Proceedings of the VLDB Endowment
CHRONICLE: A Two-Stage Density-Based Clustering Algorithm for Dynamic Networks
DS '09 Proceedings of the 12th International Conference on Discovery Science
Community evolution detection in dynamic heterogeneous information networks
Proceedings of the Eighth Workshop on Mining and Learning with Graphs
Multiobjective evolutionary community detection for dynamic networks
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Using cohesive subgroups for analyzing the evolution of the friend view mobile social network
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
Tracking communities in dynamic social networks
SBP'11 Proceedings of the 4th international conference on Social computing, behavioral-cultural modeling and prediction
Community Discovery via Metagraph Factorization
ACM Transactions on Knowledge Discovery from Data (TKDD)
ECODE: event-based community detection from social networks
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications - Volume Part I
Exploiting vulnerability to secure user privacy on a social networking site
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Graph-based data warehousing using the core-facets model
ICDM'11 Proceedings of the 11th international conference on Advances in data mining: applications and theoretical aspects
Leveraging Social Network Analysis with Topic Models and the Semantic Web
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Discovering multirelational structure in social media streams
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Community detection in incomplete information networks
Proceedings of the 21st international conference on World Wide Web
Role-dynamics: fast mining of large dynamic networks
Proceedings of the 21st international conference companion on World Wide Web
Community detection via heterogeneous interaction analysis
Data Mining and Knowledge Discovery
A framework for exploring organizational structure in dynamic social networks
Decision Support Systems
Multi-Layer network for influence propagation over microblog
PAISI'12 Proceedings of the 2012 Pacific Asia conference on Intelligence and Security Informatics
iTop: interaction based topic centric community discovery on twitter
Proceedings of the 5th Ph.D. workshop on Information and knowledge
From face-to-face gathering to social structure
Proceedings of the 21st ACM international conference on Information and knowledge management
Modeling dynamic behavior in large evolving graphs
Proceedings of the sixth ACM international conference on Web search and data mining
Dynamix: anonymity on dynamic social structures
Proceedings of the 8th ACM SIGSAC symposium on Information, computer and communications security
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Graph hashing and factorization for fast graph stream classification
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Role of social media in tackling challenges in mental health
Proceedings of the 2nd international workshop on Socially-aware multimedia
Proceedings of the 17th International Database Engineering & Applications Symposium
Mining user interest and its evolution for recommendation on the micro-blogging system
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
Adaptive evolutionary clustering
Data Mining and Knowledge Discovery
Leveraging social network analysis with topic models and the Semantic Web extended
Web Intelligence and Agent Systems - Web Intelligence and Communities
| Hi-index | 0.00 |
A multi-mode network typically consists of multiple heterogeneous social actors among which various types of interactions could occur. Identifying communities in a multi-mode network can help understand the structural properties of the network, address the data shortage and unbalanced problems, and assist tasks like targeted marketing and finding influential actors within or between groups. In general, a network and the membership of groups often evolve gradually. In a dynamic multi-mode network, both actor membership and interactions can evolve, which poses a challenging problem of identifying community evolution. In this work, we try to address this issue by employing the temporal information to analyze a multi-mode network. A spectral framework and its scalability issue are carefully studied. Experiments on both synthetic data and real-world large scale networks demonstrate the efficacy of our algorithm and suggest its generality in solving problems with complex relationships.