Inferring Web communities from link topology
Proceedings of the ninth ACM conference on Hypertext and hypermedia : links, objects, time and space---structure in hypermedia systems: links, objects, time and space---structure in hypermedia systems
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
The Journal of Machine Learning Research
Exploiting relational structure to understand publication patterns in high-energy physics
ACM SIGKDD Explorations Newsletter
The author-topic model for authors and documents
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Group and topic discovery from relations and text
Proceedings of the 3rd international workshop on Link discovery
Mining hidden community in heterogeneous social networks
Proceedings of the 3rd international workshop on Link discovery
Statistical entity-topic models
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
The GENIA corpus: an annotated research abstract corpus in molecular biology domain
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Semantic annotation of frequent patterns
ACM Transactions on Knowledge Discovery from Data (TKDD)
Discovering semantic biomedical relations utilizing the Web
ACM Transactions on Knowledge Discovery from Data (TKDD)
Topic modeling with network regularization
Proceedings of the 17th international conference on World Wide Web
Learning multiple graphs for document recommendations
Proceedings of the 17th international conference on World Wide Web
Statistical properties of community structure in large social and information networks
Proceedings of the 17th international conference on World Wide Web
Influence and correlation in social networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Structured entity identification and document categorization: two tasks with one joint model
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Microscopic evolution of social networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Joint latent topic models for text and citations
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Relationship identification for social network discovery
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Potential collaboration discovery using document clustering and community structure detection
Proceedings of the 1st ACM international workshop on Complex networks meet information & knowledge management
Equip tourists with knowledge mined from travelogues
Proceedings of the 19th international conference on World wide web
Trust network inference for online rating data using generative models
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining topic-level influence in heterogeneous networks
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Empirical study of topic modeling in Twitter
Proceedings of the First Workshop on Social Media Analytics
Group Profiling for Understanding Social Structures
ACM Transactions on Intelligent Systems and Technology (TIST)
Topic modeling of freelance job postings to monitor web service abuse
Proceedings of the 4th ACM workshop on Security and artificial intelligence
Improving user interest inference from social neighbors
Proceedings of the 20th ACM international conference on Information and knowledge management
Extracting multi-dimensional relations: a generative model of groups of entities in a corpus
Proceedings of the 20th ACM international conference on Information and knowledge management
Improving topic evaluation using conceptual knowledge
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Practical collapsed variational bayes inference for hierarchical dirichlet process
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Community discovery and profiling with social messages
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Sequential entity group topic model for getting topic flows of entity groups within one document
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Transforming graph data for statistical relational learning
Journal of Artificial Intelligence Research
Discovering social circles in ego networks
ACM Transactions on Knowledge Discovery from Data (TKDD) - Casin special issue
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Network data is ubiquitous, encoding collections of relationships between entities such as people, places, genes, or corporations. While many resources for networks of interesting entities are emerging, most of these can only annotate connections in a limited fashion. Although relationships between entities are rich, it is impractical to manually devise complete characterizations of these relationships for every pair of entities on large, real-world corpora. In this paper we present a novel probabilistic topic model to analyze text corpora and infer descriptions of its entities and of relationships between those entities. We develop variational methods for performing approximate inference on our model and demonstrate that our model can be practically deployed on large corpora such as Wikipedia. We show qualitatively and quantitatively that our model can construct and annotate graphs of relationships and make useful predictions.