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
An Introduction to Variational Methods for Graphical Models
Machine Learning
Automating the Construction of Internet Portals with Machine Learning
Information Retrieval
Variational methods for inference and estimation in graphical models
Variational methods for inference and estimation in graphical models
The Journal of Machine Learning Research
The author-topic model for authors and documents
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Dirichlet enhanced relational learning
ICML '05 Proceedings of the 22nd international conference on Machine learning
Graph mining: Laws, generators, and algorithms
ACM Computing Surveys (CSUR)
ICML '06 Proceedings of the 23rd international conference on Machine learning
Unsupervised prediction of citation influences
Proceedings of the 24th international conference on Machine learning
Topic modeling with network regularization
Proceedings of the 17th international conference on World Wide Web
Topic and role discovery in social networks
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Modeling the evolution of associated data
Data & Knowledge Engineering
The topic-perspective model for social tagging systems
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Latent interest-topic model: finding the causal relationships behind dyadic data
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
Mining topics on participations for community discovery
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Locally discriminative topic modeling
Pattern Recognition
Who is Doing What and When: Social Map-Based Recommendation for Content-Centric Social Web Sites
ACM Transactions on Intelligent Systems and Technology (TIST)
Group Profiling for Understanding Social Structures
ACM Transactions on Intelligent Systems and Technology (TIST)
Dynamically Modeling Semantic Dependencies in Web Forum Threads
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Learning to rank audience for behavioral targeting in display ads
Proceedings of the 20th ACM international conference on Information and knowledge management
Summarizing web forum threads based on a latent topic propagation process
Proceedings of the 20th ACM international conference on Information and knowledge management
Latent feature encoding using dyadic and relational data
Proceedings of the 20th ACM international conference on Information and knowledge management
Probabilistic model for discovering topic based communities in social networks
Proceedings of the 20th ACM international conference on Information and knowledge management
Topic mining based on graph local clustering
MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
Blogger-Link-Topic model for blog mining
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
Using content and interactions for discovering communities in social networks
Proceedings of the 21st international conference on World Wide Web
Document hierarchies from text and links
Proceedings of the 21st international conference on World Wide Web
Plink-LDA: using link as prior information in topic modeling
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications - Volume Part I
Context sensitive topic models for author influence in document networks
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Latent Community Topic Analysis: Integration of Community Discovery with Topic Modeling
ACM Transactions on Intelligent Systems and Technology (TIST)
Community discovery and profiling with social messages
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining contentions from discussions and debates
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
User-sentiment topic model: refining user's topics with sentiment information
Proceedings of the ACM SIGKDD Workshop on Mining Data Semantics
Integrating social media data for community detection
MSM'11 Proceedings of the 2011 international conference on Modeling and Mining Ubiquitous Social Media
Probabilistic Models for Social Media Mining
International Journal of Information Technology and Web Engineering
Transforming graph data for statistical relational learning
Journal of Artificial Intelligence Research
Exploring generative models of tripartite graphs for recommendation in social media
Proceedings of the 4th International Workshop on Modeling Social Media
Organizational overlap on social networks and its applications
Proceedings of the 22nd international conference on World Wide Web
Community detection by popularity based models for authored networked data
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Academic network analysis: a joint topic modeling approach
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Community detection in content-sharing social networks
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
TopicFlow: visualizing topic alignment of Twitter data over time
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
On handling textual errors in latent document modeling
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Mining causal topics in text data: iterative topic modeling with time series feedback
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Social Link Prediction in Online Social Tagging Systems
ACM Transactions on Information Systems (TOIS)
Generalized relational topic models with data augmentation
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Proceedings of the 7th ACM international conference on Web search and data mining
Discovering social circles in ego networks
ACM Transactions on Knowledge Discovery from Data (TKDD) - Casin special issue
A time-based collective factorization for topic discovery and monitoring in news
Proceedings of the 23rd international conference on World wide web
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Given a large-scale linked document collection, such as a collection of blog posts or a research literature archive, there are two fundamental problems that have generated a lot of interest in the research community. One is to identify a set of high-level topics covered by the documents in the collection; the other is to uncover and analyze the social network of the authors of the documents. So far these problems have been viewed as separate problems and considered independently from each other. In this paper we argue that these two problems are in fact inter-dependent and should be addressed together. We develop a Bayesian hierarchical approach that performs topic modeling and author community discovery in one unified framework. The effectiveness of our model is demonstrated on two blog data sets in different domains and one research paper citation data from CiteSeer.