Referral Web: combining social networks and collaborative filtering
Communications of the ACM
CiteSeer: an automatic citation indexing system
Proceedings of the third ACM conference on Digital libraries
A hands-on introduction to collaborative filtering (tutorial session)(abstract only)
CSCW '96 Proceedings of the 1996 ACM conference on Computer supported cooperative work
Efficient identification of Web communities
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Text Classification from Labeled and Unlabeled Documents using EM
Machine Learning - Special issue on information retrieval
Unsupervised learning by probabilistic latent semantic analysis
Machine Learning
Modern Information Retrieval
A Min-max Cut Algorithm for Graph Partitioning and Data Clustering
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Topic-conditioned novelty detection
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Stochastic link and group detection
Eighteenth national conference on Artificial intelligence
The Journal of Machine Learning Research
The link prediction problem for social networks
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Information diffusion through blogspace
Proceedings of the 13th international conference on World Wide Web
Two supervised learning approaches for name disambiguation in author citations
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Probabilistic author-topic models for information discovery
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Tracking dynamics of topic trends using a finite mixture model
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Discovering evolutionary theme patterns from text: an exploration of temporal text mining
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Probabilistic models for discovering e-communities
Proceedings of the 15th international conference on World Wide Web
Topic modeling with network regularization
Proceedings of the 17th international conference on World Wide Web
Topic models and a revisit of text-related applications
Proceedings of the 2nd PhD workshop on Information and knowledge management
Probabilistic community discovery using hierarchical latent Gaussian mixture model
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Detecting topic evolution in scientific literature: how can citations help?
Proceedings of the 18th ACM conference on Information and knowledge management
Learning dynamic information needs: A collaborative topic variation inspection approach
Journal of the American Society for Information Science and Technology
Understanding topic influence based on module network
ICADL'07 Proceedings of the 10th international conference on Asian digital libraries: looking back 10 years and forging new frontiers
PET: a statistical model for popular events tracking in social communities
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Analysis of computer science communities based on DBLP
ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
Citation count prediction: learning to estimate future citations for literature
Proceedings of the 20th ACM international conference on Information and knowledge management
Topic correlation and individual influence analysis in online forums
Expert Systems with Applications: An International Journal
Data in social network analysis
ICCMSN'08 Proceedings of the First international conference on Computer-Mediated Social Networking
COLBERT: a scoring based graphical model for expert identification
SBP'10 Proceedings of the Third international conference on Social Computing, Behavioral Modeling, and Prediction
To better stand on the shoulder of giants
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
Ads and the city: considering geographic distance goes a long way
Proceedings of the sixth ACM conference on Recommender systems
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
An automated multiscale map of conversations: mothers and matters
SocInfo'12 Proceedings of the 4th international conference on Social Informatics
Journal of Information Science
Grey System Theory based prediction for topic trend on Internet
Engineering Applications of Artificial Intelligence
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We propose a method for discovering the dependency relationships between the topics of documents shared in social networks using the latent social interactions, attempting to answer the question: given a seemingly new topic, from where does this topic evolve? In particular, we seek to discover the pair-wise probabilistic dependency in topics of documents which associate social actors from a latent social network, where these documents are being shared. By viewing the evolution of topics as a Markov chain, we estimate a Markov transition matrix of topics by leveraging social interactions and topic semantics. Metastable states in a Markov chain are applied to the clustering of topics. Applied to the CiteSeer dataset, a collection of documents in academia, we show the trends of research topics, how research topics are related and which are stable. We also show how certain social actors, authors, impact these topics and propose new ways for evaluating author impact.