The Journal of Machine Learning Research
Probabilistic author-topic models for information discovery
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Information Extraction: Distilling Structured Data from Unstructured Text
Queue - Social Computing
Automatically classifying emails into activities
Proceedings of the 11th international conference on Intelligent user interfaces
EventRank: a framework for ranking time-varying networks
Proceedings of the 3rd international workshop on Link discovery
Group and topic discovery from relations and text
Proceedings of the 3rd international workshop on Link discovery
Capital and benefit in social networks
Proceedings of the 3rd international workshop on Link discovery
Bibliometric impact measures leveraging topic analysis
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Topics over time: a non-Markov continuous-time model of topical trends
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Discovering groups of people in Google news
Proceedings of the 1st ACM international workshop on Human-centered multimedia
Expertise modeling for matching papers with reviewers
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Generalized component analysis for text with heterogeneous attributes
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
iLink: search and routing in social networks
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining geographic knowledge using location aware topic model
Proceedings of the 4th ACM workshop on Geographical information retrieval
Discovering authorities in question answer communities by using link analysis
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Mining business topics in source code using latent dirichlet allocation
ISEC '08 Proceedings of the 1st India software engineering conference
Adaptive e-mail intention finding mechanism based on e-mail words social networks
Proceedings of the 2007 workshop on Large scale attack defense
Using PLSI-U to detect insider threats by datamining e-mail
International Journal of Security and Networks
Topic modeling with network regularization
Proceedings of the 17th international conference on World Wide Web
Generating summary keywords for emails using topics
Proceedings of the 13th international conference on Intelligent user interfaces
Prediction of Information Diffusion Probabilities for Independent Cascade Model
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III
Incorporating topic transition in topic detection and tracking algorithms
Expert Systems with Applications: An International Journal
A framework for WWW user activity analysis based on user interest
Knowledge-Based Systems
Data weaving: scaling up the state-of-the-art in data clustering
Proceedings of the 17th ACM conference on Information and knowledge management
Unsupervised Text Learning Based on Context Mixture Model with Dirichlet Prior
Advanced Web and NetworkTechnologies, and Applications
Modeling Collaborations Content in Social Network Analysis
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Estimation of friendship and hierarchy from conversation records
Information Sciences: an International Journal
Topic-link LDA: joint models of topic and author community
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Content-Based Social Network Analysis
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Extracting knowledge about users' activities from raw workstation contents
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Identifying the Original Contribution of a Document via Language Modeling
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Extracting influential nodes for information diffusion on a social network
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Interactive clustering of text collections according to a user-specified criterion
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A privacy-sensitive approach to modeling multi-person conversations
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Extracting keyphrases to represent relations in social networks from web
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Learning author-topic models from text corpora
ACM Transactions on Information Systems (TOIS)
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Extracting influential nodes on a social network for information diffusion
Data Mining and Knowledge Discovery
A Survey of Statistical Network Models
Foundations and Trends® in Machine Learning
Joint group and topic discovery from relations and text
ICML'06 Proceedings of the 2006 conference on Statistical network analysis
Inferring organizational titles in online communication
ICML'06 Proceedings of the 2006 conference on Statistical network analysis
ICML'06 Proceedings of the 2006 conference on Statistical network analysis
Socialmotion: measuring the hidden social life of a building
LoCA'07 Proceedings of the 3rd international conference on Location-and context-awareness
K-isomorphism: privacy preserving network publication against structural attacks
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Community-based ranking of the social web
Proceedings of the 21st ACM conference on Hypertext and hypermedia
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
ACM Transactions on Information Systems (TOIS)
Topic models conditioned on relations
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Predicting future reviews: sentiment analysis models for collaborative filtering
Proceedings of the fourth ACM international conference on Web search and data mining
Topic-based social network analysis for virtual communities of interests in the Dark Web
ACM SIGKDD Workshop on Intelligence and Security Informatics
Intra-firm information flow: a content-structure perspective
IDA'11 Proceedings of the 10th international conference on Advances in intelligent data analysis X
Tractable models for information diffusion in social networks
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Combinatorial markov random fields
ECML'06 Proceedings of the 17th European conference on Machine Learning
Analyzing entities and topics in news articles using statistical topic models
ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
Topic oriented community detection through social objects and link analysis in social networks
Knowledge-Based Systems
Approximate solutions for the influence maximization problem in a social network
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Study of diffusion models in an academic social network
ICDCIT'10 Proceedings of the 6th international conference on Distributed Computing and Internet Technology
COLBERT: a scoring based graphical model for expert identification
SBP'10 Proceedings of the Third international conference on Social Computing, Behavioral Modeling, and Prediction
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
Using Author Topic to detect insider threats from email traffic
Digital Investigation: The International Journal of Digital Forensics & Incident Response
Generative Models for Evolutionary Clustering
ACM Transactions on Knowledge Discovery from Data (TKDD)
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
User-sentiment topic model: refining user's topics with sentiment information
Proceedings of the ACM SIGKDD Workshop on Mining Data Semantics
Document-topic hierarchies from document graphs
Proceedings of the 21st ACM international conference on Information and knowledge management
TUT: a statistical model for detecting trends, topics and user interests in social media
Proceedings of the 21st ACM international conference on Information and knowledge management
A sock puppet detection algorithm on virtual spaces
Knowledge-Based Systems
Feature LDA: a supervised topic model for automatic detection of web API documentations from the web
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
Representations for multi-document event clustering
Data Mining and Knowledge Discovery
Community detection in content-sharing social networks
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
A game theory based approach for community detection in social networks
BNCOD'13 Proceedings of the 29th British National conference on Big Data
Proceedings of the 7th ACM international conference on Web search and data mining
Discovering content-based behavioral roles in social networks
Decision Support Systems
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Previous work in social network analysis (SNA) has modeled the existence of links from one entity to another, but not the language content or topics on those links. We present the Author-Recipient-Topic (ART) model for social network analysis, which learns topic distributions based on the direction-sensitive messages sent between entities. The model builds on Latent Dirichlet Allocation (LDA) and the Author-Topic (AT) model, adding the key attribute that distribution over topics is conditioned distinctly on both the sender and recipient--steering the discovery of topics according to the relationships between people. We give results on both the Enron email corpus and a researcher's email archive, providing evidence not only that clearly relevant topics are discovered, but that the ART model better predicts people's roles.