Computational organization theory
Computational organization theory
On the bursty evolution of blogspace
WWW '03 Proceedings of the 12th international conference on World Wide Web
Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Email as spectroscopy: automated discovery of community structure within organizations
Communities and technologies
Graphs over time: densification laws, shrinking diameters and possible explanations
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Locating hidden groups in communication networks using hidden Markov models
ISI'03 Proceedings of the 1st NSF/NIJ conference on Intelligence and security informatics
A framework for community identification in dynamic social networks
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
CommTracker: A Core-Based Algorithm of Tracking Community Evolution
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
A framework for WWW user activity analysis based on user interest
Knowledge-Based Systems
Discovering the Dynamics in a Social Memory Network
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
The Time-Series Link Prediction Problem with Applications in Communication Surveillance
INFORMS Journal on Computing
Constant-factor approximation algorithms for identifying dynamic communities
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
What's behind topic formation and development: a perspective of community core groups
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
Characterizing the evolution of collaboration network
Proceedings of the 2nd ACM workshop on Social web search and mining
Detecting dynamic communities in opportunistic networks
ICUFN'09 Proceedings of the first international conference on Ubiquitous and future networks
Molecular dynamics modelling of the temporal changes in complex networks
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
The Influence of Customer Churn and Acquisition on Value Dynamics of Social Neighbourhoods
WSKS '09 Proceedings of the 2nd World Summit on the Knowledge Society: Visioning and Engineering the Knowledge Society. A Web Science Perspective
Proceedings of the 3rd Workshop on Social Network Mining and Analysis
Reverse engineering an agent-based hidden Markov model for complex social systems
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Dynamic core detection in social network analysis
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
Mining online shopping patterns and communities
Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services
Centrality metric for dynamic networks
Proceedings of the Eighth Workshop on Mining and Learning with Graphs
Meaningful selection of temporal resolution for dynamic networks
Proceedings of the Eighth Workshop on Mining and Learning with Graphs
Multiobjective evolutionary algorithms for dynamic social network clustering
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Agent-based simulation of the diffusion of warnings
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
A fuzzy prediction model for calling communities
International Journal of Networking and Virtual Organisations
Graph pattern matching: from intractable to polynomial time
Proceedings of the VLDB Endowment
Community Discovery via Metagraph Factorization
ACM Transactions on Knowledge Discovery from Data (TKDD)
Recommendations using linked data
Proceedings of the 5th Ph.D. workshop on Information and knowledge
Simulating the Diffusion of Information: An Agent-Based Modeling Approach
International Journal of Agent Technologies and Systems
Real Time Distributed Community Structure Detection in Dynamic Networks
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Influence of the Dynamic Social Network Timeframe Type and Size on the Group Evolution Discovery
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Visual Analysis of Dynamic Networks Using Change Centrality
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Evolutionary Community Detection for Observing Covert Political Elite Cliques
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Determining credibility from social network structure
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Toward characterizing a more significant identity of core structure within dynamic social network
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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Finding patterns of social interaction within a population has wide-ranging applications including: disease modeling, cultural and information transmission, and behavioral ecology. Social interactions are often modeled with networks. A key characteristic of social interactions is their continual change. However, most past analyses of social networks are essentially static in that all information about the time that social interactions take place is discarded. In this paper, we propose a new mathematical and computational framework that enables analysis of dynamic social networks and that explicitly makes use of information about when social interactions occur.