Information about social networks can often be collected as event stream data. However, most methods in social network analysis are defined for static network snapshots or for panel data. We propose an actor oriented Markov process framework to analyze the structural dynamics in event streams. Estimated parameters are similar to what is known from exponential random graph models or stochastic actor oriented models as implemented in SIENA. We apply the methodology on a question and answer web community and show how the relevance of different kinds of one- and two-mode network structures can be tested using a new software. (C) 2011 Elsevier B.V. All rights reserved
There has been an increasing interest in understanding how social networks evolve over time. The stu...
The study of social network dynamics has become an increasingly important component of many discipli...
The study of social network dynamics has become an increasingly important component of many discipli...
Information about social networks can often be collected as event stream data. However, most methods...
Information about social networks can often be collected as event stream data. However, most methods...
Information about social networks can often be collected as event stream data. However, most methods...
Many real-world systems can be represented as networks driven by discrete events, each event identif...
Stochastic Actor Oriented Models for Network Dynamics are used for the statistical analysis of longi...
Stochastic Actor Oriented Models for Network Dynamics are used for the statistical analysis of longi...
This article discusses the stochastic actor-oriented model for analyzing panel data of networks. The...
Stochastic Actor Oriented Models for Network Dynamics are used for the statistical analysis of longi...
Stochastic Actor Oriented Models for Network Dynamics are used for the statistical analysis of longi...
Many real-world systems can be represented as networks driven by discrete {em events}, each event id...
Stochastic Actor Oriented Models for Network Dynamics are used for the statistical analysis of longi...
Stochastic Actor Oriented Models for Network Dynamics are used for the statistical analysis of longi...
There has been an increasing interest in understanding how social networks evolve over time. The stu...
The study of social network dynamics has become an increasingly important component of many discipli...
The study of social network dynamics has become an increasingly important component of many discipli...
Information about social networks can often be collected as event stream data. However, most methods...
Information about social networks can often be collected as event stream data. However, most methods...
Information about social networks can often be collected as event stream data. However, most methods...
Many real-world systems can be represented as networks driven by discrete events, each event identif...
Stochastic Actor Oriented Models for Network Dynamics are used for the statistical analysis of longi...
Stochastic Actor Oriented Models for Network Dynamics are used for the statistical analysis of longi...
This article discusses the stochastic actor-oriented model for analyzing panel data of networks. The...
Stochastic Actor Oriented Models for Network Dynamics are used for the statistical analysis of longi...
Stochastic Actor Oriented Models for Network Dynamics are used for the statistical analysis of longi...
Many real-world systems can be represented as networks driven by discrete {em events}, each event id...
Stochastic Actor Oriented Models for Network Dynamics are used for the statistical analysis of longi...
Stochastic Actor Oriented Models for Network Dynamics are used for the statistical analysis of longi...
There has been an increasing interest in understanding how social networks evolve over time. The stu...
The study of social network dynamics has become an increasingly important component of many discipli...
The study of social network dynamics has become an increasingly important component of many discipli...