AbstractThe dynamic communication network within teams affects the performance of teams. But how can we analyze these emerging networks? We identified three research areas that have to be included for this purpose. First we summarize empirical studies concerning team networks and performance to point out the need of longitudinal investigations. Second we present the multi-level multi-theoretical model by Monge and Contractor (2003) which provides a theoretical framework to explain the evolution of communication networks within teams. Third a stochastic model is introduced that allows analyzing event based data, like e-mail streams, using exponential random graph models. We propose to include these three research areas that enable researcher...
International audienceThe traditional way of analyzing team sport performance has limitations in ter...
In order to deepen understanding of team processes in dynamic organizational contexts, we suggest th...
We asked how team dynamics can be captured in relation to function by considering games in the first...
AbstractThe dynamic communication network within teams affects the performance of teams. But how can...
Pattern analysis is a widely researched topic in team sports performance analysis, using information...
The scientific world has witnessed a significant paradigm shift in recent years: that the networks s...
Explaining how graph theory and social network analysis can be applied to team sports analysis, This...
In recent social network studies, exponential random graph models have been used comprehensively to ...
Many real-world systems can be represented as networks driven by discrete {em events}, each event id...
Today, many complex tasks are assigned to teams, rather than individuals. One reason for teaming up ...
In recent social network studies, exponential random graph (ERG) models have been used comprehensive...
Today, many complex tasks are assigned to teams, rather than individuals. One reason for teaming up ...
Pattern analysis is a well-established topic in team sports performance analysis, and is usually ce...
Many real-world systems can be represented as networks driven by discrete events, each event identif...
AbstractSince organizations are dynamic systems, they change over time. Communication within organiz...
International audienceThe traditional way of analyzing team sport performance has limitations in ter...
In order to deepen understanding of team processes in dynamic organizational contexts, we suggest th...
We asked how team dynamics can be captured in relation to function by considering games in the first...
AbstractThe dynamic communication network within teams affects the performance of teams. But how can...
Pattern analysis is a widely researched topic in team sports performance analysis, using information...
The scientific world has witnessed a significant paradigm shift in recent years: that the networks s...
Explaining how graph theory and social network analysis can be applied to team sports analysis, This...
In recent social network studies, exponential random graph models have been used comprehensively to ...
Many real-world systems can be represented as networks driven by discrete {em events}, each event id...
Today, many complex tasks are assigned to teams, rather than individuals. One reason for teaming up ...
In recent social network studies, exponential random graph (ERG) models have been used comprehensive...
Today, many complex tasks are assigned to teams, rather than individuals. One reason for teaming up ...
Pattern analysis is a well-established topic in team sports performance analysis, and is usually ce...
Many real-world systems can be represented as networks driven by discrete events, each event identif...
AbstractSince organizations are dynamic systems, they change over time. Communication within organiz...
International audienceThe traditional way of analyzing team sport performance has limitations in ter...
In order to deepen understanding of team processes in dynamic organizational contexts, we suggest th...
We asked how team dynamics can be captured in relation to function by considering games in the first...