Highly dynamic social networks, where connectivity continuously changes in time, are becoming more and more pervasive. Knowledge mobilization, which refers to the use of knowledge toward the achievement of goals, is one of the many examples of dynamic social networks. Despite the wide use and extensive study of dynamic networks, their temporal component is often neglected in social network analysis, and statistical measures are usually performed on static network representations. As a result, measures of importance (like betweenness centrality) typically do not reveal the temporal role of the entities involved. Our goal is to contribute to fill this limitation by proposing a form of temporal betweenness measure (foremost betweenness).

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static network representations statistical measures dynamic social networks importance temporal betweenness measure foremost betweenness social network analysis temporal component connectivity

Paola Flocchini,Amir Afrasiabi Rad,Joanne Gaudet,.Computation and analysis of temporal betweenness in a knowledge mobilization network. 4 (1),.

Paola Flocchini,Amir Afrasiabi Rad,Joanne Gaudet,"Computation and analysis of temporal betweenness in a knowledge mobilization network" 4

Paola Flocchini,Amir Afrasiabi Rad,Joanne Gaudet,"Computation and analysis of temporal betweenness in a knowledge mobilization network"