Nowadays, centrality measures from social network analy-sis are being used for discovering underlying relationships among different actors or elements whose connections can be modeled as a graph. Their application in the educational domain has not been studied thoroughly, but the informa-tion that these metrics provide, as well as their predictive power, justify their use to model the students ’ social profile, as this paper shows
Social networking has been one of the widely used approaches in the communication technology movemen...
With its wide range of applications, social network analysis has found its place in a number of scie...
We perform here a comparative study on the behaviour of real and synthetic social networks with resp...
Complex networks represent an extensive variety of systems in nature and human interactions. Network...
In order to understand and represent the importance of nodes within networks better, most of the stu...
The impacts of student networks (i.e., peer groups) on education outcomes (e.g., performance, droppi...
As the field of learning analytics continues to mature, there is a corresponding evolution and sophi...
The concept of centrality is often invoked in social network analysis, and diverse indices have been...
Studies in Computational Intelligence, Vol 424 entitled: Complex NetworksTechnical Session 1: Networ...
This volume is an important complement to Wasserman and Faust\u27s Social Network Analysis: Methods ...
In the area of network analysis, centrality metrics play an important role in defining the “most imp...
The concept of centrality is often invoked in social network analysis, and diverse indices have been...
Social networks have increased in popularity and play an important role in people\u27s life nowadays...
Abstract Existing centrality measures for social network analysis suggest the im-portance of an acto...
Centrality and influence spread are two of the most studied concepts in social network analysis. In ...
Social networking has been one of the widely used approaches in the communication technology movemen...
With its wide range of applications, social network analysis has found its place in a number of scie...
We perform here a comparative study on the behaviour of real and synthetic social networks with resp...
Complex networks represent an extensive variety of systems in nature and human interactions. Network...
In order to understand and represent the importance of nodes within networks better, most of the stu...
The impacts of student networks (i.e., peer groups) on education outcomes (e.g., performance, droppi...
As the field of learning analytics continues to mature, there is a corresponding evolution and sophi...
The concept of centrality is often invoked in social network analysis, and diverse indices have been...
Studies in Computational Intelligence, Vol 424 entitled: Complex NetworksTechnical Session 1: Networ...
This volume is an important complement to Wasserman and Faust\u27s Social Network Analysis: Methods ...
In the area of network analysis, centrality metrics play an important role in defining the “most imp...
The concept of centrality is often invoked in social network analysis, and diverse indices have been...
Social networks have increased in popularity and play an important role in people\u27s life nowadays...
Abstract Existing centrality measures for social network analysis suggest the im-portance of an acto...
Centrality and influence spread are two of the most studied concepts in social network analysis. In ...
Social networking has been one of the widely used approaches in the communication technology movemen...
With its wide range of applications, social network analysis has found its place in a number of scie...
We perform here a comparative study on the behaviour of real and synthetic social networks with resp...