Social networks are structures that aim to represent the relationships among the actors of a society. In the multiagent model, these networks depict the dependencies among the agen...
This paper aims at discovering community structure in rich media social networks, through analysis of time-varying, multi-relational data. Community structure represents the laten...
Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru...
A key challenge of data-driven social science is the gathering of high quality multi-dimensional datasets. A second challenge relates to design and execution of structured experim...
Internet should be used to reduce distances and bring people virtually closer. Using ICT, many people has overcome the problem of digital divided [1] thanks to support of informat...
Flavio Corradini, Alberto Polzonetti, Romeo Pruno,...
This paper outlines an aspect-oriented approach to support separation and modularization of crosscutting concerns in multi-agent systems. Aspects as abstractions to capture social ...
Carla T. L. L. Silva, Jaelson Brelaz de Castro, Jo...