Attributed subgraph matching is a powerful tool for explorative mining of large attributed
networks. In many applications (eg, network science of teams, intelligence analysis, finance …

Academic team formulation is one of the most critical and fundamental issues in team
research. Inspired by the Liebig's metaphor, we formulate an academic team by a barrel …

Team formation (TF) in social networks exploits graphs (ie, vertices= experts and edges=
skills) to represent a possible collaboration between the experts. These networks lead us …

This paper presents a simple and mighty metaheuristic algorithm, Jaya, which is applied to
solve the team formation (TF) problem and it is a very fundamental problem in many …

The PART-WHOLE relationship routinely finds itself in many disciplines, ranging from
collaborative teams, crowdsourcing, autonomous systems to networked systems. From the …

Combining several binary image operators, each one based on different windows, has
proven to be an effective way to produce operators with better performance than designing …

This dissertation explores and investigates the interplay between processes of improvisation
and trust within collectives composed of human and synthetic agents. Observations and …

Networks extracted from multiple sources and platforms or from multiple instances of
identical domains form the multi-network, such as large social networks collected from …

Recent work on the topic of Interactive Optimization has explored opportunities for exploiting
human perceptual and cognitive capabilities within frameworks traditionally associated with …

Teams are increasingly indispensable to achievements in any organization. Despite the
organizations substantial dependency on teams, fundamental knowledge about the conduct …