In this work, we adopt a cooperative game theoretic approach in order to tackle the social
ridesharing (SR) problem, where a set of commuters, connected through a social network …

Game-theoretic centrality is a flexible and sophisticated approach to identify the most
important nodes in a network. It builds upon the methods from cooperative game theory and …

One of the fundamental research challenges in network science is centrality analysis, ie,
identifying the nodes that play the most important roles in the network. In this article, we …

In many real-world settings, the structure of the environment constrains the formation of
coalitions among agents. These settings can be represented by characteristic function …

Betweenness centrality measures the ability of different nodes to control the flow of
information in a network. In this article, we extend the standard definition of betweenness …

This column discusses the problem of identifying key members of a terrorist network. Game-
theoretic centrality measures offer solutions but also raise computational challenges. The …

Networked microgrids (MGs) have several advantages over individual MGs such as
reliability improvement and cost reduction. To promote the mutual connection of individual …

Coalition formation typically involves the coming together of multiple, heterogeneous, agents
to achieve both their individual and collective goals. In this article, we focus on a special …

Proprietary data is a valuable asset used to develop predictive algorithms that benefit a wide
range of users, including customers, business owners, and decision-makers. Consequently …

To make ML systems deployment ready, one of the prominent challenges is to debug the
performance issues of the trained ML models. This can be done by associating the issues …