Betweenness is a well-known centrality measure that ranks the nodes according to their
participation in the shortest paths of a network. In several scenarios, having a high …

Network centrality plays an important role in many applications. Central nodes in social
networks can be influential, driving opinions and spreading news or rumors. In hyperlinked …

To restrain the spread of harmful information is crucial for the healthy and sustainable
development of social networks. We address the problem of restraining the spread of …

This paper considers the problem of network structure manipulation in the absence of
information on the global network topology. In particular, the problem of removing some of …

This paper considers the problem of network structure manipulation in the absence of a
central coordinator that collects network information and makes decisions. The primary focus …

We approach the development of models and control strategies of susceptible-infected-
susceptible (SIS) epidemic processes from the perspective of marked temporal point …

Robustness is one of the most important properties to consider when designing networked
infrastructure systems such as the road network, airline network, and the electric power grid …

Limiting the diffusion of information in social networks is important in viral marketing and
computer security. To achieve this, existing works aim to prevent the diffusion of information …

Patterns of event propagation in online social networks provide novel insights on the
modeling and analysis of information dissemination over networks and physical systems …

The propagation of innovations in social networks has been widely studied recently.
Previous research mostly focuses on either maximizing the influence by identifying a set of …