Real networks exhibit heterogeneous nature with nodes playing far different roles in
structure and function. To identify vital nodes is thus very significant, allowing us to control …

Millions of people use Twitter daily, posting thousands of messages and interacting with
their peers. This research aims to evaluate and classify the predictive potential of the Twitter …

Governments may have the capacity to flood social media with fake news, but little is known
about the use of flooding by ordinary voters. In this work, we identify 2107 registered US …

The whole frame of interconnections in complex networks hinges on a specific set of
structural nodes, much smaller than the total size, which, if activated, would cause the …

This paper draws on network science and uses a Social Network Analysis to improve our
understanding of how the implementation of no-till in England is influenced by farmers' …

Identifying influential nodes in dynamical processes is crucial in understanding network
structure and function. Degree, H-index and coreness are widely used metrics, but …

Centrality is one of the most studied concepts in social network analysis. There is a huge
literature regarding centrality measures, as ways to identify the most relevant users in a …

The ongoing rapid expansion of the Word Wide Web (WWW) greatly increases the
information of effective transmission from heterogeneous individuals to various systems …

Coordination among social animals requires rapid and efficient transfer of information
among individuals, which may depend crucially on the underlying structure of the …

In the current era of automation, machines are constantly being channelized to provide
accurate interpretations of what people express on social media. The human race nowadays …