Multilayer networks is a rising topic in Network Science which characterizes the structure
and the function of complex systems formed by several interacting networks. Multilayer …

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 …

Recently, data mining through analyzing the complex structure and diverse relationships on
multi-network has attracted much attention in both academia and industry. One crucial …

With the world-wide development of 2019 novel coronavirus, although WHO has officially
announced the disease as COVID-19, one controversial term-“Chinese Virus” is still being …

Social networks are playing a vibrant role in spreading information among its users. With the
ongoing boom in technology, social networks are becoming very popular nowadays and are …

This book explores the anti-Islamic turn and expansion of the far right in Western Europe,
North America and beyond from 2001 and onwards. Driven by terror attacks and other moral …

Selecting seed nodes (most influential nodes) in networks has attracted attention due to
seed nodes' ability to influence and spread information. Seed nodes are essential to …

In recent years, online social media has flourished, and a large amount of information has
spread through social platforms, changing the way in which people access information. The …

A key graph mining primitive is extracting dense structures from graphs, and this has led to
interesting notions such as k-cores which subsequently have been employed as building …

Coupled information diffusion in complex networks has been widely studied in recent years.
Nevertheless, current research mainly focuses on the interaction between each information …