The emergence of large-scale connectivity and synchronization are crucial to the structure,
function and failure of many complex socio-technical networks. Thus, there is great interest …

Evolutionary network analysis has found an increasing interest in the literature because of
the importance of different kinds of dynamic social networks, email networks, biological …

Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

This is the first comprehensive overview of the'science of science,'an emerging
interdisciplinary field that relies on big data to unveil the reproducible patterns that govern …

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …

Inspired by empirical studies of networked systems such as the Internet, social networks,
and biological networks, researchers have in recent years developed a variety of techniques …

The discovery and analysis of community structure in networks is a topic of considerable
recent interest within the physics community, but most methods proposed so far are …

Motivated by the fast‐growing need to compute centrality indices on large, yet very sparse,
networks, new algorithms for betweenness are introduced in this paper. They require O (n+ …

The availability of large data sets has allowed researchers to uncover complex properties
such as large-scale fluctuations and heterogeneities in many networks, leading to the …

How do real graphs evolve over time? What are normal growth patterns in social,
technological, and information networks? Many studies have discovered patterns in static …