Many real world systems across multiple disciplines, like social, biological and information
networks can be described as complex networks, ie, assemblies of nodes and edges having …

Core periphery structures exist naturally in many complex networks in the real-world like
social, economic, biological and metabolic networks. Most of the existing research efforts …

Intermediate-scale (or “meso-scale'') structures in networks have received considerable
attention, as the algorithmic detection of such structures makes it possible to discover …

Meso-scale structures are network features where nodes with similar properties are grouped
together instead of being treated individually. In this work, we provide formal and …

Intermediate-scale (or “meso-scale'') structures in networks have received considerable
attention, as the algorithmic detection of such structures makes it possible to discover …

Abstracting entities and their interactions as nodes and links, networks are a general
representation for modelling and studying complex systems. Modelling relational structures …

In this chapter, we explore multilayer networks in the context of different coupling schemes
and understand the applicability of various centrality measures to these networks. Centrality …

Most real world networks like social networks, protein-protein interaction networks, etc. can
be represented as graphs which tend to include densely connected subgroups or modules …

Graphs have emerged as powerful representations of data, from obvious examples such as
social networks, to proximity graphs of high-dimensional metric data. Many of such real …

Multiplex networks are generalized network structures that are able to describe networks in
which the same set of nodes are connected by links that have different connotations …