Abstract The geospatial characteristics of transportation networks structurally constrain their features, and as a result, analysis methods designed for social typically fail to capture useful or make informative comparisons. In the case road networks, natural constraints on edge distribution weaken ability standard community detection algorithms find clusters nodes that align with neighborhood...

Abstract Community structure is a commonly observed feature of real networks. The term refers to the presence in network groups nodes ( communities ) that high internal connectivity, but are poorly connected between each other. Whereas issue community detection has been addressed several works, problem validating partition as good for received considerably less attention and remains an open iss...

A remarkable approach for grasping the relevant statistical features of real networks with help random graphs is offered by hyperbolic models, centred around idea placing nodes in a low-dimensional space, and connecting node pairs probability depending on distance. It widely appreciated that these models can generate are small-world, highly clustered scale-free at same time; thus, reproducing m...

One of the most prominent properties in real-world networks is the presence of a community structure, i.e. dense and loosely interconnected groups of nodes called communities. In an attempt to better understand this concept, we study the relationship between the strength of the community structure and the network transitivity (or clustering coefficient). Although intuitively appealing, this ana...