The paper presents an updated theoretical framework aimed at unifying the fundamental
forces of nature. The DLSFH integrates principles from several advanced physics theories …

Complex networks make an enticing research topic that has been increasingly attracting
researchers from control systems and various other domains over the last two decades. The …

Spatial entropy is not measurable from areas of square grids only. In case of spatial
networks or distributions of circular and/or directional data, Shannon-based formulas of …

We present a multi-level formation model for complex software systems. The previous works
extract the software systems to software networks for further studies, but usually investigate …

In this thesis, we address problems in complex networks using the methods of statistical
mechanics and information theory. We particularly focus on the thermodynamic …

In order to provide a new measure for the structural characteristics of complex networks, a
new shortest paths-based entropy (SPE) is proposed to describe the influence of degree …

Cycles have many interesting properties and are widely studied in many disciplines. In some
areas, maximising the counts of $ k $-cycles are of particular interest. A natural candidate for …

Abstract Information-centric Networks (ICNs) offer a promising paradigm for the future
Internet to cope with an ever increasing growth in data and shifts in access models. Different …

We propose an entropy measure for the analysis of chaotic attractors through recurrence
networks which are un-weighted and un-directed complex networks constructed from time …

The dodecahedron linear string field hypothesis posits that fundamental particles, such as
quarks, are composed of strings arranged in a dodecahedral geometry. Each quark flavor …