Publication Date:
2018
abstract:
Networks are a convenient and powerful tool for modeling many real world processes, crossing different industrial, sociological and scientific areas, that exhibit some sort of interaction, called edge or link, between different target entities, called nodes. Studying the features characterizing the networks can unveil statistical and mathematical properties of the underlying processes and ultimately help in making predictions about network׳s structure, dynamics and behavior. In this article, we will focus in defining the network model as a graph and we provide basic measures to describe network topology and structural properties
Iris type:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Assortativity; Centrality; Degree distribution; Graph theory; Network analysis; Network communities; Network structural properties; Network topology; Small world networks
List of contributors:
Manco, Giuseppe; Ritacco, Ettore; Guarascio, Massimo
Book title:
Reference Module in Life Sciences