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

Network Topology

Giuseppe Manco;Ettore Ritacco;Massimo Guarascio
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
2018
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
978-0-12-809633-8
Assortativity
Centrality
Degree distribution
Graph theory
Network analysis
Network communities
Network structural properties
Network topology
Small world networks
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/345570
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