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Scheda Riassuntiva
Anno Accademico 2019/2020
Tipo incarico Dottorato
Insegnamento 054984 - ANALYSIS OF COMPLEX NETWORKS: THEORY AND APPLICATIONS
Docente Piccardi Carlo
Cfu 5.00 Tipo insegnamento Monodisciplinare

Corso di Dottorato Da (compreso) A (escluso) Insegnamento
MI (1380) - INGEGNERIA DELL'INFORMAZIONE / INFORMATION TECHNOLOGYAZZZZ054984 - ANALYSIS OF COMPLEX NETWORKS: THEORY AND APPLICATIONS

Programma dettagliato e risultati di apprendimento attesi

Aim of the course

A network is a set of agents pairwise connected by links. Despite the simplicity of this definition, the theoretical properties of networks are extremely rich and diversified. Most notably, networks turn out to be extremely flexible in modelling a broad variety of phenomena characterized by a large number of interconnected elementary units: social networks, the Internet and the WWW, sensor networks, ecological communities, biochemical systems, energy transportation networks, economic and financial networks, are just but a few examples. Since networks permeate almost every conceivable discipline, the study of “network science” is becoming a crucial component of modern scientific education. The course is aimed at illustrating the fundamental theoretical notions as well as a number of applications in specific fields.

Program

Complex networks (structural properties):

  • Distance, diameter, clustering, degree distribution
  • Network models: random, scale-free, small-world
  • Centrality measures: closeness, betweenness, PageRank
  • Community and core-periphery analysis
  • Robustness: resilience and tolerance to failure

Dynamical systems on networks:

  • Robustness: failure cascades
  • Spreading processes in networks
  • Networks of dynamical systems
  • Collective dynamics: consensus and synchronization

Seminars on network modelling and analysis in specific application fields (final list to be confirmed):

  • WWW and social media
  • Economics and finance
  • Epidemiology
  • Resilience of strategic infrastructures

Note Sulla Modalità di valutazione

The student will prepare a written report or an oral presentation (with slides) of a topic (paper, book chapter, etc) assigned by the teacher.


Intervallo di svolgimento dell'attività didattica
Data inizio
Data termine

Calendario testuale dell'attività didattica

October 6, 2020, 9.00-13.30: Complex networks (structural properties) (1)
October 7, 2020, 9.00-13.00: Complex networks (structural properties) (2)
October 8, 2020, 9.00-13.30: Complex networks (structural properties) (3) - Dynamical systems on networks (1)
October 13, 2020, 9.00-13.00: Dynamical systems on networks (2)
October 14, 2020, 9.00-13.00: Seminars (1)
October 15, 2020, 9.00-13.00: Seminars (2)


Bibliografia

Mix Forme Didattiche
Tipo Forma Didattica Ore didattiche
lezione
25.0
esercitazione
0.0
laboratorio informatico
0.0
laboratorio sperimentale
0.0
progetto
0.0
laboratorio di progetto
0.0

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese

Note Docente
schedaincarico v. 1.6.5 / 1.6.5
Area Servizi ICT
29/10/2020