COMPLEX NETWORKS: STRUCTURE AND DYNAMICS
Scuola Superiore di Catania 2010-2011
Instructor: V. Latora
Teaching Assistants: V. Nicosia, R. Sinatra
This is an introductory course on the basic methods of network theory
to characterize the structural properties of a network and to study
the processes taking place over the network. The course is for
undergraduates in physics, enginnering, mathematics, biology and
computer science of Scuola Superiore di Catania who want to learn the
major ideas and the new results achieved in one of the newest and
hottest interdisciplinary research fields. The course is organized in
10 lectures of 3 hours each. In each lecture, the theory is
supplemented with examples and applications, databases of real world
networks, and numerical algorithms. Some of the lectures are organized
in 2 hours theory, plus 1 hour recitation consisting in the discussion
(and reproduction of the results) of one significant research article
from the literature.
Lecture Notes A ;
Lecture Notes B
- LECTURE 1: Social networks. Centrality and centralization
- LECTURE 2: Graph Theory: definitions and measures
Material
- Complex networks: Structure and dynamics.
S. Boccaletti, V. Latora, Y. Moreno, M. Chavez, D.-U. Hwang, Physics Reports 424, 175 (2006).
- Physarum solver: A biologically inspired method of road-network navigation.
A. Teroa, R. Kobayashia, T. Nakagaki, Physica A363, 115 (2006).
- LECTURE 3: ER random graphs
- LECTURE 4: Small-world networks and random graphs with given Pk
- LECTURE 5: Models of network growth
Material
-
Citation Statistics from 110 Years of Physical Review
S. Redner, Physics Today 58, 49 (2005).
- Emergence of scaling in random networks
A.-L. Barabasi, R. Albert, Science 286, 509â512 (1999)
-
Topology of Evolving Networks: Local Events and Universality
R. Albert, A.L. Barabasi, Phys. Rev. Lett. 85, 5234 (2000).
-
Scale-free Nets from Varying Vertex Intrinsic Fitness
G. Caldarelli, A. Capocci, P. De Los Rios, M. A. Munoz, Phys. Rev. Lett. 89, 258702 (2002).
-
Mean-field theory for scale-free random networks
A.L. Barabasi, R. Albert, H. Jeong, Physica A 272, 173 (1999).
-
Connectivity of Growing Random Networks
P.L. Krapivsky, S. Redner, F. Leyvraz, Phys. Rev. Lett. 85, 4629 (2000).
- LECTURE 6: Degree-degree correlations
- LECTURE 7: Motifs. Community structures
Material
-
Network motifs in the transcriptional regulation network of Escherichia coli
S Shen-Orr, R Milo, S Mangan & U Alon, Nature Genetics, 31:64-68 (2002).
- Network Motifs: Simple Building Blocks of Complex Networks
R Milo, S Shen-Orr, S Itzkovitz, N Kashtan, D Chklovskii & U Alon, Science 298:824-827 (2002).
- Finding and evaluating community structure in networks
M. E. J. Newman and M. Girvan, Phys. Rev. E 69, 026113 (2004).
- Community detection in graphs
S. Fortunato, Phys. Rep. 486, 75â174 (2010).
- Comparing community structure identification
Leon Danon, Albert Dıaz-Guilera, Jordi Duch and Alex Arenas, JStat. P09008 (2005).
- LECTURE 8: Percolation
Material
- Attack and error tolerance of complex networks,
R. Albert, H. Jeong, and A.L. Barabasi, Nature 406, 378 (2000).
- Resilience of the internet to random breakdowns,
R. Cohen, K. Erez, D. ben Avraham, and S. Havlin, Phys. Rev. Lett. 85, 4626 (2000).
-
Breakdown of the internet under intentional attack,
R. Cohen, K. Erez, D. ben Avraham, and S. Havlin, Phys. Rev. Lett. 86, 3682 (2001).
- Percolation critical exponents in scale-free networks,
R. Cohen, D. ben Avraham, and S. Havlin, Phys. Rev. E66, 36113 (2002).
- Percolation in directed scale-free networks,
N. Schwartz, R. Cohen, D. ben Avraham, A.-L. Barabasi and S. Havlin, Phys. Rev. E66, 015104(R) (2002).
- Vulnerability and protection of critical infrastructures,
V. Latora and M. Marchiori, Phys. Rev. E71, 015103(R) (2005).
- LECTURE 9: Random Walks
Material
- Random Walks on Complex Networks,
J.D. Noh and H. Rieger, Phys. Rev. Lett. 92, 118701 (2004).
- Entropy rate of diffusion processes on complex networks,
Jesus Gomez-Gardenes and Vito Latora, Phys. Rev. E 78, 065102(R) (2008).
- Maximal-entropy random walks in complex networks with limited information,
Roberta Sinatra, Jesus Gomez-Gardenes, Renaud Lambiotte, Vincenzo Nicosia, and Vito Latora, Phys. Rev. E 83, 030103(R) (2011).
- LECTURE 10: Models of disease spreading
Material
- The web of human sexual contacts,
F. Liljeros, C. R. Edling, L. A. N. Amaral, H. E. Stanley, and Y, Aberg, Nature 411, 907 (2001).
- Epidemic spreading in scale-free nets,
R. Pastor-Satorras and A. Vespignani. Phys. Rev. Lett. 86, 3200 (2001).
- Epidemic dynamics and endemic states in complex nets,
R. Pastor-Satorras and A. Vespignani. Phys. Rev. E63, 066117 (2001)
- Epidemic dynamics in finite size scale-free networks,
R. Pastor-Satorras and A. Vespignani, Phys. Rev. E65, 035108(R) (2002)
- Spreading of sexually transmitted diseases in heterosexual populations,
J. Gomez-Gardenes, V. Latora, Y. Moreno, E.V. Profumo, PNAS 105, 1399 (2008)
- RECITATION 1: Scale-free degree distributions
- RECITATION 2: Bonacich eigenvector centrality
- RECITATION 3: Sampling of ER graphs
Material
- Slides and datasets
ER graphs:
< k >=0.9,
< k >=1.1,
< k >=1.5
- Scientific collaboration networks - I. Network construction and fundamental results
M.E.J. Newman, Phys. Rev. E, 64, 016131 (2001).
- Scientific collaboration networks - II. Shortest paths, weighted networks, and centrality
M.E.J. Newman, Phys. Rev. E, 64, 016132.
- RECITATION 4: Characteristic path length and clustering coefficient
- RECITATION 5: Sampling random graphs with given Pk
- RECITATION 6: Networks of motifs from sequences of symbols
- PROJECTS
Extreme Events using Random Walks
(N. 1)
- Background: Scaling Breakdown in Flow Fluctuations on Complex Networks,
Sandro Meloni, Jesus Gomez-Gardenes, Vito Latora, and Yamir Moreno, Phys. Rev. Lett. 100, 208701 (2008).
- Main paper: Extreme Events on Complex Networks,
Vimal Kishore, M. S. Santhanam, and R. E. Amritkar, Phys. Rev. Lett. 106, 188701 (2011).
Networks of motifs from proteomes
Evolutionary games on graphs
(N. 3)
- Background Evolutionary dynamics of social dilemmas in structured heterogeneous populations,
F.C. Santos, J.M. Pacheco, and T. Lenaerts, PNAS 103, 3490-3494 (2006).
- Main paper A: Evolution of cooperation without reciprocity
R.L. Riolo, M.D. Cohen, and R. Axelrod, Nature 414, 441-443 (2001) and notes for extending the model.
- Main paper B: Emergent Hierarchical Structures in Multiadaptive Games,
Sungmin Lee, Petter Holme, and Zhi-Xi Wu, Phys. Rev. Lett. 106, 028702 (2011).
Time Walkers
Patterns of cooperation
Influence dynamics for community detection
Entropic origin of disassortativity
Presentation of projects 4-7
Source C for recitations
So What is This About?
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