7:00-17:00 - Registration - Scarlet Oak Lounge

8:30 - 17:00 - NetSci School - Silver Room

Tuesday May 28th, 2019

8:30-10:00 - Sidney Redner - Growth processes, rate equations and voter models

**Sidney Redner**

**-**Professor, Santa Fe Institute

**1. Equivalence of product kernel aggregation and the Erdos-Renyi random network**

A) Kinetic Approach for Growing Networks

A) Kinetic Approach for Growing Networks

2. Rate equation formulation for the random recursive tree

3. Preferential attachment networks:

a. Sublinear, superlinear, and linear attachment rates

b. The redirection algorithm for preferential attachment networks

4. Emergent modular networks

5. Network densification by node copying

**Bio**

Sid Redner received an A.B. in physics from the University of California, Berkeley in 1972 and a Ph.D. in Physics from MIT in 1977. After a postdoctoral year at the University of Toronto, Sid joined the physics faculty at Boston University in 1978. During his 36 years at BU, he served as Acting Chair during two separate terms and also served as Departmental Chair. Sid has been a Visiting Scientist at Schlumberger-Doll Research in the mid 80's, the Ulam Scholar at LANL in 2004, and a sabbatical visitor at Université Paul Sabatier in Toulouse France and at Université Pierre-et-Marie-Curie in Paris.

Sid's research interests lie broadly in non-equilibrium statistical physics and its applications to a variety of phenomena. In recent years, he has worked extensively on the structure of complex networks, where he has developed new models and new methods to elucidate network structures. He has also devoted considerable effort to formulate and solve physics-based models of social dynamics. He continues to investigate problems of phase-ordering kinetics and has advanced our understanding of zero-temperature coarsening in Ising and Potts models. Sid has an enduring interest in diffusion processes and their applications in the natural world and in stochastic transport processes in disordered porous media. As part of this latter line of research, he investigates fundamental aspects of first-passage processes.

Sid has published more than 250 articles in major peer-reviewed journals, as well as two books: the monograph A Guide to First-Passage Processes (Cambridge Univ. Press, 2001) and the graduate text, jointly with P. L. Krapivsky and E. Ben-Naim, A Kinetic View of Statistical Physics (Cambridge Univ. Press, 2010). He also a member of the Editorial Board for the Journal of Informetrics, an Associate Editor for the Journal of Statistical Physics, and a Divisional Associate Editor for Physical Review Letters.

10:00-10:30 - Coffee Break

8:30-10:00 - Sidney Redner - Growth processes, rate equations and voter models

**Sidney Redner**

**-**Professor, Santa Fe Institute

**B) The Voter Model**

Growth processes, rate equations and voter models

Growth processes, rate equations and voter models

1. Elementary introduction: the consensus time, the fixation probability

2. Solution on the complete graph and the complete bipartite graph

3. The voter model on complex networks: fast consensus and the fixation probability

Bio

Bio

Sid Redner received an A.B. in physics from the University of California, Berkeley in 1972 and a Ph.D. in Physics from MIT in 1977. After a postdoctoral year at the University of Toronto, Sid joined the physics faculty at Boston University in 1978. During his 36 years at BU, he served as Acting Chair during two separate terms and also served as Departmental Chair. Sid has been a Visiting Scientist at Schlumberger-Doll Research in the mid 80's, the Ulam Scholar at LANL in 2004, and a sabbatical visitor at Université Paul Sabatier in Toulouse France and at Université Pierre-et-Marie-Curie in Paris.

Sid's research interests lie broadly in non-equilibrium statistical physics and its applications to a variety of phenomena. In recent years, he has worked extensively on the structure of complex networks, where he has developed new models and new methods to elucidate network structures. He has also devoted considerable effort to formulate and solve physics-based models of social dynamics. He continues to investigate problems of phase-ordering kinetics and has advanced our understanding of zero-temperature coarsening in Ising and Potts models. Sid has an enduring interest in diffusion processes and their applications in the natural world and in stochastic transport processes in disordered porous media. As part of this latter line of research, he investigates fundamental aspects of first-passage processes.

Sid has published more than 250 articles in major peer-reviewed journals, as well as two books: the monograph A Guide to First-Passage Processes (Cambridge Univ. Press, 2001) and the graduate text, jointly with P. L. Krapivsky and E. Ben-Naim, A Kinetic View of Statistical Physics (Cambridge Univ. Press, 2010). He also a member of the Editorial Board for the Journal of Informetrics, an Associate Editor for the Journal of Statistical Physics, and a Divisional Associate Editor for Physical Review Letters.

12:15 - 13:30 - Lunch Break

13:30-15:00 - Emma Towlson - Network Neuroscience: Concepts, methods, and applications

**Emma Towlson**

**-**Researcher in the Center for Complex Network Research (CCNR)

**An introduction to network-based approaches to understanding brain structure and function, with a focus on application.**

Network Neuroscience: Concepts, methods, and applications

Network Neuroscience: Concepts, methods, and applications

I'll give an overview of the field - assumptions, approaches, findings across species, different data types, scales and levels. I’ll define various measures, and describe how they must be adapted for and interpreted in the context of the brain. This will include a number of case studies. I’ll talk about controllability, and the challenge and opportunity of integrating diverse data types.

Bio

Bio

I am a researcher in the Center for Complex Network Research (CCNR), with interests in the emerging field of Network Neuroscience. I have a Masters in Mathematics and Physics from the University of Warwick (2011), and received my PhD from the University of Cambridge (2015). My expertise lies in investigating the topology and organisational principles of various kinds of brain networks, from C. elegans to mouse to human. I am currently working on applying and adapting techniques from network control theory to probe neuronal or near-neuronal level wiring diagrams from smaller organisms. I co-instruct Phys 5116: Complex Networks alongside Prof. Albert-László Barabási, and am invested in bringing Network Science approaches to broader audiences and educational settings.

15:00 - 15:30 Coffee Break

15:30-17:00 - Vittoria Colizza - Epidemic modeling and temporal networks

**Vittoria Colizza**

**- Research Director, INSERM & Sorbonne Universite**

**Epidemic modeling and temporal networks**

From homogeneous mixing to heterogeneous and temporal networks, we will discuss the challenges of modeling infectious disease epidemics, spanning from theoretical approaches to case studies informing public health decisions.

Topics Covered:

-infectious diseases

-modeling infectious diseases

-threshold conditions, from homogeneous mixing to static networks; heterogeneous mean-field, Markov-chain approach

-temporal networks: examples and relevance to infectious diseases

-applicability of homogeneous mixing for epidemics on temporal networks

-epidemic threshold in a generic temporal network

-time aggregation, and relation between discrete and continuous networks

-application to case studies of livestock infections

-increasing realism: link-dependent transmission, heterogeneity of the recovery rate

-application to a case study of hospital-associated infections

**Bio**

Vittoria Colizza completed her undergraduate studies in Physics at the University of Rome Sapienza, Italy, in 2001 and received her PhD in Statistical and Biological Physics at the International School for Advanced Studies in Trieste, Italy, in 2004. She then spent 3 years at the Indiana University School of Informatics in Bloomington, IN, USA, first as a post-doc and then as a Visiting Assistant Professor. In 2007 she joined the ISI Foundation in Turin, Italy, where she started a new lab after being awarded a Starting Independent Career Grant in Life Sciences by the European Research Council Ideas Program (more info on the EpiFor project webpage). In 2011 Vittoria joined the Inserm (French National Institute for Health and Medical Research) in Paris where she now leads the EPIcx lab working on the characterization and modeling of the spread of emerging infectious diseases, by integrating methods of complex systems with statistical physics approaches, computational sciences, geographic information systems, and mathematical epidemiology. In 2017 she obtained the French academic degree HDR (Habilitation a Diriger des Recherches), and was promoted Director of Research at Inserm.

8:30 17:30 - Satellite Sessions

10:00 - 10:30 Coffee Break - Livak Fireplace Lounge

12:15 - 13:45 Lunch Break (on your own)

15:00 - 15:30 Coffee Break - Livak Fireplace Lounge

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