CCEGN 2018 Critical and Collective Effects in Graphs and Networks

Eindhoven | June 18 – 22, 2018

NETWORKS Network Science Institute

About

In the spirit of the first and second CCEGN workshops, the third interdisciplinary workshop on "Critical and Collective Effects in Graphs and Networks" (CCEGN 2018) continues to explore the emerging topics at the interface between random graph theory and network science. The third edition of CCEGN will bring together top researchers in mathematics, statistics, and physics that work on random graphs, null models of real networks, and theoretical foundations of network science. The workshop aims at facilitating the transfer of ideas, insights and interdisciplinary approaches to tackles new and exciting problems in random graphs and real networks. There will be open problem sessions and ample opportunity for discussion. Topics include:

  • Graphons and graph limits
  • Statistics of subgraphs and high-order structures
  • Random geometric graph models
  • Maximum entropy graph ensembles
  • Diffusion processes in random graphs
  • Percolation and phase transitions in random graphs
  • Consistent estimators of model parameters


Organizers

  • Remco van der Hofstad (Eindhoven University of Technology, The Netherlands)
  • Dmitri Krioukov (Northeastern University, USA)
  • Pim van der Hoorn (Northeastern University, USA)
  • Andrey Raigorodsky (Moscow Institute of Physics and Technology, Russia)

Speakers

Program

Monday 18-06         Chair: Remco van der Hofstad

09.30 – 09.50

Welcome and registration

 

09.50 – 10.00

Opening

Remco van der Hofstad

10.00 – 11.00

Shlomo Havlin

Cascading Failures and Recovery in Complex Networks

11.00 – 11.30

Break

 

11.30 – 12.30

Sergey Dorogovtsev

Evolution of triangulations: Hausdorff and spectral dimensions, varying number of topological features

12.30 – 14.30

Lunch

 

14.30 – 15.30

Ginestra Bianconi

Emergent Hyperbolic Network Geometry and Frustrated Synchronization

15.30 – 16.00

Break

 

16.00 – 17.00

Piet Van Mieghem

Simplex Geometry of Graphs

 

Tuesday 19-06        Chair: Pim van der Hoorn

10.00 – 11.00

Olav Kallenberg

Representation and estimation problems for exchangeable and related arrays

11.00 – 11.30

Break

 

11.30 – 12.30

François Caron

Sparse graphs using exchangeable random measures: Models, properties and applications

12.30 – 14.30

Lunch

 

14.30 – 15.30

Viktor Veitch

Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data

15.30 – 16.00

Break

 

16.00 – 17.00

Marián Boguñá

Clustering induces a double percolation transition in heterogeneous complex networks

17.00 – 18.00

Alexander Gorsky

New critical and collective phenomena in exponential graphs

18.30 -

Conference dinner

 

 

Wednesday 20-06  Chair: Dimtri Krioukov

10.00 – 11.00

Tiago Peixoto

Reconstructing networks with heterogeneous and unknown errors

11.00 – 11.30

Break

 

11.30 – 12.30

Lasse Leskelä

Parameter estimators of sparse random intersection graphs with thinned communities

12.30 – 14.30

Lunch

 

14.30 – 15.30

Peter Mörters

Metastability of the contact process on evolving scale-free networks

15.30 – 16.00

Break

 

16.00 – 17.00

Nelly Litvak

Mean Field Analysis of Personalized PageRank with Implications for Local Graph Clustering

 

Thursday 21-06       Chair: Andrey Raigorodsky

10.00 – 11.00

Yuval Peres

Estimating the size of a graph from random walks and random walks on dynamical percolation

11.00 – 11.30

Break

 

11.30 – 12.30

Tobias Friedrich

Algorithms on and for Hyperbolic Random Graphs

12.30 – 14.30

Lunch

 

14.30 – 15.30

Gabor Lippner

Large scale curvature of graphs

15.30 – 16.00

Break

 

16.00 – 17.00

Diego Garlaschelli

Reconnecting statistical physics and combinatorics beyond ensemble equivalence

 

Friday 22-06            Chair: t.b.a.

10.00 – 11.00

Júlia Komjáthy

Weighted distances in geometric random graphs

11.00 – 11.30

Break

 

11.30 – 12.30

Frank den Hollander

Breaking of ensemble equivalence for complex networks

12.30 – 14.30

Lunch

 

14.30 – 15.30

Miklos Z. Racz

High-dimensional random geometric graphs

15.30 – 16.00

Break

 

16.00 – 17.00

Tobias Müller

Logic and random graphs

Registration

Please register using the link below. Registration is free. The deadline for registration is June 14, 2018. If you'd like to present a poster at the poster session, please email your poster title, author list, and short abstract to w.vanderhoorn@northeastern.edu by the registration deadline date.

Eventbrite Registration Page for CCEGN3.

Logistics

Venue

Eurandom
Department of Mathematics and Computer Science
Eindhoven University of Technology

De Groene Loper 5, 5612 AE EINDHOVEN, The Netherlands

Eurandom is located on the campus of Eindhoven University of Technology, in the MetaForum building, 4th floor. The university is located at 10 minutes walking distance from Eindhoven main railway station (take the exit north side and walk towards the tall building on the right with the sign TU/e).
Accessibility TU/e campus and map.


Travel

For those arriving by plane, there is a convenient direct train connection between Amsterdam Schiphol airport and Eindhoven. This trip will take about one and a half hour. For more detailed information, please consult the NS travel information pages.

Many low cost carriers also fly to Eindhoven Airport. There is a bus connection to the Eindhoven central railway station from the airport. (Bus route number 401) For details on departure times consult Public Transport.

The University can be reached easily by car from the highways leading to Eindhoven. For details: Route and map TU/e campus.


Sponsors

The workshop is co-sponsored by NETWORKS, NetSI and NWO.


The Netherlands Organisation for Scientific Research (NWO) ensures quality and innovation in science and facilitates its impact on society. Its main task is to fund scientific research at public research institutions in the Netherlands, especially universities.


NETWORKS is a large research program in The Netherlands that aims at bringing together algorithmics and stochastics to advance the mathematical theory of networks.


The Network Science Institute (NetSI) is a multi-disciplinary research community supporting innovative research and training in network science with the goal to understand networked systems by discovering the underlying principles, properties and purpose of their connectivity.


NWO NETWORKS Network Science Institute EURANDOM