• White Facebook Icon
  • White Instagram Icon
  • White Twitter Icon
  • White LinkedIn Icon

Communities in Networks

 

ComNets @ Networks 2021

A satellite of Networks 2021

July 01, 2021

Submission Deadline May 17, 2021

AANAN 

Agenda

JULY 1, 2021

08:30 - 08:40

Opening

08:40 - 09:20

Keynote Speaker 1

09:20 - 10:00

10:00 - 10:10

10:10 - 10:50

Oral Session 1

The Speakers

Mark Newman

University of Michigan USA

My group conducts research on the structure and function of networks, particularly social and information networks. Among other things, we've studied fundamental network properties such as degree distributions, centrality measures, assortative mixing, vertex similarity, and community structure, and made analytic or computer models of disease propagation, friendship formation, the spread of computer viruses, the Internet, and network navigation.

FOLLOW

  • Black Twitter Icon
  • Black LinkedIn Icon
tiago.png

Tiago Peixoto

Central European University Hungary

My research focuses on characterizing, identifying, and explaining large-scale patterns found in the structure and function of complex network systems  representing diverse phenomena with physicalbiologicaltechnological, or social origins using principled approaches from statistical physicsnonlinear dynamics and Bayesian inference.

FOLLOW

  • Black Twitter Icon
  • Black LinkedIn Icon

Martin Rosvall

Umea University Sweden

I study information flows through social and biological systems to comprehend their inner workings. By simplifying myriad network interactions into maps of significant information flows, we can address research questions about how diseases spread, plants respond to stress, and life distributes on Earth. Our goal is to generate reliable predictions and suggest successful strategies to secure a sustainable future.

martin.jpeg

FOLLOW

  • Black Twitter Icon
  • Black LinkedIn Icon

Renaud Lambiotte

University of Oxford UK

I have a PhD in physics from the Université libre de Bruxelles. After postdocs at ENS Lyon, Université de Liège, UCLouvain and Imperial College London, and a professorship in Mathematics at the University of Namur, I am currently associate professor at the Mathematical Institute of Oxford University. My main research interests are the modelling and analysis of processes taking place on large networks, with a particular focus on social and brain networks.

renaud.jpeg

FOLLOW

  • Black Twitter Icon
  • Black LinkedIn Icon
 
 

Agenda

JULY 1, 2021

Time Zone: Eastern Standard Time (EST)

08:30 - 08:40

Opening

08:40 - 09:20

Keynote Speaker - TIAGO PEIXOTO 

09:20 - 10:00

Keynote Speaker - MARTIN ROSVALL

10:00 - 10:10

Coffee Break

10:10 - 10:50

Keynote Speaker - RENAUD LAMBIOTTE

10:50 - 12:20

Oral Session 1

12:20 - 13:30

Lunch Break

13:30 - 15:00

Oral Session 2

15:00 - 15:40

Keynote Speaker - MARK NEWMAN

15:40 - 15:45

Coffee Break

15:45 - 16:25

Lightning Session

16:25 - 16:30

Closing Session

Community structure is one of the most relevant features encountered in numerous real-world applications of networked systems. Despite the tremendous effort of a large interdisciplinary community of scientists working on this subject over the past few years to characterize, model, and analyze communities, more investigations are needed in order to better understand the impact of their structure and dynamics on networked systems. Therefore, the primary goal of this satellite workshop is to demonstrate the cutting-edge research advances on community structures in networks, in order to provide a landscape of research progresses and application potentials in related areas. 

Papers ranging from a broad nature, to various aspects of community structure with strong algorithmic innovations, but also application-oriented works are solicited. 

Topics relevant to this satellite session include, but are not limited to, the following:

 

 

Models of Communities 

Embedding Models of Communities

Evolution/Temporal Communities 

Dynamic and/of Communities

Community Detection

Communities in Uncertain Data

Entropy Metrics for Communities

Visual Representation of Communities

Parallel Algorithms for Communities

Hierarchy and Ego-Networks 

Communities and Sampling 

Communities and Controllability

Communities and Synchronization

Communities and Machine Learning

Communities and Resilience

Communities and Link Prediction

Communities in Social Networks

Communities in Multiplex

Communities in Economics & Finance

Communities in Epidemics

Communities in Rumor Spreading 

Communities in Mobile Networks 

Communities in Biological Networks

Communities in Brain

Communities in Technological Networks

 

CONTRIBUTION

Extended Abstracts about published or unpublished research (2 to 4 pages including references). They must follow the BioMed Central article template

 

PUBLICATION

 

Selected contributions will be invited to submit an extended version to a special issue of Applied Network Science edited by Springer

SUBMISSION WEBSITE Easy Chair

 

REGISTRATION Networks 2021

 

01

04

200

DAY
SPEAKERS
PARTICIPANTS

Organizers

Hocine Cherifi University of Burgundy, France

Gergely Palla Eötvös Loránd University, Hungary

Boleslaw Szymanski Rensselaer Polytechnic Institute, Troy, NY, USA

Organizing Committee

Brendan Cross Rensselaer Polytechnic Institute, Troy, NY, USA

Pèter Pollner Eötvös Loránd University, Hungary

Stephany Rajeh University of Burgundy, France