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Communities in Networks
ComNets @ NetSci 2022
A satellite of NetSci 2022
July 11-12, 2022
Submission Deadline May 30, 2022


JULY 1, 2021

08:30 - 08:40


08:40 - 09:20

Keynote Speaker 1

09:20 - 10:00

10:00 - 10:10

10:10 - 10:50

Oral Session 1

The Speakers

Aaron Clauset

Evaluating overfit and underfit in models of network community structure

The University  of Colorado at Boulder , USA

I came to the University of Colorado at Boulder from the Santa Fe Institute where I was an Omidyar Fellow. I completed my doctoral work in Computer Science at the University of New Mexico, under Cristopher Moore

My research interests are broad, currently including the structure and function of biological, technological, and social networks, evolutionary biology and the processes that shape morphological diversity, and the dynamics of violent political conflict. These disparate areas are unified by a central interest in understanding the origins and implications of large-scale structural regularities, particularly in social and biological systems where contingency and uncertainty play important roles. 



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Santo Fortunato

Indiana University Bloomington USA

Santo Fortunato is a professor is the School of Informatics and Computing at IU Bloomington. 

Fortunato received his PhD in Theoretical Physics in 2000 at the Department of Physics of the University of Bielefeld, Germany, working on lattice gauge theories, percolation and phenomenology of heavy-ion collisions. He switched to complexity science in 2004, and from 2005 till 2007 he has been a postdoctoral researcher at the School of Informatics and Computing of Indiana University, working in the group of Alessandro Vespignani. From 2007 till 2011 Santo has been at ISI Foundation in Turin, Italy, first as research scientist then as a scientific leader. In 2011 he joined the the School of Science of Aalto University, Finland, where he was full professor in the Department of Computer Science before returning to IU. 


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Peter J. Mucha

 Department of Mathematics, Dartmouth College

Finite-state parameter space maps for pruning partitions in modularity-based community detection

Peter Mucha is the Jack Byrne Distinguished Professor in Mathematics at Dartmouth College. Born in Texas and raised in Minnesota, Mucha attended college at Cornell University where he majored in Engineering Physics. After a Churchill Scholarship studying in the Cavendish Laboratory at Cambridge with an M.Phil. in Physics, he returned to the States to study Applied and Computational Mathematics at Princeton,

earning M.A. and Ph.D. degrees. Following a postdoctoral

instructorship in applied mathematics at MIT and assistant

professorship in Mathematics at Georgia Tech, he moved to UNC-Chapel Hill for 16 years, where he served as chair of the Department of Mathematics, the founding chair of the Department of Applied Physical Sciences, and the Director of the Chairs Leadership Program at the

Institute for the Arts & Humanities. His awards include a DOE Early Career PI award, an NSF CAREER award, and recognition as an HHMI Gilliam Advisor. Mucha arrived at Dartmouth in 2021 as part of The Jack Byrne Academic Cluster in Mathematics and Decision Science. 



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Vincent Traag

Leiden University The Netherlands

Since 2015 I am a senior researcher at the Centre for Science and Technology Studies (CWTS) of Leiden University in the Netherlands. I am responsible for the research line on modelling the research system within the Quantitative Science Studies (QSS) research group. In addition to my scientific research, I am also a bibliometric consultant at the CWTS. My main interests are mathematical models in the social sciences with a focus on (social) networks, including topics such as complex networks, social influence (as in opinion dynamics and the like), and conflict. During my PhD in applied mathematics in Louvain-la-Neuve, Belgium (2013) I studied methods for detecting communities in complex networks, resulting in a Python software package



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JULY 11, 2022

Time Zone: Eastern Daylight Time (EDT)

08:15 - 08:30


08:30 - 09:15

Keynote Speaker - Santo FORTUNATO 

09:15 - 10:00

Keynote Speaker - Vincent TRAAG

10:40 - 10:20

Coffee Break

10:20 - 12:00

Oral Session 1 

JULY 12, 2022

08:15 - 08:30


08:30 - 09:15

Keynote Speaker - Peter J. MUCHA

09:15 - 10:00

Keynote Speaker - Aaron CLAUSET

10:00 - 10:10

Coffee Break

10:10 - 11:50

Oral Session 2

11:50 - 12:00


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



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




Selected contributions will be invited to submit an extended version to a book in the Studies in Computational Intelligence book series  edited by Springer










Hocine Cherifi University of Burgundy, France

Gergely Palla Eötvös Loránd University, Hungary

Boleslaw Szymanski Rensselaer Polytechnic Institute, Troy, NY, USA

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