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   Barry Wellman

   Step by step, link by link, putting it together--Streisand/Sondheim
        The earth to be spannd, connected by network--Walt Whitman
              It's Always Something--Roseanne Roseannadanna
Go Raptors Go
              A day like all days, filled with those events
          that alter and illuminate our times--Walter Cronkite
   Director, NetLab Network      			            FRSC
   Distinguished Visiting Scholar   Social Media Lab   Ryerson University
         Founder, International Network for Social Network Analysis
   NETWORKED: The New Social Operating System  Lee Rainie & Barry Wellman    

---------- Forwarded message ----------
Date: Thu, 06 Jun 2019 16:20:32 +0200
From: VAN METER Karl <[log in to unmask]>
Reply-To: [log in to unmask], VAN METER Karl <[log in to unmask]>
To: [log in to unmask], [log in to unmask]
Cc: [log in to unmask]
Subject: [bms-rc33] Meeting - How to Analyze Large-Scale Network Structures
     (13-14 Jun, Mannheim DE)

Thanks to Sebastian Pink

Deadline: 23 April 2019

Dear BMS mailing list members,

We are organizing a workshop named "How to Analyze Large-Scale Network
Structures? The 'Boundary Specification Problem' Revisited" held at
13.-14.06.2019 at Mannheim University, Germany. .

We look forward to seeing you at the University of Mannheim.

Best wishes from Mannheim,

Philipp Brandt and Sebastian Pink


How to Analyze Large-Scale Network Structures?

The Boundary Specification Problem Revisited

Social network analysis presupposes the specification of a network boundary. 
Typically, boundaries
follow theoretical definitions of medium-sized groups, think of local elites, 
or clear institutional
settings such as school classes, villages, or workplaces. Researchers from 
various scientific disciplines
have developed sophisticated statistical methods to analyze the genesis and 
evolution of such
networks. These methods include Autoregressive Models, Exponential Random Graph 
Models, Latent
Space Models, or Stochastic Actor-Oriented Models.

Over the last decade, however, the size of networks that scholars may use to 
answer their research
questions has increased tremendously, and therefore specifying their boundaries 
is not as
straightforward anymore. Large relational structures such as Twitter or 
Facebook, as well as patent,
citation, covert, transaction, or academic collaboration networks confront 
researchers with novel
challenges: their size exceeds typical social networks and stretches the 
boundary assumption of
sophisticated methods of social network analysis. At the same time, these 
networks have drawn
attention from computational sciences. One promising solution to novel 
challenges may be to
integrate computational and sociological approaches and partition large 
networks into smaller
segments (providing meaningful sub-network boundaries), analyze them 
separately, and then
combine the results back to the larger network to learn about its genesis and 

This workshop aims to explore how we may use modern computational tools to 
partition large-scale
networks into meaningful components and the implications for applying 
statistical models to them.
These analytical steps come with empirical and conceptual caveats and require 
rigorous descriptions
and substantive interpretations of the sub-components with respect to their 
members and the tiegenerating processes. This endeavor is inherently 
interdisciplinary and will profit enormously from
joining forces across scientific disciplines, which is why we explicitly invite 
interested scholars from a
broad range of fields such as mathematics, physics, biology, environmental 
science, computer
science, data science, medicine, criminology, political science, and sociology.

Open questions that scholars interested in these problems will be addressing 

Mathematical approaches to partitioning graphs into clusters and community 
Probabilistic assignment of members of a sub-network into multiple clusters 
according to
different partitioning techniques
Ontological problems of using algorithms to define network boundaries
Techniques for comparing different clusters to each other to arrive at a 
understanding about the dimensions along which the clusters differ
Aggregation of the cluster-based analyses
Computational demands of handling large graphs in general and partitioning 
graphs in
Theoretical and conceptual issues of combining partitioning algorithms for 
networks with actor-oriented statistical models

We hope this workshop will help participants with their challenges and produce 
a more general guide
for scholars interested in analyzing large-scale networks. As part of the 
workshop, we will discuss ways
for publishing the results to share them with the wider network science 

Organizational information

Date: 13.-14.06.2019


Mannheim Centre for European Social Research
University of Mannheim,
A5, 6, 68159 Mannheim, Germany


Oral presentation of 20 minutes and 10 minutes discussion per presenter
Application: Please send a one-page abstract of your topic until the 23.04.2019 
[log in to unmask] and/or [log in to unmask]

Support: The workshop is supported by the Academy for Sociology and the 
Mannheim Centre
for European Social Research. In addition to providing refreshments and a
conference dinner, we are able to cover the accommodation for a limited number 
participants who have no own funding. Please indicate in your application if 
would like to be considered.

If you have any questions, please do not hesitate to ask us!

We look forward to seeing you at the University of Mannheim,

Philipp Brandt and Sebastian Pink

>> Consider submitting your methodologically interesting articles to the BMS <<
       >> Soumettez vos articles méthodologiquement intéressants au BMS <<
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