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fyi
   Barry Wellman

    A vision is just a vision if it's only in your head
    Step by step, link by link, putting it together
                  Streisand/Sondheim
  _______________________________________________________________________
   NetLab Network                 FRSC                      INSNA Founder
   http://www.chass.utoronto.ca/~wellman           twitter: @barrywellman
   NETWORKED: The New Social Operating System  Lee Rainie & Barry Wellman
                        http://amzn.to/zXZg39
   _______________________________________________________________________


---------- Forwarded message ----------
Date: Thu, 09 Jun 2016 13:27:24 +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], [log in to unmask], [log in to unmask]
Subject: [bms-rc33] Meeting - Words & Networks at Networks in the Global World
     2016 (1-3 Jul, St. Petersburg RU)

Thanks to Jana Diesner & [log in to unmask]


SESSION ON "WORDS AND NETWORKS" AT CONFERENCE "NETWORKS IN THE GLOBAL WORLD 
2016 - MULTIPLE STRUCTURES AND DYNAMICS: APPLICATIONS OF NETWORK ANALYSIS TO 
EUROPEAN SOCIETIES AND BEYOND"
July 1-3, St. Petersburg, Russia

www.ngw.spbu.ru [1]

Chairs: Adina Nerghes, VU University Amsterdam and Jana Diesner,
University of Illinois Urbana-Champaign

This session is dedicated to cutting edge research at the nexus of text
analysis and network analysis. While text analysis/ natural language
processing and network analysis have evolved into mature yet quickly
advancing fields, work at their intersection is less prevalent. Bridging
this gap matters, since prior research has shown that without
considering the content of text data, we are limited in our ability to
understand the effects of language use in networks and vice versa.
Jointly considering text data and network data enables the analysis of
networks along multiple dimensions of human behavior, namely language
use and social interactions, which ultimately helps to advance our
understanding of the interplay and co-evolution of socio-technical
networks and information. This conceptualization has inspired eminent
work in areas such as: language change, the diffusion and adoption of
information and beliefs online and offline, collective problem solving
through information propagation, and relation extraction techniques.

To enable progress in this area, scholars have developed powerful and
scalable methods and tools for analyzing text data authored or shared by
network participants, as well as for language-based interactions.
However, there is gap between theoretical foundations for these
solutions and actual implementations in the form of empirical and
computational work. In this session, contributions will bridge the gap
between theories related to language use and networks, and for methods/
tools that help bridging this gap. There will be work that advances
theories about the use or production of language or text data and
integrates with network analytic methods and technologies.

Furthermore, there will be methodological and theoretical contributions on
the role and importance of context. The social context in which text is
produced and consumed defines what topics and issues may be discussed,
and to some extent, how these topics and issues are discussed. While
text analysis and network analysis are versatile approaches, the
socio-cultural context in which texts are produced may impact the degree
to which meaningful information can be inferred. There will also be
contribution that addresse the social construction of meanings,
the ways in which meanings are constrained by specific social contexts,
and text and network analytical methods adapted to capture these
interactional aspects of text and meanings.

Another area of interest of this session is the conceptualization of
network analysis metrics for the specific case of word networks. While
it is common to apply social network analysis metrics to networks of
words (or socio-semantic networks), very little effort has been
dedicated to theorizing on how these metrics apply to networks in which
the nodes are concepts or words. Arguably, a more wide-ranging
conceptualization of network metrics for semantic networks would guide
researchers in selecting those centrality metrics appropriate for their
research goals and would support the inference of more robust
interpretations of results. Such contributions could cover the
reconceptualization of network measures as tools of analysis in the
specific case of word networks.

The conference website (www.ngw.spbu.ru [3]) provides additional
information.

Email any questions to [log in to unmask], [log in to unmask] or 
[log in to unmask]

Best, Jana

Jana Diesner, PhD

Assistant Professor
The iSchool/ GSLIS
Affiliate at Department of Computer Science
Faculty Fellow at National Center for Supercomputing Applications (NCSA)
University of Illinois at Urbana-Champaign
Phone: 412 519 7576
Web: http://people.lis.illinois.edu/~jdiesner/ [4]

Links:
------
[1] http://www.ngw.spbu.ru
[2] http://ngw.spbu.ru/submission
[3] http://www.ngw.spbu.ru/
[4] http://people.lis.illinois.edu/~jdiesner/

>> Consider submitting your methodologically interesting articles to the BMS <<

*******************************************************************************
*
* Karl M. van Meter              BMS, Bulletin de Methodologie Sociologique
* [log in to unmask]           (Bulletin of Sociological Methodology)
* tel 33 (0)1 43 25 26 57        Web http://bms.sagepub.com
*                                Blog http://karlvanmeter.wordpress.com/
* École normale supérieure       distribution list [log in to unmask]
* 48 boulevard Jourdan           free distribution list [log in to unmask]
* 75014 Paris, France
*                                RC33, Research Committee Logic &
* BMS-AIMS                       Methodology of the International
* 45 rue Linné                   Sociological Association (ISA)
* 75005 Paris, France            http://www.rc33.org/
*
*                   http://ens.academia.edu/KarlMvanMeter
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