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Call for Abstracts: Words and Networks Session at Sunbelt 2019
We invite submissions of abstracts to the organized session on "Words and Networks" at Sunbelt 2019 in Montreal (conference URL: https://urldefense.proofpoint.com/v2/url?u=https-3A__www.fourwav.es_view_717_info_&d=DwIFAg&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=ZSy03Q5XZ174pP-Yqg3PhD6BwguE-fqdoIymuQevcw8&s=Urki_Ra3iz2jyAIJrd_5cs4kvKsM1oHml6-CKqqGLuU&e=).
This session is dedicated to innovative research at the nexus of text analysis (including discourse analysis, content analysis, text mining, and natural language processing) and network analysis. The study of networks of words, analysis of large text corpora, and extraction of socio-semantic networks from text data are also topics of interest.
Research on "Words and Networks" has led to eminent work, e.g., on language change, recommender systems, collaborative work, semantic computing, and the diffusion and adoption of (mis)information offline and online. The papers presented in this session should discuss new methods or applications. For example, several studies already proved the advantage of combining social network and semantic analysis for business intelligence. Actions meant to support successful interactions with clients, or to improve employees' communication, come from a better understanding of the impact that language has within and across organizations. In addition, text mining and the study of networks of words help to identify digital groups of social agents, resulting in strategies for customized communication or connecting communities. Virtual mirroring of digital communication dynamics makes social actors aware of their behavior, beliefs and emotions; improves collaboration; and nudges change and work-commitment within organizations and other complex systems. An additional aspect of bringing text analytics to the field of network analysis is the construction of network data based on natural language text data, a process also known as relation extraction, for example by using recent machine learning and artificial intelligence based solutions. Methodological innovations related to extracting networks from communication data, including the construction of multi-mode networks that entail social agents and knowledge or information, are also welcome.
We invite abstract submissions that contribute to the consolidation of text analysis and network analysis. We are interested in basic and applied studies, and in theoretical, empirical, and methodological work.
Abstract submission deadline: February 1st, 2019, 23:00 (EDT-UTC-5:00)
Submission link and details: https://urldefense.proofpoint.com/v2/url?u=https-3A__www.fourwav.es_view_717_submission&d=DwIFAg&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=ZSy03Q5XZ174pP-Yqg3PhD6BwguE-fqdoIymuQevcw8&s=qJozQVrrqZ3JXaOmuQJUcgZ-q7IwYD2txtJ5r_dD4-k&e=
We invite abstract submissions for oral presentations (20 minute presentation). Please limit all abstracts to 500 words, not including the title (and please do not include references). Select the appropriate organized session from the drop-down menu that will appear once you select "Oral Presentations" ("Words and Networks" is the last item on that list).
This session is jointly organized by Jana Diesner (UIUC, USA), Andrea Fronzetti Colladon (University of Perugia, Italy), Peter Gloor (MIT, USA), and Oliver Posegga (University Bamberg, Germany).
Kind regards, Jana
Jana Diesner, PhD
Associate Professor
Director of PhD Program
School of Information Sciences
University of Illinois at Urbana-Champaign
https://urldefense.proofpoint.com/v2/url?u=http-3A__jdiesnerlab.ischool.illinois.edu&d=DwIFAg&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=ZSy03Q5XZ174pP-Yqg3PhD6BwguE-fqdoIymuQevcw8&s=3skxrbo8p8jv7NMCMQ7YhTZCxaTlMxDi4l8IF8PIilo&e=


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