-------- Forwarded Message --------
Subject: [AISWorld] AMCIS 2020 CFP for SIGDSA Minitrack #7- Social Media and Network Analytics
Date: Wed, 8 Jan 2020 20:46:12 -0800
From: Babita Gupta <bgupta@csumb.edu>
To: aisworld@lists.aisnet.org
CC: Amit Deokar <amit_deokar@uml.edu>, Uday Kulkarni <uday.kulkarni@asu.edu>, Babita Gupta <bgupta@csumb.edu>


26th Americas Conference on Information Systems (AMCIS 2020
<https://amcis2020.aisconferences.org/>)
August 12-16, 2020
Salt Lake City, Utah, USA

Track: Data Science and Analytics for Decision Support (SIGDSA)
<https://amcis2020.aisconferences.org/track-descriptions>
(https://amcis2020.aisconferences.org/track-descriptions)
Submission Deadline: Friday, February 28, 2020, 5:00 pm MST (7:00 pm EST)

SIGDSA Minitrack #7: Social Media and Network Analytics

Online social networks (OSN) differ from traditional offline social
networks in content and structure. OSN content (e.g., online reviews, eWOM
via tweets, likes, claps) differs in nature and frequency, and OSN
structure increases the content’s reach and propagation speed by orders of
magnitude. Further, the content can be continuously captured at the finest
level of granularity. Unstructured data in this form that is disseminated
over OSN provides a lean yet in many ways unique and rich means of
communication that has the potential to not only influence receivers
(consumers, colleagues, stakeholders, etc.), but also to provide a window
into the participants’ information needs, responses to incentive
structures, and the collective sentiments of social groups (consumers,
employees, voters, etc.).

This mini-track invites original research on the use of analytical
techniques to advance the theories of social networks to further understand
social influence, human behavior and decision-making, network structures,
and information diffusion.

Topics may include the following:
• Emerging architecture for scalable social media analytics
• Social network and Geospatial analytics,
• Visual social network analytics
• Privacy and security in social networks
• Communities structure discoveries such as profiling participants, and
subgroups
• User sentiment analysis, opinion mining, and recommendation analysis
• User empowerment and social movements with OSN
• Impact of OSN on brand communication, advertising, and e-commerce
• Use of theories to understand user communication patterns and behavior in
social media
• Impact of OSN on decision-making at the individual and organizational
level
• Integration of OSN in enterprise processes and systems
• Ethical concerns about the nature of OSN content and spread of
misinformation

Selected papers from the mini-track will be eligible for a fast-track
review for publication consideration in the e-Service Journal
<https://www.jstor.org/journal/eservicej>.

**Submissions due by Friday, February 28, 2020,5:00 pm MST (7:00 pm EST)
**Submission Instructions:
https://amcis2020.aisconferences.org/submissions/types-of-submissions/

Mini-Track co-chairs:
Amit Deokar, UMass Lowell, USA, amit_deokar@uml.edu
Babita Gupta, California State University Monterey Bay, USA,
bgupta@csumb.edu
Uday Kulkarni, Arizona State University, USA, uday.kulkarni@asu.edu

Best wishes,

Babita, Amit, and Uday
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Babita Gupta, Ph.D.
Professor of Information Systems
Director of AACSB Accreditation
College of Business
California State University Monterey Bay
Room 326, Gambord BIT Building,
3052 Divarty Street, Seaside, CA 93955
Phone: 831-582-4186
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Board Member: Teradata University Network
<http://www.teradatauniversitynetwork.com/>
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