-------- Forwarded Message -------- Subject: [AISWorld] CFP, AMCIS 2019, SIGDSA Mini Track 7: Social Media and Network Analytics Date: Wed, 16 Jan 2019 14:54:11 +0000 From: Uday Kulkarni uday.kulkarni@asu.edu To: aisworld@lists.aisnet.org aisworld@lists.aisnet.org
25th Americas Conference on Information Systems (AMCIS)
August 15-17, 2019
Cancun, Quintana Roo, MX
Track: Data Science and Analytics for Decision Support (SIGDSA)
(https://amcis2019.aisconferences.org/submissions/track-descriptions/)
Submissions due by 01-March-2019, 10:00 AM PST (13:00 EST)
Submission Instructions: https://amcis2019.aisconferences.org/submissions/call-for-papers/https://amcis2019.aisconferences.org/submissions/call-for-papers/%22%20%5Ct%20%22_blank
Minitrack 7: Social Media and Network Analytics
Online social networks (OSN) differ from traditional offline social networks in structure and content. Online content (e.g., online reviews, eWOM via tweets, likes) that differ in nature, frequency, reach, propagation speed, etc., by orders of magnitude, can be continuously captured at the finest level of granularity. Unstructured data in the form of text and emoticons communicated over OSN provides a lean yet in many ways unique and emotionally rich means of communication that has the potential to influence message receivers (consumers, colleagues, stakeholders, etc.). Such unstructured data in OSN presents research challenges that go beyond sentiment analysis, and include nuanced aspects such as uncertainty and specificity. Adoption of OSN affects behavior and decision-making in unique ways. This minitrack invites original research on the use of analytical techniques and theories of social network analysis to understand social influence, behavior, and decision-making, data models, network structure and information diffusion, and social network analysis.
Topics may include the following:
– Emerging architecture for scalable social media analytics
– Online social networks and geospatial analytics
– Communities structure discoveries such as profiling participants and subgroups
– User sentiment analysis, opinion mining, and recommendation analysis
– Visual online social network analytics
– Use of theories to understand user communication patterns and behavior in social media
– Network dynamics in the form of population and structural effects
– Impact of online social networks on decision-making at individual and organizational levels
– Influence of online social networks on markets
– Information privacy and security in online social networks
Mini-Track Chairs: Amit Deokar, University of Massachusetts Lowell, amit_deokar@uml.edu
Babita Gupta, California State University Monterey Bay, bgupta@csumb.edu
Uday Kulkarni, Arizona State University, uday.kulkarni@asu.edu
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