Information and Management
Special issue on Social Media Analytics
Guest Editors:
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Weiguo (Patrick) Fan (Virginia Tech, USA), [email protected]
Xiangbin Yan (Harbin Institute of Technology, China), [email protected]
Call for papers
Online social platforms e.g., Facebook, Twitter, Youtube, Weibo, discussion forums
have developed into a virtual world where users and firms share content related to their
real lives, works, and various facets of the real world. The explosion of social media
usage has resulted in massive user generated contents (UGCs), including media
contents, user information and their interactions on social networks, geo-locations, and
many other metadata. These UGCs have created numerous new research opportunities
and challenges.
Social media analytics is concerned with developing and evaluating informatics tools
and frameworks to collect, monitor, analyze, summarize, and visualize social media
data to facilitate conversations and interactions to extract useful patterns and
intelligence (Zeng et al. 2010). Social media analytics generally involve three stage
processes: capture, understand, and present (Fan and Gordon, 2014). Recently, more
and more research efforts have been dedicated to key issues therein, such as analytics
and learning techniques for understanding social media, social media analytics tools
and systems, knowledge mining from social media, as well as social network modeling,
etc.
This special issue seeks contributions reporting novel solutions, models, theories, or
systems regarding social media analytics. Topics of interest include but are not limited
to:
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Understanding social content and dynamics
Understanding firm usage of social media
Efficient learning algorithms for scalable social media analytics
Social network modeling using social media data
Machine learning and data mining for social media
User interests and behavior modeling in social media
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Tagging, semantic annotation, object and event recognition on large-scale social
media collections
Novel data processing to remove noise and extract useful signals
Effective search mechanism in large-scale social media collections
Novel business applications and value discovery using social media analytics
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All submissions are required to be done via I&M online submission systems.
Author guidelines are available from http://www.elsevier.com/journals/information-andmanagement/0378-7206/guide-for-authors. Please indicate in your cover letter that this is
a special issue submission on social media analytics. All submissions will go
through an initial screening by guest editors. Only quality submissions will go
through the review process.
Key Dates:
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Online system open for submission:
First submission paper due:
First round decision made:
Revised manuscript due:
Final decision made:
Final paper due:
July 1st to Sept 1st, 2014
Sept 1st, 2014
Dec. 1st, 2014
March 1st, 2015
May 1st, 2015
July 1st, 2015
Key references:
Overview of SMA
 D. Zeng, H. Chen, R. Lusch, & S-H Li, "Social media analytics and intelligence",
IEEE Intelligent Systems, 25(6), 2010.
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W. Fan, M. D. Gordon, "Unveiling the power of social media analytics",
Communications of ACM, forthcoming, 2014. Preprint available at
https://www.researchgate.net/publication/259148570_Unveiling_the_Power_of_S
ocial_Media_Analytics
Applications of SMA
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A. S. Abrahams, J. Jiao, W. Fan, G. A. Wang, Z. Zhang, "What is buzzing in the
blizzard of buzz: automotive component isolation in social media postings",
Decision Support Systems, 55(4), 871-882, 2013.
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G. A. Wang, J. Jiao, A. S. Abrahams, W. Fan, Z. Zhang, "ExpertRank: A topicaware expert finding algorithm for online knowledge communities", Decision
Support Systems, 54(3), 1442-1451, 2013.
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A. S. Abrahams, J. Jiao, G. A. Wang, W. Fan, "Vehicle defect discovery from
social media", Decision Support Systems, 54(1): 87-97, 2012.
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