[AISWorld] CFP: Information and Management special issue on social media Analytics
wfan at vt.edu
Mon Jan 20 10:15:03 EST 2014
*Information and Management*
Special issue on* Social Media Analytics*
Weiguo (Patrick) Fan (Virginia Tech, USA), wfan at vt.edu
Xiangbin Yan (Harbin Institute of Technology, China), xbyan at hit.edu.cn
*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
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:
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
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
*All submissions are required to be done via I&M online submission systems.
Author guidelines are available from
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.
Online system open for submission: July 1st to Sept 1st, 2014
First submission paper due: Sept 1st, 2014
First round decision made: Dec. 1st, 2014
Revised manuscript due: March 1st, 2015
Final decision made: May 1st, 2015
Final paper due: July 1st, 2015
*Overview of SMA*
D. Zeng, H. Chen, R. Lusch, & S-H Li, "Social media analytics and
intelligence", IEEE Intelligent Systems, 25(6), 2010.
W. Fan, M. D. Gordon, "Unveiling the power of social media analytics",
Communications of ACM, forthcoming, 2014. Preprint available at
*Applications of SMA*
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.
G. A. Wang, J. Jiao, A. S. Abrahams, W. Fan, Z. Zhang, "ExpertRank: A
topic-aware expert finding algorithm for online knowledge
Support Systems*, 54(3), 1442-1451, 2013.
A. S. Abrahams, J. Jiao, G. A. Wang, W. Fan, "Vehicle defect discovery
from social media", Decision Support Systems, 54(1): 87-97, 2012.
*About Information and Management*
Information & Management is a premier journal in information systems area.
It serves researchers in the information systems field and managers,
professionals, administrators and senior executives of organizations which
design, implement and manage Information Systems Applications.
The major aims are:
• To collect and disseminate information on new and advanced developments
in the field of information systems;
• To provide material for training and education in information systems;
• To encourage further progress in information systems methodology and
• To cover the range of information system development and usage in their
use of managerial policies, strategies, and activities for business, public
administration, and international organizations.
*5-year impact factor 3.178*
More information about the journal can be found at
Weiguo (Patrick) Fan, Ph.D.
L. Mahlon Harrell Fellow
Director, Center for Business Intelligence and Analytics (CBIA)
Professor of Accounting and Information Systems
Professor of Computer Science (courtesy)
3007 Pamplin Hall, Blacksburg, VA 24061
Tel: 540-231-6588 (O) Fax: 540-231-2511
Google Voice: 540-315-1168
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