This special issue includes papers that show, first, how to make sense of Social Media data, i.e. how to condense, dis-till, or integrate highly decentralized and dispersed data resulting from human communication, and second, how Social Media contributes to innovation, collaboration, and Collective Intelligence. We selected papers covering diverse aspects of Social Media analysis including Social Media in business, entertainment , as well as in art. We invited insightful artifacts and methods as well as analytical, conceptual, empirical, and theoretical approaches (using a wide range of research methods, including experiments, primary data from Social Media logs, case studies, simulations, surveys, and so on). We provided a list of topics including information and Web mining (e.g.
[1]
Matthew A. Russell,et al.
Mining the social web
,
2011
.
[2]
Christopher D. Manning,et al.
Introduction to Information Retrieval
,
2010,
J. Assoc. Inf. Sci. Technol..
[3]
Jonathan Bishop,et al.
Networked: The New Social Operating System
,
2013,
Int. J. E Politics.
[4]
Mark Newman,et al.
Networks: An Introduction
,
2010
.
[5]
Clay Shirky.
Here Comes Everybody: The Power of Organizing Without Organizations
,
2008
.
[6]
Andrew McAfee,et al.
Enterprise 2.0: New Collaborative Tools for Your Organization's Toughest Challenges
,
2009
.