CCISUM 2013 - Special Session on Computational Collective Intelligence for Social Understanding and Mining (CCISUM 2013)

Social Understanding and Mining (SUM) is a complex and hot topic for a large number of research areas in last years. A society is, in essence, a collection of rational and adaptive individuals taking decisions in a highly interconnected environment, complex, dynamic and non-linear environment. An emergent collective behavior emerges from such scenario without the necessity to provide specific goals to the users that belong to the group, community or any other kind of social-based structure that the interactions amongst the users could generate. The rising and huge popularity of Social Network applications (i.e. Facebook or Twitter) have provided and ideal environment to test and simulate new models, algorithms and methods to process knowledge that can be later used to understand (and mine) the behaviors in users or groups. These knowledge can be later used by different actors such us enterprises and private companies, public institutions, or researchers and scholars interested in formal and empirical analysis of social trends.
However, these models and techniques could go beyond from our current Computer Science and Engineering approaches if notable contributions from Social Sciences (i.e. sociology, psychology, e-government, marketing, advertising…) would enough studied and exploited. The current gap between theories and models from Social Sciences and advanced methods from Collective Intelligence and Artificial Intelligence is still a problem to be solved from both communities. Therefore, this special session tries to be a meeting point where researchers from Collective and Artificial Intelligence and Social Sciences could have the opportunity to present current research results, and to look for new ways of knowledge (techniques, methods, models and theories) sharing.
INFORMATION FOR AUTHORS
?The papers will be reviewed by CCISUM’13 International Program Committee. The accepted submissions for this session will be published in the ICCCI conference proceedings. The papers should present original and unpublished research.
The conference proceedings will be published in the prestigious series Lecture Notes in Artificial Intelligence, distributed by Springer-Verlag (the publication announcement has already been included in the list of LNCS Forthcoming Proceedings) and indexed by ISI (CP), EI, Scopus, DBLP, ACM Digital Library etc. Submitted papers for CISUM should be prepared in LNCS/LNAI format with titles, author names, affiliation, e-mail addresses, an up to 200-words abstract, and a single-column and single-spaced body. The manuscript should be written in English and should not exceed 10 pages. All papers must provide at most five key words including one or more of the session topics. Please follow the instructions given at the ICCCI site to format and submit your paper.
?All papers must be submitted electronically using submission system available on the ICCCI 2013 website.
TOPICS OF INTEREST
?Agent-based technologies and methods in SUM
Collective and Swarm Algorithms and their application to SUM
Collective Intelligence in Social-based systems
Models from Collective Intelligence applied to SUM
Models and Theories from Social Sciences applied to SUM
Simulation methods and techniques applied to SUM
Enterprise-based models and theories in SUM
Enterprise-based knowledge representation in SUM
Practical application of models from Social Sciences in SUM
Practical examples of Collective Intelligence in SUM
Practical examples of Agent technologies in SUM
Cases studies from Collective intelligence applied to SUM
Cases studies from Social Sciences applied to SUM
SESSION CHAIRS
Prof. ?David Camacho, Universidad Autonoma de Madrid, Spain, David.Camacho(at)uam.es
Prof. Pan-Koo Kim, Chosun University, Korea, pkkim(at)chosun.ac.kr
Asso. Prof. ?Jason Jung, Yeungnam University, Korea, j2jung(at)gmail.com
PROGRAM COMMITTEE
?David F. Barrero, Universidad de Alcala, Spain
John Breslin, DERI, Ireland (To be confirmed)
Manuel Cebrian, NICTA, University of Melbourne, Australia
Tutut Herawan, University of Malaya, Malaysia
Sachio Hirokawa, Kyushu University, Japan
Shintaro Okazaki, Universidad Autonoma de Madrid, Spain
Seung-Bo Park, Kyung Hee University, Korea
Maria Dolores Rodriguez-Moreno, Universidad de Alcala, Spain
Hideaki Takeda, NII, Japan (To be confirmed)
I-Hsien Ting, National University of Kaohsiung, Taiwan
Martin K.J. Waiguny, Retailing and Sales Faculty of Business & Law Auckland University of Technology, New Zealand