(Apologies if you receive multiple copies of this CFP)

HotSocial: First ACM International Workshop on Hot Topics on Interdisciplinary 
Social Networks Research
August 12, 2012, Beijing, China (in conjunction with ACM KDD 2012, August 
12-16, 2012)

Call for Papers

With the blessing of information technology, we are living in an increasingly 
networked world. People, information and other entities are connected via World 
Wide Web, email networks, instant messaging networks, mobile communication 
networks, online social networks, etc. These online networks grow fast and 
possess huge amount of recorded information, which presents great opportunities 
in understanding the science of these networks, and in developing new 
applications from these networks and for these networks. The increasingly 
networked society has fundamentally changed our way of thinking, individual 
behaviors and social activities. It is foreseen that the public health relating 
to epidemic diseases is greatly impacted by this emerging connectivity as they 
are by nature mediated by direct or indirect human interactions and mobility.  
However, new challenges have to be met – the networks are huge and information 
is noisy, and they demand new methodologies in accessing and analyzing these 
networks, and in developing theories and applications for the networks.

To meet with these challenges, researchers from a wide range of academic 
fields, including theory and algorithms, data mining and machine learning, 
computer systems and networks, statistical physics and complex systems, 
sociology, social psychology, economics and managerial science, etc. are all 
actively studying various aspects concerning social and information networks.

However, we lack the proper opportunities for people from these diverse 
backgrounds to directly interact with each other. The diversity of approaches 
and methodologies to study various social networks has raised the need for an 
interdisciplinary effort to create the required expertise to address the 
fundamental open questions in this field. This workshop is intended to present 
such an opportunity and serve as a forum to bring together people from various 
fields to exchange their latest research results and to sparkle new ideas and 
directions to properly understand these networks.

Some of the fundamental open questions are:


 *    Accessing social network data.  Different communities have different 
means, each with pros and cons. Experience exchanges from different communities 
will be beneficial.
 *    Protecting users’ data. Privacy and data protection techniques 
considering social and legal aspects are required.
 *    Interdisciplinary collaborations to enable in depth understanding of 
social behaviors.
 *    Can social network features be exploited for a better computing and 
social network system design?
 *    How do online social networks play a role in real-life (offline) 
community formation and evolution?
 *    How do human mobility and interactions influence human behaviors and thus 
public health? How can we develop methodologies to investigate the public 
health and their correlates in the context of the social networks?


Topics of Interest:

Main topics of this workshop include (but are not limited to) the following:

 *    Methods for accessing social networks (e.g., sensor nets, mobile apps, 
crawlers) and bias correlation for use in different communities (e.g., 
sociology, behavior studies, epidemiology)
 *    Privacy and ethic issues of data collection and management of large 
social graphs, with focus on legal and social constraints
 *    Application of data mining and machine learning in the context of 
specific social networks
 *    Information spread models and campaign detection
 *    Trust, reputation and community evolution in the online and offline 
interacted social networks, including the presence and evolution of social 
identities and social capital in OSNs
 *    Understanding complex systems and scale-free networks from an 
interdisciplinary angle
 *    Interdisciplinary experiences and intermediate results on social network 
research


Submissions

Submissions must present original results. Selected papers will be 
forward-looking, describe their relationship to existing work, and have impact 
and implications for ongoing or future research.
Submissions can be either a full workshop paper (no more than 6 pages long, 
double-column) or an extended abstract/position paper (2 pages, double-column); 
please strictly follow the SIGKDD template 
(http://sigkdd.org/kdd2012/author_reviewer_info.shtml). All paper submission 
will be handled via Easychair Submission System 
(https://www.easychair.org/account/signin.cgi?conf=hotsocial2012). Papers will 
be reviewed single blind by the TPC.
Extended versions of selected papers of special merit presented at the workshop 
are subject to considerations - subject to peer review - for publication in 
Elsevier Computer Communications journal.


Important Dates:

Deadline for submissions: May 16, 2012 (11:59 PM, EST)
Notification of acceptance: June 1, 2012
Camera-ready version: June 12, 2012
HotSocial Workshop Day: Aug 12, 2012


Workshop TPC Co-Chairs:


 *    Xiaoming Fu, University of Goettingen, Germany
 *    Peter Gloor, MIT, USA
 *    Jie Tang, Tsinghua University, China

Panel Chair:


 *   Jar-Der Luo, Tsinghua University, China


Technical Program Committee:


 *    Vitaly Belik, Physics, MIT, USA and MPI-DS, Germany (Complex systems, 
epidemics)
 *    Margarete Boos, Courant Center for Evolution of Social Behaviors, U. 
Goettingen, Germany (Social psychology, social behaviors)
 *    Wei Chen, Microsoft Research Asia, China (Social and information systems)
 *    Kai Fischbach, Social networks and information systems, U. Bamberg, 
Germany (Social network analysis)
 *    Pan Hui, Deutsche Telekom Laboratories, Germany (Mobile social networks)
 *    Benyuan Liu, Computer Science, UMass, Lowell, USA (Online social 
networks, mobile social networks, epidemiology)
 *    Jar-Der Luo, Sociology, Tsinghua U., China (Social capital and social 
structure, social network analysis)
 *    Cecilia Mascolo, Computer Science, U. Cambridge, UK (Mobile social 
networks)
 *   Yasmin Merali, Management Science, U. Warwick, UK (Complex networks)
 *    Alessandra Sala, Alcatel-Lucent Bell Labs (Graph algorithms, social 
network privacy)
 *    Christian Stegbauer, Sociology, U. Frankfurt, Germany (Social network 
analysis)
 *    Allen Zhiwei Wu, Epidemiology/public health, Nanjing U., China 
(Infectious disease spreading)
 *    Xifeng Yan, Computer Science, UCSB, USA (Data mining, machine learning)
 *    Ben Zhao, Computer Science, UCSB, USA (Social network measurement, social 
data analysis and anonymization)
 *    Zhi-Hua Zhou, Computer Science, Nanjing U., China (Data mining, machine 
learning)


Website: http://user.informatik.uni-goettingen.de/~fu/hotsocial/
Contact us: hotsocial2012 -- at -- easychair.org

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