The 2nd International Workshop on
Mining Social Network Dynamics (MSND 2013)
To be held in conjunction with
The 22nd International World Wide Web Conference (WWW)
Rio de Janeiro, Brazil
May 13 - 17, 2013
CALL FOR PAPERS
In the real-time Web, the latest evolution of the Web, information is
generated very quickly, consumed by millions of users, and updated rapidly
by others through commenting, replying, transferring, etc. This is practiced
by people who differ in culture, knowledge, background, ideology. Moreover,
information generally comes from several channels and is sent out to
different ones. This is amplified by the social networking phenomenon, the
social Web, which is nowadays a well established set of technologies, based
on which users and service providers can exchange messages through an
interaction network, share information and collaborate, advertise a product,
create communities and influence them, etc. Besides, there is an abundant
literature regarding the different aspects of social networks be it their
construction or the detection of nodes playing specific roles.
However, it is well established that there is currently unclear
understanding of the laws governing these social networks, in particular in
the way they evolve over time. Thus, it is difficult to draw a clear image
linking the existing models of social networks and the real underlying
social mechanisms. As a result, there is a big gap in the evaluation and the
concretization of most of the research efforts in this area. Furthermore,
due to the growing complexity of digital social networks and the huge
quantity of new data available everyday, it becomes crucial for the
researchers to provide a clear understanding of the dynamics of these
networks. It also becomes important for the community to not only understand
what is happening currently in the network but also to predict the next
evolution and monitor the trends in the network. To efficiently analyze
these networks, it is important to be able to predict the dynamics in its
different forms: the content evolution (i.e., hot!
topics evolution), network structure (e.g., creation of new relations),
and information diffusion, influence evolution, etc.
Following the success of the last year's version of this workshop
(http://eric.univ-lyon2.fr/msnd/2012/), we are re-conducting it this year to
attract more researchers and make the event a central location where
researchers working on the issues of mining social network dynamics can meet
again to exchange ideas on open problems. We have also extended the topics
of interest for this workshop, with a particular interest towards dynamics.
And we aims at gathering researchers from the fields of social computing,
machine learning, and data mining to think about the obstacles that hurdle
the leveraging of understanding and capturing of social network dynamics. We
target researchers from both commercial and academic labs to join forces in
this exciting area. We intend to discuss the recent and significant
developments in the general area of mining social network dynamics and to
promote cross-fertilization of techniques. In particular, we aim at
identifying techniques from the data !
mining and machine learning fields that will enable researchers to
understand the dynamic phenomena in social networks and social media, as
well as specify important directions for the research communities.
Understanding, capturing, mining and being able to predict dynamic behaviors
is interesting for several areas such as marketing, security, and Web
search. To address the above mentioned aspects, we solicit the following
topics (but not limited to):
o Information diffusion in social networks;
o Community extraction, analysis, and evolution;
o Detection of (possibly evolving) roles;
o Content evolution and tracking in social networks;
o Social Journalism and news dynamics;
o Social networks affective and sentiment analysis;
o Social media recommendations;
o Information quality and evolution in social content;
o Security and privacy in rapidly evolving social networks;
o Evaluation techniques and benchmarks;
o New challenges in mining social networks;
o Example studies and use cases of dynamics of social
networks.
Paper submission
Submissions need to be formatted according to the ACM SIG Proceedings
Template. Two types of submissions are welcome: long papers with a limit of
8 pages or short ones with 4 pages length limit. We use the EasyChair system
for managing submissions, and the link to submit your paper is here:
http://eric.univ-lyon2.fr/msnd/. Further information will be communicated
soon regarding this special issue.
Key dates:
o Submission deadline: February 12, 2013
o Acceptance notification March 15, 2013
o Camera-Ready submission March 25, 2013
o Workshop date: May 13, 2013
Workshop Co-Chairs:
o Hakim Hacid, Bell Labs, France.
o Shengbo Guo, Xerox Research Centre Europe, France
o Athena Vakali, Aristotle University of Thessaloniki, Greece
Program committee (under construction)
o Julien Bourdaillet, Xerox, USA
o Yiannis Kompatsiaris, CERTH - ITI, Greece
o Amin Mantrach, Yahoo! Research Barcelona, Spain,
o Yosi Mass, IBM Research, Israel,
o Alessandra Sala, Bell Labs, Ireland
o Anna Stavrianou, Xerox Research Centre Europe, France
o Helen Paik, University of New South Wales, Australia
o Wei Peng, Xerox Research Centre Webster, USA
o Tetsuya Yoshida, Hokkaido University, Japan
Contact: msnd@eric.univ-lyon2.fr
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