Institute of Mathematics for Industry

Workshops & Conferences



List of workshops & conferences

Structure and Dynamics of Social Networks - Toward Comprehension and Prediction of Human Social Behavior


Hold Date 2012-02-06 10:30~2012-02-10 12:00

Place Seminar Room 7, Faculty of Mathematics building, Ito Campus

Structure and Dynamics of Social Networks - Toward Comprehension and Prediction of Human Social Behavior

Lectures on 2/6(Mon), 7(Tue), 9(Thu), and 10(Fri) will be broadcasted
live via USTREAM

 Date
 
 February 6-10, 2012
 
 Place
 
 Seminar Room 7, Faculty of Mathematics building, Ito Campus
 AccessIto Campus map
 
 Program
 
 6 February 2012, Monday, 10:30~12:00
 Title:Learning to Predict Social Influence in Complex Networks
 Author:Kazumi SAITO (University of Shizuoka)
 Abstract:We observe human social interaction as a process over a
large-scale social network in a wide variety of on-line settings, like
Blog (Weblog) communications, e-mail exchanges and so on. In our
research, we focus on this kind of on-line societies including
Blogosphere and sites such as for social networking, knowledge-sharing
and media-sharing in the World Wide Web, through which behaviors,
ideas and opinions can spread. Clearly, the evolution of social
entities in these on-line societies also reflects complex social
structures and distributed social trends. Thus, it is worth putting
some effort to attempt to find empirical regularities and develop
explanatory accounts of social influence in these complex networks. In
this talk, we present a series of methods for learning to predict
social influence in complex networks, which have been developed by our
research group. We consider that these methods contribute to
understanding basic mechanisms of social evolution like opinion
formation processes in our society.

 7 February 2012, Tuesday, 10:30~12:00
 Title:Epidemic models on Complex Networks
 Author:Takehisa HASEGAWA (Tohoku University)
 Abstract: Epidemic models, such as susceptible-infected-susceptible
(SIS) model and susceptible-infected-recovered (SIR) model, are used
to model computer virus spreading, information propagation, and rumor
spreading, etc. In this talk, we introduce recent studies about
epidemic models on complex networks and discuss some unsolved
problems. We also discuss the percolation transition of networks based
on epidemics.

 8 February 2012, Wednesday, 10:30~12:00
 Title:Recommender and Purchasing Behavior on Web Marketing
 Author:Yoshimi OKADA (Marketing & Technology Labs., IMJ corporation)
 Abstract: The company has the common purpose of offering more of its
products and services to those who want them. It is important in that
context that increasing attention and resources has recently been
allocated to web marketing. In this session, the recommender system
connecting consumers and businesses, and marketing activities that
help consumers' purchase decision making will be discussed.

 9 February 2012, Thursday, 10:30~12:00
 Title:Geographical network constructions by fractal-like hierarchical divisions
          -for future communication networks-

 Author:Yukio HAYASHI (JAIST)
 Abstract: With a review of recent studies in complex network science,
we introduce and discuss the self-organization methods for
constructing communication networks embedded on a geographical space.
In particular, we will show that the proposed model based on a
self-similar tiling has superior properties for both efficient routing
and robustness of connectivity, and that the growing process is
related to a Markov chain and a difference equation in a theoretical
viewpoint.

 10 February 2012, Friday, 10:30~12:00
 Title:Information Sharing on the Twitter during The Great East Japan Earthquake
 Author:Fujio TORIUMI (Graduate School of Information Science, Nagoya University)
 Abstract: Under the catastrophic situation which occurred by The Great
East Japan Earthquake, Many people used social media to communicate
and share information through the series of earthquake events and
aftershocks. We analyzed over 300 million tweets and the Twitter
network in Japan before and after the earthquake, which revealed the
earthquake that occurred in the Twitter milieu itself.