[ecoop-info] CFP: International Workshop on Social Network Analysis and Mining using Digital Technology (SNAM-DT)

[lij at ustc.edu]

Web page: http://www.networks.howard.edu/snam-dt.html

International Workshop on Social Network Analysis and Mining using 
Digital Technology (SNAM-DT)

August 17-20, 2014, Niagara Falls, Ontario, Canada

in conjunction with the 9th International Conference on Future Networks 
and Communications (FNC 2014)
http://cs-conferences.acadiau.ca/fnc-14


Objectives:

Since the appearance of human society, (physical) social networks have 
been playing important roles in people's lives. Today, understanding 
social networks is not only important for understanding human society, 
but also critical for healthcare, business, national security and much 
more. In the meantime, new technologies such as mobile phones and social 
media are making dramatic impacts on social networks. To understand the 
quickly evolving networks, It is imperative for researchers to study and 
propose comprehensive social network analysis and mining techniques and 
approaches. In fact, social network studies have advanced significantly 
in recent years. Currently, machine learning techniques and graph 
theoretical approaches have been widely applied to social network 
analysis and mining, which promotes the advancement of social media 
development and foster people to communicate more effectively. 
Nonetheless, more needs to be done. The workshop on social network 
analysis and mining using digital technology (SNAM-DT) aims to provide 
an interdisciplinary venue that brings together researchers from related 
fields to exchange their ideas and experiences of social network study 
as well as to build collaborations. Important aspects in social 
networking analysis and mining will be addressed with theoretical and 
practical approaches. Papers submitted to the workshop will be reviewed 
and assessed by the program committee.

Topics of interest include but not limited to:

     Cyber-based social simulation and computational models
     Social network data collection using digital technology
     Application of social network analysis
     Application of social network mining
     Crime data mining and network analysis
     Data models for social networks and social media
     Data protection inside communities
     Large-scale graph algorithms for social network analysis
     Migration between communities
     Multi-Actor/Multiple-Relationship Networks
     Pattern presentation for end-users and experts
     Personalization for search and for social interaction
     Preparing data for Web mining
     Political impact of social network discovery
     Privacy, security and civil liberty issues
     Recommendations for product purchase, information acquisition and 
establishment of social relations
     Recommendation networks
     Web mining algorithms

Important Dates:

     Full papers submission due: March 29, 2014
     Notification of acceptance: May 24, 2014
     Camera-ready of accepted papers: June 19, 2014
     The Conference: August 17-20, 2014

Program Co-chairs:

     Jiang Li, Howard University,
     Chunmei Liu, Howard University

Program Committee:

     Adam Krzyzak, Concordia University, Canada
     Andrew Kusiak, University of Iowa, USA
     Alfredo Cuzzocrea, ICAR-CNR and University of Calabria, Italy
     Been-Chian Chien, National University of Tainan Tainan, Taiwan
     Chien-Chung Chan, University of Akron, USA
     Dan Braha, New England Complex Systems Institute, USA
     Felix Wu, University of California Davis, USA
     Gang Li, Deakin University, Melbourne Campus at Burwood, Australia
     Huzefa Rangwala, George Mason University, USA
     I-Hsien Ting, International Master of Business Administration 
Program, National University of Kaohsiung, Taiwan
     Julien Velcin, University Lyon 2, France
     Juergen Pfeffer Carnegie Mellon University, USA
     Yan Wang, Macquarie University, Australia
     Rajeev Agrawal, North Carolina A&T State University, United States
     Shenghong Li, Shanghai JiaoTong University, China
     Hsin-Chang Yang, National University of Kaohsiung, Taiwan
     Tzung-Pei Hong, National Univesity of Kaohsiung, Taiwan
     Terrill Frantz, Peking Univ. HSBC Business School, China
     Richard Chbeir, University of Pau and Pays de l'Adour, France
     Soumya Banerjee, Birla Institute of Technology, India
     Lorna Uden, Staffordshire University, United Kingdom
     Haibin Zhu, Nipissing University, Canada
     Soon Ae Chun, City University of New York, United States
     Xufei Wang, Arizona State University, United States
     Wookey Lee, Professor, Inha University, South Korea
     Katharina Anna Zweig, The University of Kaiserslautern, Germany
     Kevin Macnish, University of Leeds, United Kingdom
     Ming Li, Nanjing University, China
     Toshiyuki Amagasa, University of Tsukuba, Japan
     Paolo Garza, Polytechnic University of Turin, Italy
     Weidong Huang, CSIRO ICT Centre, Australia
     Mark Goldberg, Rensselaer Polytechnic Institute, United States
     Alex Thomo, University of Victoria, Canada
     Olfa Nasraoui, University of Louisville, United States
     Marcin Paprzycki, Systems Research Institute of the Polish Academy 
of Sciences, Poland
     Matjaz Gams, Jozef Stefan Institute, Jamova 39, Ljubljana, 
Slovenia, Slovenia
     Kai-Yu Wang, Brock University, Canada
     Mehmed Kantardzic, University of Louisville, United States
     Katina Michael, University of Wollongong, Australia