SNAM-DT 2014 - International Workshop on Social Network Analysis & Mining using Digital Technology

International Workshop on Social Network Analysis and Mining using Digital Technology (SNAM-DT)
The 9th International Conference on Future Networks and Communications
(FNC 2014)
http://cs-conferences.acadiau.ca/fnc-14
August 17-20, 2014, Niagara Falls, Ontario, Canada
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
Submission Guildlines:
Paper Format
The submitted paper must be formatted according to the guidelines of Procedia Computer Science, MS Word Template, Latex, Elsevier.
Paper Length
Submitted technical papers must be no longer than 8 pages including all figures, tables and references.
Paper Submission
Authors are requested to submit their papers electronically using the online conference management system in PDF format before the deadline (see Important Dates).
The submission processes will be managed by easychair.org. If you have used this system before, you can use the same username and password. If this is your first time using EasyChair, you will need to register for an account by clicking "I have no EasyChair account" button. Upon completion of registration, you will get a notification email from the system and you are ready for submitting your paper. You can upload and re-upload the paper to the system by the submission due date.
Publication
All accepted papers will be scheduled for oral presentations and will be printed in the workshop proceedings published by Elsevier Science in the open-access Procedia Computer Science series (on-line). At least one author of each accepted paper is required to register and attend the workshop to present the work.
Program Co-chairs:
Jiang (Leo) Li, Howard University, lij-AT-scs.howard.edu
Chunmei Liu, Howard University, chunmei-AT-scs.howard.edu
　
Program Committee Members:
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, soumyabanerjee-AT-bitmesra.ac.in
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