Preface We are very pleased to welcome our colleagues to the International Conference on Computational Aspects of Social Networks (CASoN-2010) hosted by Taiyuan University of Science and Technology, Machine Intelligence Research Labs (MIR-Labs), National Kaohsiung University of Applied Sciences and Shenzhen Graduate School of Harbin Institute of Technology. Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. These social network systems are usually characterized by the complex network structures and rich accompanying contextual information. Recent trends also indicate the usage of complex network as a key feature for next generation usage and exploitation of the Web. This International conference on “Computational Aspect of Social Networks” is focused on the foundations of social networks as well as case studies, empirical, and other methodological works related to the computational tools for the automatic discovery of Web-based social networks. This conference provides an opportunity to compare and contrast the ethological approach to social behavior in animals (including the study of animal tracks and learning by members of the same species) with web-based evidence of social interaction, perceptual learning, information granulation, the behavior of humans and affinities between web-based social networks.
The main topics cover the design and use of various computational intelligence tools and software, simulations of social networks, representation and analysis of social networks, use of semantic networks in the design and community-based research issues such as knowledge discovery, privacy and protection, and visualization. CASoN-2010 brings together an interdisciplinary venue for social scientists, mathematicians, computer scientists, engineers, computer users, and students to exchange and share their experiences, new ideas, and research results about all aspects (theory, applications and tools) of intelligent methods applied to Social Networks, and to discuss the practical challenges encountered and the solutions adopted.
CASoN-2010 papers cover a broad set of topics with particular emphasis on Social Network Computing Methods such as (but not restricted to):
Automatic discovery and analysis of Web based social networks
Link Topology and Site Hierarchy
Web mining algorithms
Web-Based Cooperative Work
Measures and methodologies
CASoN-2010 is technically sponsored by the IEEE Systems, Man, and Cybernetics Society, Tainan Chapter, IEEE Signal Processing Society and Technically Supported by the IEEE SMC Technical Committee on Intelligent learning in Control Systems, IEEE SMC Technical Committee on Granular Computing, IEEE SMC Technical Committee on Soft Computing and Taiwan Association for Web Intelligence Consortium. Each accepted paper was peer reviewed by at least three or more program committee members. We would like to thank the CASoN-2010 international program committee and the additional reviewers for providing the reviews in time. Our special thanks also go to all the plenary speakers for providing the very interesting and informed talks to catalyze subsequent discussions.
Our special thanks to IEEE Computer Society Press, for all the support and help related to the production of this important scientific work. Finally, we would like to express our sincere gratitude to all the authors and local organizing committees that have contributed towards the success of this conference. We look forward to seeing you in Taiyuan, China during CASoN-2010 September 26-28, 2010.
Gening Xu, Taiyuan University of Science and Technology, China
Bin-Yih Liao, Kaohsiung University of Applied Science, Taiwan
International Advisory Committee
Reda Alhajj, VSB-Technical University of Ostrava, Canada
Katarzyna Wegrzyn-Wolska, ESIGETELAvon-Fontainebleau, France
Yanwei Ruan, Taiyuan University of Science and Technology, China
Janusz Kacprzyk, Polish Academy of Sciences, Poland
Witold Pedrycz, University of Alberta, Canada
Albert Zomaya, University of Sydney, Australia
Tzung-Pei Hong, Kaohsiung University, Taiwan
Shusaku Tsumoto, Shimane University, Japan
Ching-Chih Tsai, Chung Hsing University, Taiwan
Local Organizing Chair
Anhong Wang, Taiyuan University of Science and Technology, China
Zhihua Cui, Taiyuan University of Science and Technology, China
Xinming Li, Taiyuan University of Science and Technology, China
Hsiang-Cheh Huang, University of Kaohsiung, Taiwan
Junlin Li, Taiyuan University of Science and Technology, China
The Second International Conference on Computational Aspects of Social Networks (CASoN-2010) will be held in Taiyuan on 18-20 October, 2010.The conference is hosted by Taiyuan University of Science and Technology.
Proceedings will be published by IEEE CS Press and indexed by EI and ISTP.
The International Conference on Computational Aspects of Social Networks aims to bring together social scientists, mathematicians, computer scientists, engineers, computer users, and students to exchange and share their experiences, new ideas, and research results about all aspects (theory, applications and tools) of intelligent methods applied to Social Network.
International Conference on Computational Aspects of Social Networks
SCOPE: Topics of interest include, but are not limited to:
Recommendations for product purchase, information acquisition and establishment of social relations.
Impact of recommendation models on the evolution of the social network.
Classification models and their application in social recommender systems.
Economical impact of social network discovery.
Use of social networks for marketing.
Search in network
Web page ranking informed by social media.
Search algorithms on social networks.
Anomaly detection in social network evolution.
Data protection inside communities.
Crime data mining and network analysis.
Modeling trust and reputation in social networks.
Misbehavior detection in communities.
Geographical clusters, networks, and innovation.
International Collaborations in e-Social network.
Automatic discovery and analysis of Web based
Link Topology and Site Hierarchy.
Web mining algorithms.
Web-Based Cooperative Work.
Web-Based image and speech signal processing
Web-Based information security and assurance
Papers are invited from prospective authors with interest on the related areas. Each paper should consist of a title, authors' names, postal and email addresses, an up to 150-words abstract, a two-column body with 4 to 6 single-spaced pages and with font size at 10 pts.
All papers must be submitted electronically in PDF format only. Detail instructions will be available in the conference Websites:
Deadline for session proposal March 20, 2010
Deadline for paper submission April 4, 2010
Notification of acceptance May 31, 2010
Camera-ready manuscript submission July 2, 2010
CASoN-2010 Call for Paper
IEEE SMC Technical Committee on Intelligent learning in Control Systems
Suodi Zhang, Shanxi University of Finance&Economics, China
Gang Xie, Taiyuan University of Technology, China
Yu Hu, Taiyuan University of Technology, China
Hong Chen, North University of China, China
Zhen Jin, North University of China, China
Jifu Zhang, Taiyuan University of Science and Technology, China
Deyu Li, Shanxi University, China
Renbin Xiao, Huazhong University of Science and Technology, China
Keynote Speech (I) The Recent Developments in Visual Cryptography
Professor Chin-Chen Chang
Feng-Chia University, Taiwan
The computer technologies have grown significantly in the past years. More and more multimedia products such as digital cameras have become popular, so digital images are shared and transmitted widely over Internet. However, transmitting secret or important images, such as military or commercial images, over Internet is very dangerous. Malicious users may monitor Internet and try to eavesdrop these valuable images. To protect these images, visual cryptography is necessary for secure communications over Internet. Herein, secret image sharing can be applied to achieve the goal of visual cryptography. In this speech, I will talk about some visual cryptosystems based on the concept of secret image sharing.
Also, I'll talk about the concept of designing an authenticatable visual secret sharing. As for the topic of secret image sharing, the secret image sharing scheme uses several noise-like images, called shadows, to replace the original image transmitting over the Internet. The shadows can avoid threats from the illegal persons to access the secret image directly.
Secret image sharing techniques were proposed to be another branch outside traditional cryptographic techniques and steganography. Based on sharing secret images, visual cryptography for binary images, grayscale images and color images will be introduced.
Professor C.C. Chang was born in Taichung, Taiwan on Nov. 12th, 1954. He obtained his Ph.D. degree in computer engineering from National Chiao Tung University. He's first degree is Bachelor of Science in Applied Mathematics and master degree is Master of Science in computer and decision sciences. Both were awarded in National Tsing Hua University. Dr. Chang served in National Chung Cheng University from 1989 to 2005. His current title is Chair Professor in Department of Information Engineering and Computer Science, Feng Chia University, from Feb. 2005.
Prior to joining Feng Chia University, Professor Chang was an associate professor in Chiao Tung University, professor in National Chung Hsing University, chair professor in National Chung Cheng University. He had also been Visiting Researcher and Visiting Scientist to Tokyo University and Kyoto University, Japan. During his service in Chung Cheng, Professor Chang served as Chairman of the Institute of Computer Science and Information Engineering, Dean of College of Engineering, Provost and then Acting President of Chung Cheng University and Director of Advisory Office in Ministry of Education, Taiwan.
Professor Chang's specialties include, but not limited to, data engineering, database systems, computer cryptography and information security. A researcher of acclaimed and distinguished services and contributions to his country and advancing human knowledge in the field of information science, Professor Chang has won many research awards and honorary positions by and in prestigious organizations both nationally and internationally. He is currently a Fellow of IEEE and a Fellow of IEE, UK. And since his early years of career development, he consecutively won Outstanding Youth Award of Taiwan., Outstanding Talent in Information Sciences of Taiwan., AceR Dragon Award of the Ten Most Outstanding Talents, Outstanding Scholar Award of Taiwan., Outstanding Engineering Professor Award of Taiwan, Chung-Shan Academic Publication Awards, Distinguished Research Awards of National Science Council of Taiwan, Outstanding Scholarly Contribution Award of the International Institute for Advanced Studies in Systems Research and Cybernetics, Top Fifteen Scholars in Systems and Software Engineering of the Journal of Systems and Software, and so on. On numerous occasions, he was invited to serve as Visiting Professor, Chair Professor, Honorary Professor, Honorary Director, Honorary Chairman, Distinguished Alumnus, Distinguished Researcher, Research Fellow by universities and research institutes. He also published more than one thousand papers in Information Sciences. In the meantime, he participates actively in international academic organizations and performs advisory work to government agencies and academic organizations.
Keynote Speech (II) The Tale of Human Face Recognition
Professor Liang Chen
University of Northern British Columbia, Canada
What can Computing Machines do better than human beings? The jobs that require "massive" computing resources! But what are we going to "teach" a machine if we human beings do not know how to do a job?
Examples of such "subjective" jobs can be human face recognition, start codon prediction, and etc. There is a gap between our expectation on computing performances and our knowledge on how to do the job. This talk argues that the objective of high accuracy in related research for such jobs leads to nowhere but a general "trial and error" process; and shows by evidence that the current advance in face recognition has indeed not provided a significantly better solution than a trivial pixel matching based method. Therefore, the goal in developing AI algorithms should be shifted from "accuracy" to "stability" so that theoretical rather than fully experimental research can be carried out.
Professor Liang Chen (http://web.unbc.ca/~chenl/) received his PhD in Computer Science from Institute of Software, Chinese Academy of Sciences (Academia Sinica), China, in 1994. He is currently professor of computer science and professor on interdisciplinary program at University of Northern British Columbia (UNBC), BC, Canada. He was the former Chair of Computer Science Department at UNBC. Before coming to Canada in 2001, he spent time in China, France and Japan. Dr. Chen's research areas include pattern recognition, intelligent language tutoring system, and the computational intelligence fields.
Dr. Chen is currently chairing the IEEE Subsection of Northern British Columbia.
University of Electronic Science and Technology of China, China
The development of information systems, especially the explosive growth of Internet and World Wide Web has led to irreversible changes in our life. We are now facing rich and colorful information sources that we could not imagine a decade ago. However, the amount of information is increasing faster than our processing ability, thus evaluating all these alternatives and then making choice becomes infeasible. This information overload problem asks for automatic techniques on information filtering. This presentation will discuss the information filtering problems in large-scale social networks. I will start with the simplest yet the most fundamental information filtering problems: ranking and predicting. Then I will summarize our recent efforts on the personalized recommendation. Finally, I will discuss what the differences between the current- and the next-generation recommender systems are.
Tao Zhou received his Bachelor's degree from the University of Science and Technology of China in 2005. He obtained his Ph. D. majoring theoretical physics from the University of Fribourg in 2010. In March 2010, he was awarded a full professor position in the University of Electronic Science and Technology of China. His main research interests include infophysics, complex networks and human dynamics. He has published more than 110 SCI journal papers, and about 50 papers have been published in prestigious journals, including PNAS, Physical Reviews, New Journal of Physics and Europhysics Letters. Reports on his works appeared in many mainstream academic media, including Nature News, PNAS News, My Science, PhysOrg, TG Daily, Dutch Science Magazine, LˇAtelie, etc. All his publications have received more than 1200 citations according to the Web of Science, and his H-index is equal to 18. He is an editor or guest editor of many scientific journals, including Physics Procedia, Journal of Computer Science and Technology, Journal of Electronic Science and Technology, etc, and a standing referee of more than 20 SCI journals. He was awarded the 2010 Chorafas Prize for Young Scientists (19 young scientists over the world has obtained this prize in 2010), the first prize for Natural Science Progress by Chinese Education Ministry in 2009, and the first prize for Natural Science Progress by Anhui Province in 2009.
Map and Route to Taiyuan University of Science and Technology