-------- Original Message -------- Subject: [WI] BSI2013: Extended Call for Papers (Now Due on January 26, 2013) Date: Fri, 25 Jan 2013 11:52:30 +0800 From: tulip li lab@tulip.org.au To: undisclosed-recipients:;
BSI2013: Extended Call for Papers (Now Due on January 26, 2013)
Selected quality papers from the workshop will be recommended for publication in World Wide Web Journal
==================================================================================== The 2013 International Workshop on Behavior and Social Informatics (BSI2013) URL: bsi2013.behaviorinformatics.org http://bsi2013.behaviorinformatics.org Submission System: https://www.easychair.org/conferences/?conf=bsi2013
Selected quality papers from the workshop will be recommended for publication in World Wide Web Journal (SCI-Indexed) and other top international journals after substantial extension (to be confirmed).
Held in conjunction with The 2013 Pacific-Asia Conference on Data Mining and Knowledge Discovery (PAKDD2013) URL: http://pakdd2013.pakdd.org/ ====================================================================================
========================== Important Dates ==========================
Paper Submission Deadline:January 26,2013 Author Notification:February 12, 2013 Camera-Ready Deadline:February 28, 2013
========================== Workshop Scope ==========================
Behavior and social science are increasingly recognized as a key component in business intelligence and problem-solving. Behavior and Social Informatics (BSI) has been emerged as a new scientific field that studies effective methodologies, techniques and technical tools for representing, modeling, analyzing, understanding and managing human behaviors and social characteristics. Unlike traditional behavior and social science, which mainly focuses on qualitative and explicit behavior and social appearance and drivers, BSI intends to support explicit behavioral and societal involvement through a conversion from transactional entity spaces to behavior/social feature spaces, through a better understanding of interactions between users and computing systems and better modeling of social concepts like trust, credibility, privacy, and, and influence, further genuine analysis of native behavior/social patterns and impacts, and the facilitation of deployment of information technologies in various socially-centric application domains. A typical BSI process consists of key components including behavior/social modeling and representation, behavior/social data construction, behavior/social impact modeling, behavior/social pattern analysis and utilization, and behavior/social interplay with information technologies. Some popular examples of BSI include web usage and user preference analysis, collective intelligence and crowd behavior, credit evaluation, exceptional behavior analysis of terrorist and criminals, and trading pattern analysis of investors in capital markets.
Recent years have witnessed increasing research attention on behavior/social-oriented analyses including behavioral and social interaction and network, behavioral/social patterns, behavioral/social impacts, the formation of behavioral/social-oriented groups and collective intelligence, and behavioral/social intelligence emergence. This trend raises the need for launching the International Workshop on Behavior and Social Informatics (BSI).BSI’2013 aims to increase potential collaborations and partnerships by bringing together academic researchers and industry practitioners from data mining, statistics and analytics, business and marketing, finance and politics, and behavioral, social and psychological sciences with the objectives to present updated research efforts and progresses on foundational and emerging interdisciplinary topics of BSI, exchange new ideas and identify future research directions.
========================== Topics of Interest ==========================
(1)Foundational Methods •Complex sequence analysis •Temporal-sequential pattern mining •Impact-oriented behavior and social mining •Event/activity/action mining •Agent-based data mining •Frequent pattern mining •Domain-driven behavior mining •Behavior data visualization •Algorithms and protocols inspired by societies
(2)Behavior/Social Modeling and Representation •Computational models of behavior and social informatics •Behavior and social informatics theories •Abstract behavior model •Behavior life cycles •Behavior structure understanding •Behavior detection and extraction •Sequential behavior modeling •Parallel/concurrent behavior modeling •Distributed behavior modeling •Behavior and social dynamics •Temporal-spatial relationship modeling •Behavior and social privacy processing •Modeling social conventions and context
(3)Behavior/Social Pattern Analysis •Frequent behavior/social pattern •Behavior/social classification •Behavior/social clustering •Demographic-behavioral combined pattern •Interaction pattern analysis •Stream behavior/social pattern •Cultural patterns and representation •Social media mining and intelligence •Trust, privacy, risk and credibility in social contexts •Social behavior analysis and synthesis
(4)Behavior/Social Impact Analysis •Positive/negative impact modeling •Risk, benefit, cost and trust of behavior •High-impact behavior identification •Impact-transferred behavior pattern •Cause-effect analysis •Exceptional/outlier behavior •Critical event detection and prediction •Critical group detection and prediction •Social influence analysis and ranking •Social cognition and social intelligence •Impact on people activities in complex and dynamic environments •Impact of technology on socio-economic •Social influence and diffusion models of social influence •Social choice mechanism in e-society
(5)Behavior /Social Emergence •Behavior/social self-organization •Behavior/social evolution •Behavior/social impact emergence •Behavior/social group emergence •Behavior/social mobility •Sentiment analysis and opinion mining and representation •Emotional intelligence and influence process •Social blog, micro-blog, Internet forum •Collaborative filtering, mining and prediction
(6)Behavior/Social Network •Intrinsic mechanisms inside a network •Convergence and divergence of associated behavior •Hidden group and community formation and identification •Behavior/social network topological structures •Linkage formation and identification •Group formation and evolution •Community detection •Community behavior analysis
(7)Behavior/Social Simulation •Behavior convergence and divergence •Behavior learning and adaptation •Group behavior formation and evolution •Social simulation •Behavior/social interaction and linkage •Behavior/social impact emergence •Critical event replay •Emergent event detection and signaling •Handheld/mobile social computing
(8)Behavior/Social Presentation •Rule-based behavior presentation •Flow visualization •Graph-based behavior/social modeling •Sequence presentation and visualization •Dynamic/hidden group presentation •Visual behavior/social network •Social system design and architecture •Group interaction, collaboration, representation and profiling •Opinion dynamics, human and social dynamics •Markey dynamics and crowd behavior
(9)Application-Oriented Behavior/Social Analysis and Mining •Web usage mining and interpretation •Customer analytics •Recommender system and personalization •Fraud detection •Misuse and anomaly detection •Human-computer interactions •AI games •Facial expression and human gesture analysis •Computational linguistics •Intelligent decision support system •Student learning behaviors in intelligent tutoring system •Criminal behavior analysis •Social networking behavior analysis •Behavior analysis in video data. •Enterprise process and workflow analysis •Design and analysis of social/collaborative Web applications •Human-Computer interaction and interface design •Socio-economic systems and applications •Social computing applications and case studies
========================== Paper Submissions ==========================
Submitted papers will have a peer review by the Program Committee on the basis of technical quality, relevance to the conference topics, originality, significance, and clarity.
The proceedings in Springers LNAI series will be post conference, and it will be published in the second half of 2013.
All papers must be submitted electronically in PDF format only, through the following paper submission system: https://www.easychair.org/conferences/?conf=bsi2013
Submitting a paper to the workshop means that if the paper is accepted, at least one author should attend the workshop to present the paper.
========================== Organization Committee ==========================
General Chair Philip S Yu, University of Illinois at Chicago, USA
Program Co-Chairs: Longbing Cao, University of Technology Sydney, Australia Hiroshi Motoda, Osaka University and AFOSR/AOARD, Japan Irwin King, Chinese University of Hong Kong, China
Organizing Chair: Gang Li, Deakin University, Australia Guandong Xu, University of Technology Sydney, Australia
Supported by IEEE Task Force on Behavior and Social Informatics (http://www.behaviorinformatics.org/)