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Category:   E-CFP
Subject:   BSI2013: Extended Call for Papers (Now Due on January 26, 2013)
From:  
Email:   lab_(on)_tulip.org.au
Date received:   25 Jan 2013
Deadline:   26 Jan 2013

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 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/) ATT00001 __________________________________________ - ELSNET mailing list Elsnet-list_(at)_elsnet.org - To manage your subscription go to: http://mailman.elsnet.org/mailman/listinfo/elsnet-list
 

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