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Subject: [ E-CFP ] Second Call for Papers: The 2013 International Workshop on Behavior and Social Informatics (BSI2013)
From: <lab_(on)_tulip.org.au>
Date received: 11 Nov 2012
Deadline: 06 Jan 2013
Start date: -





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BSI2013: Call for Papers (Due on January 06, 2013)

=================================================================
The 2013 International Workshop on Behavior and Social
Informatics (BSI2013) URL: bsi2013.behaviorinformatics.org
Submission System:
https://www.easychair.org/conferences/?conf=bsi2013

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 06,2013 Author Notification:
January 31,2013 Camera-Ready Deadline: February 15, 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.

Selected papers from the workshop will be recommended for special
issues with World Wide Web Journal and other top international
journals after substantial extension (to be confirmed).

==========================
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
Graham Williams, Australian Taxation Office, Australia 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

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