ELSNET-List Message

<lab_(on)_tulip.org.au>

* Apologies if you received multiple copies of this announcement.
* Kindly forward to those who may be interested. Thanks.

=================================================================

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

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