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ELSNET-List Message
| 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: |
- |
* 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
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