[AISWorld] CFP: HICSS Minitrack: Data Analytics and Data Mining for Social Media

[Jennifer Xu]

DIGITAL AND SOCIAL MEDIA

Minitrack: Data Analytics and Data Mining for Social Media

For additional information please visit
http://digitalsocialmedia.org/

Social media is changing how we work and play. It is also changing the way
we access and consume media, stay in touch with family and friends, as well
as how we communicate within our on-line communities. One of the things
these activities share in common is that they generate a tremendous volume
of data that can be analyzed and mined for both research and commercial
purposes.

This minitrack focuses on research that brings together social media
(or social networks) and data analytics & data mining. We welcome
quantitative, theoretical or applied papers whose approaches are within
the scope of data analytics and data mining, and closely related areas
(e.g., data warehousing, content mining, network analysis, structure
mining,
business intelligence and knowledge discovery).

Topics of interest include (but are not limited to):

 o Discovery, collection and extraction of Social Media data
 o Text- or image-based mining of Social Media content
 o Opinion mining, sentiment analysis and recommendation analysis
 o Cleaning, curation and provenance of data in social networks
 o Social Network Analysis; exploration of massive social networks
 o Identifying and profiling influential participants, subgroups and
   communities
 o Crowd or cloud computation on Social Media data
 o Predictive and forecasting analytics based on Social Media content
 o Trend analysis to identify emerging terms, topics and ideas
 o Visual analysis of web / network structure, usage and content
 o Semantic representations of on-line content, link analysis and
   linkages
 o Social search, retrieval and ranking
 o Analysis of web-based collective intelligence
 o Performance and scalability of Social Media data management
 o Social innovation and effecting change through Social Media

The PDF for this call for papers can be found at
http://www.hicss.hawaii.edu/hicss_47/track/dsm/DSM-Data.pdf.
Also, we are grateful to David King for his advice and support in putting
together this mini-track. David has been co-chair of the Internet and the
Digital Economy track at HICSS since 1998, and regularly gives tutorials
in this area, including a forthcoming half-day tutorial at HICSS-47.

Minitrack Co-Chairs:

David Yates (Primary Contact)

Computer Information Systems Department
Bentley University
175 Forest Street
Waltham, MA 02452, USA
+1 (781) 891-2735 (phone)
+1 (781) 891-2911 (dept)
+1 (781) 891-2949 (fax)
dyates at bentley.edu

David Yates earned his PhD in Computer Science from the University of
Massachusetts in 2006 and has been an Associate Professor at Bentley
University since 2011. His research interests span from networked devices
(e.g., embedded sensors and actuators) to networked societies. Much of his
recent work has been focused in three areas (i) understanding how best to
bridge the digital divide; (ii) utilizing information and communication
technologies (ICTs) to make government more effective; and (iii) improving
citizen engagement in the political process using ICTs. In the corporate
arena, David was a co-founder and Vice President of Software Development at
InfoLibria -- a startup that grew to become a leading provider of hardware
and software for building content distribution and delivery networks before
it was acquired.

Jennifer Xu

Computer Information Systems Department
Bentley University
175 Forest Street
Waltham, MA 02452, USA
+1 (781) 891-2711 (phone)
+1 (781) 891-2911 (dept)
jxu at bentley.edu

Jennifer Xu is an Associate Professor of Computer Information Systems at
Bentley University. She received her PhD in Management Information Systems
from the University of Arizona in 2005. Her research interests include
knowledge discovery and data mining, social network analysis,
human-computer
interaction, and enterprise systems, with a particular interest in mining
networks for knowledge management and business intelligence purposes. She
has published 50 articles in Information Systems journals, books, and
conference proceedings. She is currently serving on the editorial boards of
International Journal of Social Network Mining and Journal of Security
Informatics.

Dominique Haughton

Mathematical Sciences Department
Bentley University
175 Forest Street
Waltham, MA 02452, USA
+1 (781) 891-2822 (phone)
dhaughton at bentley.edu

Dominique Haughton is Professor of Mathematical Sciences at Bentley
University, and Affiliated Researcher at the Toulouse School of Economics
in Toulouse, France. Her major areas of interest are applied statistics,
statistics and marketing, the analysis of living standards surveys,
data mining, and model selection. She is Editor-in-chief of Case Studies in
Business, Industry and Government Statistics (CSBIGS). Co-editor of The
Vietnamese Household: Explorations Using the Living Standards Measurement
Survey (1992-1993) and Health and Wealth in Vietnam: An Analysis of
Household
Living Standards (1998). She has published over 50 articles in journals
such
as The American Statistician, Telecommunications Policy, Computational
Statistics and Data Analysis, Journal of Interactive Marketing, Journal of
Population Economics, Journal of Biosocial Science, Annals of Statistics,
Communications in Statistics, and Statistica Sinica.
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