*AIMS & TOPICS OF INTEREST*

Recently, social network research has advanced rapidly with the prevalence of the
online social websites and instant messaging social communications systems. In
addition to utilizing a desktop computer to write blogs, upload photos and chat with
friends, an explosively increasing number of people are now used to share personal
location information to friends on the fly with mobile devices, thanks to the
development of broadband wireless networks and location sensing technologies. These
social network systems are usually characterized by complex network structures and
abundant contextual information. Moreover, by incorporating the spatial dimension,
mobile and location-based social networks are now immersed in people’s everyday life
via numerous innovative websites, such Facebook Places, Foursquare, Buddy Beacon,
FindMe, Loopt, and Weibo. In addition, mobile social networks can be exploited to
foster many interesting applications and analysis, such as recommendations of
locations and travel planning of friends, location-based viral marketing, community
discovery, group mobility and behavior modeling, etc.

Researchers are increasingly interested in addressing a wide spectrum of challenges
in mobile social networks to extract useful knowledge, including identifying common
static topological structures and dynamic evolutions of social networks, and
exploiting location-based and contextual information embedded with mobile social
networks to find out useful insights. The insights can provide important implications
on community discovery, anomaly detection, trend prediction with the applications in
many domains, such as recommendation systems, information retrieval, future
prediction, and so on. In light of the above crucial need, sophisticated data mining
and query processing techniques on both social and spatial dimensions are demanding
for extracting representative information from mobile social network. In addition,
the data generated from social networks and social media streams at any time in any
place have outpaced the capability to process, analyze, and mining those datasets. It
is thus imperative to develop scalable and efficient algorithms for processing and
mining Big Data generated from mobile social networks. In contrast to other areas in
data management and mining, social and human factors are also important and thereby
encouraged to be properly included in multidisciplinary and interdisciplinary
research of mobile social networks.

The 1st IEEE International Workshop on Mobile Data Management, Mining, and Computing
on Social Networks (MobiSocial 2013) will serve as a forum for researchers and
technologists to discuss the state-of-the-art, present their contributions, and set
future directions in data management and mining for mobile social networks.

The topics of interest related to this workshop include, but are not limited to:
- Graph mining
- Contextual mobile social network analysis
- Storing, indexing and querying of graph data
- Distributed graph processing
- Mobile social interaction and personalization search
- Dynamics and evolution patterns of social networks, trend prediction
- Analysis and mining of location-based social networks
- Classification models and their applications in social recommender systems.
- Processing of social media stream
- Influence models and their applications in social environment.
- Competitive viral marketing
- Privacy and security in social network
- Modeling trust and reputation in mobile social networks.
- Moving object tracking, indexing and retrieval for social applications
- Location and trajectory mining of social data
- Opinion mining for location related information
- Location privacy, data sharing and security
- Mobile and ubiquitous computing for location-based social networks
- Cloud computing for location-based social data
- Innovative mobile social networking applications
- Multidisciplinary and interdisciplinary research on mobile social networks



*IMPORTANT DATES*

Paper Submissions: Feb. 17 (extended), 2013 (midnight PST)
Notification of Acceptance: March 6, 2013
Camera-Ready Due: March 13, 2013
Workshop Date: June 3, 2013



*SUBMISSION INSTRUCTIONS*

Authors are invited to submit original manuscripts, neither submitted nor accepted
for publication in any other workshop, conference, or journal. The page limits for
regular papers and position papers are 6 pages and 3 pages respectively, including
all figures, tables, and references. The submitted papers must be written in English,
and formatted using the IEEE style:
(http://www.ieee.org/web/publications/pubservices/confpub/AuthorTools/conferenceTemplates.html)

Every submitted paper will be carefully reviewed by at least three Program Committee
members ensure the high quality of the accepted papers. Reviewers are not required to
read the appendices and the paper should be intelligible without them. Authors are
invited to send the manuscripts through EasyChair:
(https://www.easychair.org/conferences/?conf=mobisocial2013)

Submission to this workshop implies the willingness to participate and present in the
workshop. Registration of at least one of the authors for each accepted paper is
mandatory. Authors of accepted papers must also sign a copyright form that will be
made available on the web site of the conference.



*ORGANIZING COMMITTEE*

De-Nian Yang
Institute of Information Science
Academia Sinica
dnyang@iis.sinica.edu.tw

Wang-Chien Lee
Department of Computer Science & Engineering
Pennsylvania State University
wlee@cse.psu.edu



*PROGRAM COMMITTEE*

- Takahiro Hara, Osaka University, Japan
- Vincent S. Tseng, National Cheng Kung University, Taiwan
- Demetris Zeinalipour, University of Cyprus, Cyprus
- Xing Xie, Microsoft Research, China
- Goce Trajcevski, Northwestern University, USA
- Wen-Chih Peng, National Chiao-Tung University, Taiwan
- Haiying Shen, Clemson University, USA
- Yizhou Sun, University of Illinois at Urbana-Champaign, USA
- Shou-De Lin, National Taiwan University, Taiwan
- Wei-Shinn Ku, Auburn University, USA
- Ping Luo, HP Labs, China
- Mi-Yen Yeh, Academia Sinica, Taiwan
- Kun-Ta Chuang, National Cheng Kung University, Taiwan
- Mao Ye, Klout Inc., USA
- Chih-Hua Tai, National Taipei University, Taiwan
- Cheng-Te Li, National Taiwan University, Taiwan