Online social networks are web platforms that provide a variety of services. Users may: share locations and community activities, post and tag photos and other media content, as well as contact individuals with similar interests. The rapid growth of social networks, as well as the rapid increase in social media consumption and production have made the analysis of social media and networks a hot topic amongst academic researchers and industry practitioners alike.

SIMBig has become an important venue that has attracted computer scientists, computer engineers, software engineers, and application developers from around the world. The Social Network and Media Analysis and Mining (SNMAM) track of SIMBig will provide a forum that brings both researchers and practitioners to discuss: research trends and techniques related to social networks and media.


PUBLICATION
-----------

Papers accepted in SNMAM 2016 will be published by Springer-Verlag in the LNCS series (LNCS is indexed in ISTP, EI and others) as part of SIMBig 2016 proceedings.

SIMBig 2016 proceedings will be indexed and distributed by DBLP and CEUR-WS. Authors are invited to submit original and unpublished papers representing completed and validated research, portraying a report of work in progress or results of scientific breakthroughs focused on one of the conference topic areas.


IMPORTANT DATES
---------------
20 June 2016 ------- Papers due
15 July 2016 ------- Acceptance notifications
30 July 2016 ------- Final Paper Submission
25 July 2016 ------- Early bird registration deadline
29-31 August 2016 -- Conference held in Cusco, Peru


TOPICS OF INTEREST
------------------
SNMAM 2016 has a broad scope. We invite contributions on theory and practice, including but not limited to the following technical areas.

- Data modeling for social networks and social media
- Dynamics and evolution of social networks
- Topological, geographical and temporal analysis of social networks
- Privacy and security in social networks
- Pattern analysis in social networks
- Community structure analysis in social networks
- Link prediction and recommendation systems
- Propagation and diffusion of information in social networks
- Detection of spam, misinformation and malicious activities in social networks
- Location-based social networks
- Modeling of user behavior and interaction in social networks
- Information retrieval in social network and media services
- Business and political impact in social network and media analysis
- Big data issues in social network and media analysis
- Monitoring social networks and media
- Analysis of the relationship between social media and traditional media
- Exploratory and visual data mining of social network and media data


SUBMISSION GUIDELIINES
----------------------
Authors should submit a paper in English, addressing one or several of the conference areas or topics. Papers for SNMAM 2016 should be submitted through the SIMBig online submission system, which is also the online review system for the conference: https://easychair.org/conferences/?conf=simbig2016