TRACK ON SOCIAL NETWORK AND MEDIA ANALYSIS AND MINING (SNMAM)


Call for Papers

Online social networks are web platforms that provide a variety of services. In such platforms users may share locations and community activities, post and tag photos and other media contents, as well as contact individuals with similar interests. The rapid growth of online social networks, as well as the increase in consumption and production of social media, have made the analysis of social networks one of the most relevant topics of current academic research and industry applications.

SIMBig has becoming an important venue that has attracted computer scientists, computer engineers, software engineers, and application developers who work on networks and web based-methods. Within the general symposium, the Social Network and Media Analysis and Mining (SNMAM) track will provide a forum that brings both researchers and practitioners to discuss research trends and techniques related to social networks and media. Therefore, it will be welcome experimental and theoretical works on social network and media analysis and mining along with their application to real world problems.

Full papers will be reviewed and assessed by the Program Committee. Accepted papers will be published in the proceedings of SIMBig 2018 as well as indexed on DBLP (see the previous published papers here). The best papers could be published in Springer CCIS Series.

Scope and Topics


We plan to include all the important topics related to social network and media analysis and mining within SNMAM. The topics suitable for SNMAM include, but not limited to:

  • 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
  • Crowd sourcing of network data generation and collection
  • 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
  • Mobile computing and applications on 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
  • Monitoring social networks and media
  • Analysis of the relationship between social media and traditional media
  • Exploratory and visual data mining of social networks and media data
  • Ethics and privacy in social network and media services
  • Big data issues in social network and media analysis
  • New applications and services arising from big data, social networks and social media.

Long Papers

Long Papers are limited to a total of 14 (fourteen) pages, including all content and references, and must be in PDF formatted with the Springer publication format.

Short Papers

Short Papers are limited to a total of 7 (seven) pages, including all content and references, and must be in PDF formatted with the Springer publication format.

Demostrations

Demonstration Papers are limited to a total of 7 (seven) pages, including all content and references, and must be in PDF formatted with the Springer publication format.

Paper Submission Guidelines


All research submissions must be in English. Submissions must be in PDF, formatted with the Springer Publications format. For details on the Springer style, see here.

Easychair Submissions Website


Paper registration is required, allowing the inclusion of the paper in the conference proceedings. At least one author of each accepted paper MUST present the paper.

Paper registration and submissions to SNMAM will be handled using the EasyChair system. The address to paper registration is here.

Organizing


Jorge Valverde Rebaza
Jorge Valverde Rebaza

PhD in Computer Science

Department of Scientific Research

Visibilia, Brazil

jvalverr@visibilia.net.br

Alneu de Andrade Lopes
Alneu de Andrade Lopes

PhD in Computer Science

Department of Computer Science, ICMC

University of São Paulo, Brazil

alneu@icmc.usp.br

Program Committee


  • Alexandre Donizeti, Federal University of ABC, Brazil,
  • Brett Drury, Scicrop, Brazil,
  • Fabricio Olivetti de França, Federal University of ABC, Brazil,
  • Huei Diana Lee, Western Paraná State University, Brazil,
  • Lilian Berton, Federal University of São Paulo, Brazil,
  • Luca Rossi, Aston University, United Kingdom,
  • Mathieu Roche, CIRAD, TETIS and University of Montpellier, France,
  • Nazli Bagherzadeh Karimi, National University of Ireland Galway, Ireland,
  • Newton Spolaôr, Western Paraná State University, Brazil,
  • Nils Murrugara, University of Pittsburgh, USA,
  • Pascal Poncelet, University of Montpellier, France,
  • Pedro Shiguihara Juárez, Universidad Peruana de Ciencias Aplicadas, Peru,
  • Rafael Santos, National Institute for Space Research (INPE), Brazil,
  • Ricardo Campos, Polytechnic Institute of Tomar and LIAAD/INESC TEC, Portugal,
  • Ricardo Marcacini, Federal University of Mato Grosso do Sul, Brazil,
  • Ronaldo C. Prati, Federal University of ABC, Brazil,
  • Sabrine Mallek, Institut Supérieur de Gestion de Tunis, Tunisia,
  • Thiago de Paulo Faleiros, University of Brasilia, Brazil,
  • Victor Stroele, Federal University of Juiz de Fora, Brazil.