Calls for Papers (special): International Journal of Information Technology and Web Engineering (IJITWE)

Special Issue On: Social Media Data Analysis

Guest Editors
Dr. Gabriel Antoniu, Senior Research Scientist, Inria.
Dr. Louis Thomas, Postdoctoral research fellow, Department of Electrical and Computer Engineering University of Alberta, Canada

In the past several years, enormous pioneering research has been performed by numerous researchers in the interdisciplinary fields of data mining, social computing, social network analysis, network science, computer science, and the social sciences. But in the big data era, where hundreds of millions of people spending countless hours on social media to share, communicate, connect, interact, and create user-generated data at an unprecedented rate, social media has become one unique source of big data. This novel source of rich data provides unparalleled opportunities and great potential for research and development. Unfortunately, more data does not necessarily beget more good data, only more of the right (or relevant) data that enables us to glean gems. Social media data differs from traditional data we are familiar with in data mining. Thus, new computational methods are needed to mine the data. Social media data is noisy, free-format, of varying length, and multimedia. Furthermore, social relations among the entities, or social networks, form an inseparable part of social media data; hence, it is important that social theories and research methods be employed with statistical and data mining methods. It is therefore a propitious time for social media mining.

Social media mining is a new and rapidly growing field. It is an interdisciplinary field at the crossroads of disparate disciplines deeply rooted in computer science and social sciences. There is an active community and a large body of literature about social media. The fast-growing interests and intensifying need to harness social media data require research and the development of tools for finding insights from big social media data. Researchers in this emerging field are expected to have knowledge in different areas, such as data mining, machine learning, text mining, social network analysis, and information retrieval, and are often required to consult research papers to learn the state of the art of social media mining. This special issue aims to bring, for academics as well as industrial practitioners, a set of articles discussing the recent patents on core topics of social media mining, including social media data mining, social computing, social network analysis, network science, computer science, the social sciences and so on.

Recommended Topics
Suggested topics include, but are not limited to the following.

  • Social media modelling
  • Social computing
  • Social sciences
  • Social network analysis
  • Social media content analysis
  • Social media search
  • Social recommendation systems
  • Social media query, management, and indexing
  • Social media mining
  • Multi-modality fusion
  • Multimedia summarization, visualization and recommendation
  • Multimedia tagging and annotation
  • Geo-tagged social media analysis
  • Integration of social media with location data
  • User behavior analysis
  • Social media monetization
  • Privacy and security issues
  • New opportunities

Submission Procedure
Authors should prepare their manuscript according to the Editor's guide at All the papers will be peer-reviewed following the International Journal of Information Technology and Web Engineering (IJITWE) reviewing procedures. All papers should uploaded to the submission system and must follow APA style

Important Dates
December 31, 2017: Full paper submission due
March 31, 2018: Paper acceptance decision
May 30, 2017: Publication

All submissions and inquiries should be directed to the attention of:
Gabriel Antoniu
Guest Editor
International Journal of Information Technology and Web Engineering (IJITWE)

Guest Editor's bios
Gabriel Antoniu is a Senior Research Scientist at Inria, Rennes. He leads the KerData research team, focusing on storage and I/O management for Big Data processing on scalable infrastructures (clouds, HPC systems). He received his PhD degree in Computer Science in 2001 from ENS Lyon. He leads several international projects in partnership with Microsoft Research, IBM, Argonne National Lab, the University of Illinois at Urbana Champaign. He served as Program Chair for the IEEE Cluster 2014 conference and regularly serves as a PC member of major conferences in the area of HPC, cloud computing and Big Data (SC, HPDC, CCGRID, Cluster, Big Data, etc.). He has acted as advisor for 15 PhD theses and has co-authored over 100 international publications.

Louis Thomas received his MSc degree in Pure Mathematics from the Mathematics Institute of Jilin University, Jilin, China, in 2010, and his PhD degree in Applied Mathematics from McGill University, Montreal, Canada, in 2015. He was a postdoctoral research fellow at Laboratoire LIP, ENS de Lyon from March 2015 to August 2016. He is currently working as a postdoctoral research fellow at department of Electrical and Computer Engineering, University of Alberta. His research interests are in the areas of lattice reduction with applications in communications, signal processing and cryptography, and sparse recovery. He was a Guest Editor for 4 special issues including one in ACM/Springer Mobile Networks and Applications. He is also a reviewer of many journals, such as JNCA, IEEE Trans on Information Theory, IEEE Transactions on Industrial Informatics. He is also the author of more than ten high-quality papers.

Special Issue On: Web-based Computing and Informatics

Guest Editors
Dr. Shadi A. Aljawarneh, Jordan University of Science & Tech., Jordan

This special issue summarizes the new advancements of Web-based Computing and Informatics such as services, technologies, embedded devices and applications, and explores one key area of growth: Web-based computing and business informatics. To illustrate the role of Computing Applications and Web Services in the growth of services’ industries, an example focusing on the learning, government and security are used. Recommendations for future areas of research are presented.

This special issue will be intended for researchers and practitioners with accepted papers from ICEMIS 2018 who are interested in issues that arise from using applications technologies of web- based computing and business informatics advancements. The manuscript must not be under consideration for publication elsewhere. The extensions of best conference papers in the ICEMIS 2018, Istanbul, Turkey can only be submitted if the papers were completely re-written or substantially extended (75%). For additional questions. please contact the guest editor.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:

  • Data Mining and IDSs
  • Applications with clear lessons learned or evaluations
  • Web for large scale applications
  • Web for desktops or personal information management
  • Web technologies for multimedia, sensors, and situational awareness
  • Web technologies for P2P, services, agents, grids and middleware
  • Web technologies for software and systems engineering
  • E-government
  • Mobile Web
  • Database, IR and AI technologies for the Semantic Web
  • Search, query, integration, and analysis on the Semantic Web
  • Social networks and processes on the Web
  • Web technologies for collaboration and cooperation
  • Representing and reasoning about trust, privacy, and security
  • Cloud computing techniques and approaches
  • Frameworks for developing Web applications
  • Security issues for Web applications
  • Management techniques for large-scale Web applications
  • Scalability issues and techniques
  • Techniques for creating highly interactive Web applications
  • Applications that illustrate interesting new features or implementation techniques
  • Performance measurements of Web applications
  • Web services
  • M-commerce applications, issues, and security
  • Technologies and issues in the business informatics.

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Web-based Computing and Informatics on or before July 31, 2018. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
Dr Shadi A. Aljawarneh
Guest Editor
International Journal of Information Technology and Web Engineering (IJITWE)