Special Issue on “Social Behaviors and Learning in Smart Communities” – IxD&A

Special Issue on “Social Behaviors and Learning in Smart Communities”

to be published at the Interaction Design and Architecture(s) Journal (IxD&A) (ISSN 1826-9745)

Guest Editors:

• Mihai Dascalu, Department of Computer Science, University Politehnica of Bucharest, Romania

• Philippe Dessus, Laboratory of Educational Sciences, University Grenoble Alpes, France

• Stefan Trausan-Matu, Department of Computer Science, University Politehnica of Bucharest, Romania


Important dates:

*** Deadline: 15 September, 2014 ***

Other important dates:

• Notification to the authors: 15 October, 2014

• Deadline for submission of the final camera ready version of accepted papers: 10 November, 2014

• Publication of the special issue: end of November 2014


Smart communities are at the heart of social innovation. Based on networks of people and knowledge, these communities are able to foster the development of a collective intelligence. Through interaction, this may produce more adequate decision making and improvement of all kinds of processes – working, learning, policy definition, etc.

Smart communities analysis and benchmarking is of paramount importance for gathering information, in order to investigate about their evolution and for producing models of the social interaction, knowledge building and learning which occur in it; the latter in return form the basis of collective intelligence.

Natural language processing techniques, social networks analysis and other analytics tools concur to outline a comprehensive toolkit aimed at capturing the multiple facets of social interaction and of learning processes that take place within smart communities and can be used also to provide in-depth understanding of fundamental notions such as:

identity, privacy, relationships, culture, knowledge building, reputation, motivations, responsibility, attention, safety and fairness that constitute the ground values of societies.

In this context, our aim consists of stimulating inter-disciplinary contributions in the domains of informatics (focusing on adaptive and collaborative technologies), sociology, educational sciences, cognitive psychology, etc. to get a deeper insight of smart communities.

Topics of Interests

The special issue welcomes original research papers from topics including, but not restricted to:

• Natural Language Processing;

• Text and Opinion Mining;

• Sentiment analysis;

• Recommender systems;

• Semantic web technologies and applications;

• Social Network Analysis;

• Social and semantic bookmarking, tagging and annotation;

• Computer-Supported Collaboration (learning, working, etc.);

• Learning analytics tools; • Creativity fostering;

• Intelligent interfaces and information visualization on the Web.



Natural language processing, social network analysis, learning analytics, knowledge building.


Submission procedure

The manuscripts should be submitted either in .doc or in .rtf format.

All papers will be blindly peer-reviewed by at least two reviewers.

Authors are invited to submit a 8-14 pages paper (including authors’ information, abstract, all tables, figures, references, etc.).

The paper should be written according to the IxD&A authors’ guidelines

-> http://www.mifav.uniroma2.it/inevent/events/idea2010/index.php


Authors’ guidelines

Link to the paper submission page:

http://www.mifav.uniroma2.it/idea2010/login.php (when submitting the paper please choose Domain Subjects under: “IxD&A special issue: ‘Social Behaviors and Learning in Smart Communities’)

More information on the submission procedure and on the characteristics of the paper format can be found on the website of the IxD&A Journal where information on the copyright policy and responsibility of authors, publication ethics and malpractice are published.

For scientific advices and for any query please contact the guest-editors:

• mihai.dascalu[at]cs.pub.ro

marking the subject as: “‘IxD&A special issue on: Social behaviors and learning in smart communities'”

Ralf Klamma has diploma, doctoral and habilitation degrees in computer science from RWTH Aachen University. He leads the research group “advanced community information systems” (ACIS) at the information systems chair, RWTH Aachen University. He is coordinating and working in major EU projects for Technology Enhanced Learning (Learning Layers, GALA, METIS and BOOST), He is member of the research excellence cluster "Ultra High Speed Mobile Information and Communication" (UMIC) specialized in mobile multimedia. Ralf organized doctoral summer schools and conferences in Technology Enhanced Learning, and Social Network Analysis. He is on the editorial board of Social Network Analysis and Mining (SNAM) and other journals. His research interests are community information systems, multimedia metadata, social network analysis and technology enhanced learning.