CALL FOR PAPERS
Special Session on Data Science Approaches for
Modeling, Analyzing and Mining Networks on Networks
to be held on October 6-9 (Online Event)
co-located with DSAA 2021
** Submission Deadline: 23 May 2021
** Notification of Acceptance: 25 July 2021
** Camera-Ready Versions Due: 8 August 2021
Structures built upon great quantities of networked entities, such as computer networks and social networks, have an undeniable central role in our everyday life. The need to study these complex real-world topologies, together with the growing ability to carry out these studies thanks to technological advances, recently made the use of complex network models pervasive in many disciplines such as computer science, physics, social science, as well as in interdisciplinary research environments. A special focus among others can be made on cyber-physical networks, which refers to multi-layer networks depicting at least two related sets of interactions of different types; some occur in the physical world while others take place in the cyberspace. Social systems, with the ubiquitous use of on-line social media combined with the ubiquitous use of connected devices (smart phones, connected objects) are one obvious example of targeted systems. Modern critical infra-structure systems such as power grids, public transportation systems, financial networks, the World Wide Web and the Internet are further additional examples. In all these different systems, cyber and physical layers evolve at different paces but the evolution of one layer is tightly influencing the dynamic of and on other layers. We use the term Networks on Networks to designate the fact that even if each network (or layer) can be studied separately as frequently done today, our goal is to study the mutual influence among different layers of the same cyber-physical network.
The aim of this special session, is to get an insight into the current status of research in network on networks modeling, analysis and mining, showing how modeling information in Networks on Networks can make it possible to focus on domains and research questions that have not been deeply investigated so far and to improve solutions to classic tasks. We encourage contributions on methods and techniques that are both domain-specific but also transversal to different application domains. We will consider the two main aspects of network analysis: modeling and knowledge discovery. The session should point out this differentiation, and enforce the interaction between researchers from different domains. In particular, we solicit contributions that aim to focus on the analysis of networks on networks, addressing important principles, methods, tools and future research directions in this emerging field. The special session will increase the visibility of the above research themes, and will also bridge research tasks from different fields of data science. Even though the focus is on computer science, the themes of the special session also encourage interdisciplinary discussion about topics touching different fields such as physics, social science and humanities.
Overall, we are interested in receiving papers related to the following
topics which include but are not limited to:
– Foundations of Learning and Mining in Networks on Networks
– Layer Correlation in Networks on Networks
– Centrality and Ranking in Networks on Networks
– Community Detection in Networks on Networks
– Link Prediction in Networks on Networks
– Simplification/pruning/sampling of Networks on Networks
– Embedding and Deep Learning in Networks on Networks
– Visualization of Networks on Networks
– Pattern mining in Networks on Networks
– Probabilistic and Uncertain Networks on Networks
– Domain-driven applications
The special session will in particular target applications in areas related to:
– agricultural monitoring
– cyber-physical systems
– environmental analytics
– human sensing
– industrial risk studies
– landscape analysis
All submitted papers must be written in English.
The paper length allowed for papers submitted to the special session is a maximum of ten (10) pages.
The format of papers is the standard 2-column U.S. letter style IEEE Conference template. See the IEEE Proceedings Author Guidelines: https://www.ieee.org/conferences/publishing/templates.html for further information and instructions.
All submissions will be double-blind reviewed by the Program Committee on the basis of technical quality, relevance to the conference’s topics of interest, originality, significance, and clarity. Author names and affiliations must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Submissions failing to comply with paper formatting and authors anonymity will be rejected without reviews.
Because of the double-blind review process, non-anonymous papers that have been issued as technical reports or similar cannot be considered for DSAA’2021. An exception to this rule applies to arXiv papers that were published in arXiv at least a month prior to DSAA’2021 submission deadline. Authors can submit these arXiv papers to DSAA provided that the submitted paper’s title and abstract are different from the one appearing in arXiv. Papers that appear in arXiv from the DSAA’2021 submission deadline until the review process has ended, will be rejected without reviews.
Authors are also encouraged to support their papers by providing through a git-type public repository the code and data to support the reproducibility of their results.
Martin Atzmueller, Osnabrück University
Roberto Interdonato, CIRAD, Montpellier
Rushed Kanawati, University Sorbonne Paris Nord