[Kdml] CfP: ACONTA / MARAMI - Augmented Complex Networks - Trustworthy Analysis & 12th Conference on Network Modeling and Analysis

************************************************************ ******* Call for papers: Joint event ACONTA / MARAMI ******* *** Augmented Complex Networks - Trustworthy Analysis & *** ***** 12th Conference on Network Modeling and Analysis ***** ******* Clermont Auvergne University, France ******* ********* 13-15 December 2023 ********* ********* https://marami2023.sciencesconf.org ********* Abstract (2 pages) submission deadline: October 27th, 2023. Overview ======== Complex networks analysis has been shown to be useful for gaining insights in a wide variety of applications domains such as social interactions, ecology, biological, healthcare, safety and security, and many more. These applications have motivated the extension of network models to richer representations and augmented complex network models, such as feature-rich and higher-order network models. Examples include multiplex networks, multilayer networks, temporal networks attributed networks and network on networks. Machine learning approaches are being extensively used for obtaining insights into/using these models and for mining knowledge from these models and for a variety of tasks including node classification and role identification, link prediction, community detection, anomaly detection and much more. These tasks are generally required to enable and support critical decisions and should so be largely trustworthy. XAI approaches should be adapted to the networked context, and network analysis can also contribute to devise explainability-oriented features in the targeted applications areas. This joint conference aims to bridge the gap between these areas by exploring the use of complex network analysis and explainability in the following featured application areas: Complex networks in Cybersecurity, safety and security, Biological and ecological networks and Online Social Networks. Submission Guidelines ===================== Contributed talks should either present original work in the targeted area or provide promising directions with respect to work in progress in the focused area. Submitted abstracts (2 pages) must: * be written in English; * contain author names, affiliations, and email addresses; * be formatted according to the CEUR-WS-Template (use the 2-column style): http://ceur-ws.org/Vol-XXX/CEURART.zip * be in PDF + source file(s); make sure that the PDF can be viewed on any platform * Submission should be made using the following submission system: https://marami2023.sciencesconf.org A non exhaustive list of relevant topics is the following: * Network Analysis & Mining * Machine learning with graphs * Community detection, Graph partitioning, Overlapping communities, Local communities * Community assessment and benchmarking * Effective algorithms for sorting nodes in large graphs, Finding patterns in graphs * Visualisation and exploration of large graphs * Study and simulation of phenomena occurring on networks * Network evolution, Link prediction, Diffusion models * Multi-agent systems and networks * Complex networks embedding * Trustworthy machine learning, Explainability, Interpretability * Feature selection or construction for explainability * Attributed networks, Feature-rich networks * Temporal networks, Dynamic networks * Multi-Layer networks, Multiplex networks, Heterogeneous networks * Social networks, Affiliate networks, Social web, Folksonomies, * Applications: – Biological networks, peer-to-peer networks, space networks – Modeling of geographical networks and spatial dynamics – Cybersecurity – Recommendation systems, collaborative filtering – Decision support systems (viral marketing, epidemics) The proceedings of the conference will be published in HAL. Furthermore, we will also consider publishing a selection of extended contributed papers in a special issue of the Computational Intelligence journal. Organization ============ * Issam Falih, Clermont Auvergne University / LIMOS CNRS UMR 6158, France * Maria Malek, CY Cergy Paris University / ETIS CNRS UMR 8051, France * Martin Atzmueller, Osnabrück University & German Research Center for AI (DFKI), Germany * Rushed Kanawati, Sorbonne Paris Nord University / LIPN CNRS UMR 7030, France Important Dates =============== * Abstract submission deadline: October 27th, 2023. * Author notification: November 10 , 2023. * Camera ready: November 24, 2023 * Conference: December 13 - 15, 2023 -- Prof. Dr. Martin Atzmueller https://martin.atzmueller.net | https://sis.cs.uos.de ROSEN-Group-Endowed Chair of Semantic Information Systems Institute of Computer Science, Osnabrück University (UOS) Founding Spokesperson of the Joint Lab (JL KI-DS) AI and Data Science | https://jl-ki-ds.uos.de German Research Center for AI (DFKI) | https://www.dfki.de