[ACONTA'22 : Augmented Complex Networks - Trustworthy Analysis ]
---- with all our apologies for cross-posting ---- ******************************************************************************* Call for papers / Call for participation *** ACONTA: Augmented Complex Networks - Trustworthy Analysis *** Sorbonne Paris North University, Paris, France, 1-2 December 2022 Website: https://lipn.fr/aconta/ ******************************************************************************* IMPORTANT: * Submission deadline (extended): November 7, 2022 * Submission site: https://easychair.org/conferences/?conf=aconta22 * The draft program of the conference can be found here: https://lipn.fr/aconta/aconta-prog.html * You can still submit short papers (4-6 pages) as detailed below. Context ======= Complex networks analysis have 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 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 safety and security * Biological and ecological networks * Online Social Networks Organization ============ The conference will include a set of keynotes and invited talks grounding the different targeted areas: trustworthy machine learning approaches, augmented complex networks models with a special focus on the selected applications fields. The goal is to provide a context to elaborate models and to define actions towards trustworthy approaches in this context of analysing augmented complex networks. These invited talks, to be given by prominent researchers in the respected areas, should contribute to cross-fertilize ideas to ground this new research direction. This will be done in the context of a panel synthesizing different contributions in order to converge on a common understanding, and to point out interesting research directions in the targeted field of trustworthy analysis of augmented complex networks. In order to ease building a community in the targeted area, the conference will also feature contributed talks. For this, there will be an open submission and selection process, such that the conference will provide the opportunity for presenting a selection of contributed works. Contributions / Submission Guidelines ===================================== The 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. Paper submissions (4-6 pages) are solicited according to the following topic list: * Trustworthy machine learning * Explainability * Interpretability * Certification and machine learning * User-centered approaches * Feature construction for explainability * Feature selection for explainability * Feature-rich networks * Attributed networks * Temporal networks * Dynamic networks * Multiplex networks * Multi-Layer networks * Heterogeneous networks * Applications of all of the above in * Complex networks in safety and security * Biological and ecological networks * Online Social Networks All submitted papers 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://easychair.org/conferences/?conf=aconta22 We intend to publish the proceedings of the conference in the CEUR Workshop Proceedings (indexed in Scopus and DBLP). Furthermore, we will also consider publishing a selection of extended contributed papers in a special issue of an international journal. Important dates =============== Submission (extended): November 7, 2022 Notification: November 15, 2022 Camera ready: November 22, 2022 Conference: December 1 - 2 Organisation ============ Martin Atzmueller, Osnabrück University & German Research Center for AI (DFKI), Germany Rushed Kanawati, Univ. Sorbonne Paris Nord / LIPN CNRS UMR 7030, France
participants (1)
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rushed.kanawati@lipn.univ-paris13.fr