Advances in Artificial Intelligence and Machine Learning for Social Networking
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Big Data and Augmented Intelligence".
Deadline for manuscript submissions: closed (15 November 2022) | Viewed by 346
Special Issue Editors
Interests: information security; machine learning; big data analysis; complex system; IoT; artificial intelligence; social networking
Special Issues, Collections and Topics in MDPI journals
Interests: geometric deep learning; machine learning; network science; social network
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence, and specifically machine learning, is quickly becoming more pervasive in many fields, with applications ranging from computer science—cybersecurity, hardware design, and human–machine interactions—to social sciences, such as economics, and life sciences, such as biology. The fast diffusion of machine learning was actualized through the efforts of researchers, whose focus is not only on the applications, but also on the development of novel approaches, algorithms, and models, such as geometric deep learning to learn non-Euclidean data.
The focus of this Special Issue is, thus, twofold: to push the state-of-the-art of graph representation learning with novel approaches, while also providing an overview of existing ones, and to promote their application in complex networks, for instance, to tackle hard or large societal impact problems or to gain novel insights using model “explanation” tools. For instance, social networks offer a very important test bench, since they model very large systems with billions of people interacting with each other in nontrivial ways. In this context, designing novel tools allowing for the study of the evolution of a system while learning a given problem, and to explain the underlying dynamics, may even offer a new perspective on the system and the problem itself.
In summary, this Special Issue aims to discuss and cover trending topics, such as the application of data science and network science and geometric deep learning to socially relevant problems (e.g., cybersecurity, healthcare, biology, economics, and social sciences).
Prof. Michele Malgeri
Dr. Marco Grassia
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- machine and deep learning network science data science artificial intelligence network representation graph embedding complex networks social networks graph representation learning geometric deep learning
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.