Call for Papers
Paper Submission
50% discount on the second paper
Notification deadline
- 30 April, 2027
Camera-ready deadline
- 31 May, 2027
Conference dates
- 15 - 17 September, 2027
- Venice, Italy
- Hybrid Conference
Notification deadline
- 1st August 2024
Camera-ready deadline
- 20th August 2024
Scope & Topics
Papers presenting new and original research on game theory as applied broadly to networks are sought. Theoretical research papers as well as research in game theory motivated by network applications are encouraged. Typical, but not exclusive, topics of interest include:
Game theory for networks, including wireless and vehicular networks
Congestion analysis and network design
Traffic networks and equilibria
Mechanism Design for Networks
Game theory for social networks
Game theory for biological networks
Network pricing and resource allocation
Game theory as applied to e-commerce and economic networks
Game theory for emerging technologies
Multi-Agent Reinforcement Learning
Fairness in Resource Allocation
Cooperative and Coalition games
Collusion detection approaches
Game theory for network security/resilience
Approaches for Multi-agent games (e.g., Diplomacy)
Computational Social Choice
Publication
- It must be an extended version of the conference paper with a different title and abstract. In general, 30% of new content must be added.
- The article will be processed once the conference proceedings have been published.
- The article will be processed using the fast-track option.
- Once the conference proceedings are published, the corresponding author should contact us at [email protected] with the details of their article to begin processing.
- EAI Transactions series (Open Access)
- EAI/Springer Innovations in Communications and Computing Book Series (titles in this series are indexed in Ei Compendex, Web of Science, Scopus)
Submission Guidelines
- Go to EasyChair website
- Log in or sign up as new user
- Click the ‘enter as an author’ link and follow the instructions
Submission Guidelines:
- All papers must be submitted in English.
- Previously published work cannot be submitted, nor can it be concurrently submitted to any other conference or journal. These papers will be rejected without review.
- Papers must follow the Springer formatting guidelines (available in the Author’s Kit section).
- Authors must read and agree to the Publication Ethics and Malpractice Statement.
- As per new EU accessibility requirements, going forward, all figures, illustrations, tables, and images should have descriptive text accompanying them. Please refer to the document below, which will assist you in crafting Alternative Text (Alt Text)
Springer AI Policies and Guidance
Full information: https://www.springernature.com/gp/partners/rights-permissions-third-party-distribution
AI Authorship Policy
Large Language Models (LLMs), such as ChatGPT, do not currently satisfy our authorship criteria. Notably an attribution of authorship carries with it accountability for the work, which cannot be effectively applied to LLMs. We thus ask that the use of an LLM be properly documented in the Acknowledgements, or in the Introduction or Preface of the manuscript.
The use of an LLM (or other AI-tool) for “AI assisted copy editing” purposes does not need to be declared. In this context, we define the term “AI assisted copy editing” as AI-assisted improvements to human-generated texts for readability and style, and to ensure that the texts are free of errors in grammar, spelling, punctuation and tone. These AI-assisted improvements may include wording and formatting changes to the texts, but do not include generative editorial work and autonomous content creation. In all cases, there must be human accountability for the final version of the text and agreement from the authors that the edits reflect their original work. This reflects a similar stance taken on the AI generative figures policy, where it was acknowledged that there are cases where AI can be used to generate a figure without being concerned about copyright e.g. to generate a graph based on data provided by the author.
AI Authorship Guidance
Authors should familiarise themselves with the current known risks of using AI models before using them in their manuscript. AI models have been known to plagiarise content and to create false content. As such, authors should carry out due diligence to ensure that any AI-generated content in their book is correct, appropriately referenced, and follow the standards as laid out in our Book Authors’ Code of Conduct.
AI-generated Images Policy
The fast-moving area of generative AI image creation has resulted in novel legal copyright and research integrity issues. As publishers, we strictly follow existing copyright law and best practices regarding publication ethics. While legal issues relating to AI-generated images and videos remain broadly unresolved, Springer Nature journals and books are unable to permit its use for publication.
Exceptions:
- Images/art obtained from agencies that we have contractual relationships with that have created images in a legally acceptable manner.
- Images and videos that are directly referenced in a piece that is specifically about AI and such cases will be reviewed on a case-by-case basis.
- The use of generative AI tools developed with specific sets of underlying scientific data that can be attributed, checked and verified for accuracy, provided that ethics, copyright and terms of use restrictions are adhered to.
* All exceptions must be labelled clearly as generated by AI within the image field.
As we expect things to develop rapidly in this field in the near future, we will review this policy regularly and adapt if necessary.Note: Examples of image types covered by this policy include: video and animation, including video stills; photography; illustration such as scientific diagrams, photo-illustrations and other collages, and editorial illustrations such as drawings, cartoons or other 2D or 3D visual representations. Not included in this policy are text-based and numerical display items, such as: tables, flow charts and other simple graphs that do not contain images. Please note that not all AI tools are generative. The use of non-generative machine learning tools to manipulate, combine or enhance existing images or figures should be disclosed in the relevant caption upon submission to allow a case-by-case review.
AI-generated Images Guidance
For more information on the inclusion of third party content (i.e. any work that you have not created yourself and which you have reproduced or adapted from other sources) please see Rights, Permissions, Third Party Distribution.
Paper Submission
Papers should be submitted through EasyChair and have to comply with the Springer format (see Author’s kit section).
- Regular papers should be 12-20 (excluding references) pages in length.
All conference papers undergo a thorough peer review process prior to the final decision and publication. This process is facilitated by experts in the Technical Program Committee during a dedicated conference period.
Author’s kit – Instructions and Templates
Papers must be formatted using the Springer LNICST Authors’ Kit.
Instructions and templates are available from Springer’s LNICST homepage:
Please make sure that your paper adheres to the format as specified in the instructions and templates.
When uploading the camera-ready copy of your paper, please be sure to upload both:
- a PDF copy of your paper formatted according to the above templates, and
- an archive in .ZIP file, containing LaTeX or Word source material prepared according to the above guidelines.
