Call for Late Breaking Submissions
We are excited to announce the call for late-breaking research submissions for CompleNet 2025, the 16th Conference on Complex Networks. This is a unique opportunity for researchers and practitioners in all areas of network science to present their most recent, significant findings that emerged after the standard abstract deadline. 

Criteria for Late-Breaking Research

Relevance: Submissions must focus on topics within the broad spectrum of network science.
Novelty: Research of sufficient scientific importance to merit special consideration. We encourage groundbreaking findings and innovative ideas. Ideas that you have been thinking recently.
Publication Status: Ideally, works should be unpublished. However, submissions that are extensions of previously published work will also be considered, provided they bring substantial new insights or developments.

Presentation Format

Late-breaking submissions, if accepted, can be showcased as oral, lightning, or poster presentations. These formats offer a vibrant platform for researchers to discuss their findings, gain insights, and engage with the network science community. 

Submission Guidelines
You should be a minimum of one page and a maximum of two pages in length (standard US Letter or DIN-A4, 1-inch margins, 10-point font, single-spaced), and should be submitted in PDF format. Each abstract must include exactly one figure with a caption. Please note that this figure, as well as any references, are included within the two-page limit. You should use the site here:
https://cmt3.research.microsoft.com/CompleNet2025/

Important dates
Submission deadline: February 10, 2025 (23:59 GMT)
Notification of acceptance: February 22, 2025 
Registration deadline: March 4, 2025 (23:59 GMT)

Topics
Authors are encouraged to submit their contributions in the research areas they work on, as long as the works related to complex networks. Both theoretical and applied contributions are of interest. Specific topics of interest include (but are not limited to):​​
  • Applications of Network Science
  • Biological Networks
  • Brain Networks
  • Cascading Failures and Contagion in Networks
  • Community Structure
  • Computational Social Science
  • Criminal Networks
  • Disease Spread in Populations and Social Networks
  • Dynamics on and of Networks
  • Ecological Networks
  • Ecological Resilience and Network Stability
  • Epidemic Modelling in Networks
  • Financial Networks
  • Generative Network Models
  • Human Behaviour & Social Influence
  • Human Mobility and Networks
  • Impact Performance and Success Prediction
  • Information Diffusion and Virality in Networks
  • Infrastructure Networks (Power grids, water systems, etc.)
  • Interdependent Networks
  • Machine Learning for Network Analysis
  • Multilayer Networks
  • Multiplex Networks
  • Network Algorithms
  • Network Anomaly Detection
  • Network Controllability and Resilience
  • Network Evolution and Growth
  • Network Metrics
  • Network Neuroscience
  • Network Privacy and Security
  • Network Theory and Models
  • Network Topology and Geometry
  • Network-based Machine Learning and AI
  • Networked Markets and Economics
  • Networked Medicine
  • Networks in Politics
  • Network Visualisation
  • Online Social Network Sensing
  • Opinion Dynamics and Polarisation in Social Networks
  • Quantum Networks
  • Recommender Systems and Network-based Collaborative Filtering
  • Robustness and Fragility of Networks
  • Science of Science
  • Social Cohesion and Group Dynamics
  • Social Influence and Opinion Leaders in Networks
  • Social Media Analysis
  • Social Networks
  • Spatial Networks
  • Sustainable Development and Networks
  • Temporal Networks
  • Transportation Networks and Traffic Flow
  • Urban Systems and Networks
​
Benefits of Participating
Feedback and Engagement: Present your work to a diverse audience of experts and peers in the field of network science. Receive valuable feedback and engage in thought-provoking discussions.
Visibility: Gain visibility for your late-breaking research in a prestigious conference setting.
Networking Opportunities: Connect with leading researchers and professionals in network science.

CompleNet 2025 is committed to fostering the exchange of innovative ideas and recent advancements in network science. We eagerly await your submissions and look forward to the dynamic discussions they will inspire.

Contact information
Please direct all questions to the Conference Secretariat at: [email protected]