TENET
TEmporal NETworks

Satellite in conjuction with International School and Conference on Network Science 2026

About The Event

Temporal networks model systems where entities and interactions evolve over time. Unlike static networks, they capture how changing structures influence key processes by incorporating the timing, order, and duration of connections—crucial in applications ranging from mobility routing to disease spreading. Growing data availability and computational advances have accelerated interest in temporal networks, yet many challenges remain.

At TENET (TEmporal NETworks), we invite contributions that advance temporal network theory, methods, and applications. The satellite brings together researchers from diverse fields to explore how networks change, adapt, and respond to internal and external forces.



Submission deadline

16th March 2026

Pitch talk deadline

4th May 2026


Notification

23th March 2026

Event

1st June 2026

Topics

We welcome contributions on Temporal Networks (also referred to as Dynamic Graphs, Stream Graphs, Time-Varying Networks, Evolving Networks, or Link Streams) applied to any real-world contexts in conjunction with various fields, such as:

  • Network Measures And Metrics
  • Graph machine learning
  • Modeling fairness and ethics
  • Link prediction
  • Software for temporal graph analysis
  • Dynamic community detection
  • Event detection
  • Signed Networks
  • Higher-order interactional data
  • Network Data Collection

Program

Morning

9:15 – 9:30 🎬 Introduction by organizers
9:30 – 10:15 ⭐ Keynote: Alexandre Bovet
Understanding Temporal Networks Through Diffusion and Flows
10:15 – 10:30
⚡ Pitch talks & Poster Session ▼
  • Gubela Nils
    Inferring Transient Behavior Changes During the 2022 Mpox Outbreak Using Adaptive Stochastic Temporal Networks
  • Yunus Emre Tegan
    How Do Network Mechanisms Respond to Shocks?
10:30 – 11:00 ☕ Coffee break & poster session
11:00 – 11:45 ⭐ Keynote: Huijuan Wang
Role of Nodes and Links in Spreading Processes on Temporal Higher-order Networks
11:45 – 12:30
🎤 Invited talks ▼
  • Carolina Mattsson
    Network growth under opportunistic attachment
  • Samantha Dies
    Forecasting Faculty Placement from Temporal Coauthorship Networks
12:30 – 14:30 🍽 Lunch

Afternoon

14:30 – 15:15 ⭐ Keynote: Peter Mucha
Link Prediction in Temporal Networks and Hypergraphs
15:15 – 16:30
🎤 Contributed talks ▼
  • Joshua Stadian
    Party Time: A Temporal Network Dataset of a Social Celebration and its Bursty Dynamics
  • Omar Henderson
    The Structure of Spreading in Temporal Networks
  • Shishir Adhikari
    Exposure Effects on Network Ties in Temporal Networks under Interference and Latent Confounding: Causal Modeling and Reasoning
16:30 – 17:00 ☕ Coffee break & poster session
17:00 – 17:45 ⭐ Keynote: Ingo Scholtes
Temporal Graph Isormorphism and the Expressivity of Temporal GNNs
17:45 – 18:00 🏆 Conclusion and awards

Submissions

The satellite welcomes submissions in two formats: contributed talks and pitch talks.


Contributed Talks
Deadline: 16th March, 2026

For contributed talks, submissions will undergo single-blind peer review with a minimum of two reviewers per paper. Submissions should be at most two pages long in PDF format (including references and only one figure) and should include title, author(s), and affiliation(s). Submissions that do not conform to these requirements will not be reviewed. Available template: [Latex]

Submit your work via the CMT portal: CMT


Pitch Talks
Deadline: 4th May, 2026

The pitch talks session offers a dynamic, fast-paced format where researchers have two minutes to present their work and research identity. This format welcomes both established researchers and newcomers to share their work at any stage – from published results to emerging ideas. Submissions for pitch talks are handled through a simple online form asking for a title and a very short abstract (online form) and are reviewed by the satellite organizers. Each accepted pitch talk will also be assigned a poster during the satellite poster session. Authors whose works are not selected for contributed talks can be invited to participate in the pitch talks (with poster) session.

Fill the form for Pitch Talks: Submit here


For questions related to the submission or participation, please contact the organisers at gald@itu.dk.


Keynote

Max

Alexandre Bovet

University of Zurich,
Switzerland

Alexandre Bovet Alexandre Bovet is an Assistant Professor in Quantitative Network Science at the Department of Mathematics and the Digital Society Initiative. He studied and received his PhD in Physics in 2015 at EPFL. He held postdoctoral positions at ETH Zurich, the City College of New York, the Université catholique de Louvain and the University of Oxford. He was awarded the SNSF Early and Advanced Postdoc Mobility Fellowships and the FNRS Senior Postdoctoral Researcher Fellowship.

Max

Huijuan Wang

TU Delft,
Netherlands

Huijuan Wang is an Associate Professor in the Multimedia Computing Group at Delft University of Technology. She graduated and received her M.Sc. degree (cum laude) in Electrical Engineering at the Delft University of Technology, the Netherlands, in 2005. She obtained her Ph.D. degree (cum laude) in 2009 at the same faculty. Her research focuses on data driven modeling of dynamic processes on temporal, interdependent, and multilayer networks.

Max

Peter J. Mucha

Dartmouth College,
USA

Peter J. Mucha is the Jack Byrne Distinguished Professor in Mathematics at Dartmouth College. He earned M.A. and Ph.D. degrees in Applied and Computational Mathematics at Princeton. He has chaired the department of Mathematics and founded the Department of Applied Physical Sciences at UNC-Chapel Hill. His research focuses on the mathematics on networks, including network representations of data, community detection, and modeling dynamics on and of networks.

Max

Ingo Scholtes

Julius-Maximilians-Universität Würzburg,
Germany

Ingo Scholtes is Professor of Machine Learning for Complex Networks at the Center for Artificial Intelligence and Data Science (CAIDAS), Julius-Maximilians-Universität Würzburg. His research focuses on the intersection of network science, graph learning, and computational social science, with applications spanning information systems, software engineering, ecology, biology, and physics. He is a founding co-chair of the Computational Social Science Section of the German Informatics Society and serves as associate editor for EPJ Data Science and Advances in Complex Systems.


Previous Editions

TENET @ NetSci 2025

Maastricht, Netherlands

TENET @ CCS 2025

Siena, Italy


Organizers

Alessia Galdeman

University of Milan

Andrea Failla

Institute of Information Science and Technologies (ISTI), National Research Council (CNR), Italy

Julia Gastinger

University of Mannheim, Germany

Kevin Teo

UK

Antonio Longa

UiT The Arctic University of Norway

Remy Cazabet

University Lyon 1 Claude Bernard, France