Temporal networks are powerful models for understanding dynamical complex systems where entities and interactions appear and vanish as time goes by. Unlike static networks, which simply provide a snapshot of a system, temporal networks can provide insights into how the structure changes and how this affects network processes. Incorporating the timing, order, and duration of connections is critical in a wide range of applications, from routing traffic on mobility networks to predicting and hindering the spread of infectious diseases.
Temporal networks are powerful models for understanding dynamical complex systems where entities and interactions appear and vanish as time goes by. Unlike static networks, which simply provide a snapshot of a system, temporal networks can provide insights into how the structure changes and how this affects network processes. Incorporating the timing, order, and duration of connections is critical in a wide range of applications, from routing traffic on mobility networks to predicting and hindering the spread of infectious diseases.
Interest in temporal networks has grown rapidly across disciplines, fueled by advances in (big) data collection and computational tools. Despite significant progress, however, there is still much to be done to fully harness their potential.
Interest in temporal networks has grown rapidly across disciplines, fueled by advances in (big) data collection and computational tools. Despite significant progress, however, there is still much to be done to fully harness their potential.
At TENET (TEmporal NETworks), we welcome contributions to advancing temporal network research, focusing on novel methods, models, and applications. The satellite will bring together researchers from various disciplines to share innovative methodologies, theoretical advances, and empirical insights into how complex systems change, adapt, and respond to internal and external pressures.
At TENET (TEmporal NETworks), we welcome contributions to advancing temporal network research, focusing on novel methods, models, and applications. The satellite will bring together researchers from various disciplines to share innovative methodologies, theoretical advances, and empirical insights into how complex systems change, adapt, and respond to internal and external pressures.
This satellite has also been accepted at NetSci 2025.