Zobrazeno 1 - 10
of 2 856
pro vyhledávání: '"higher-order networks"'
Autor:
Perotti, Juan Ignacio
The inference of rankings plays a central role in the theory of social choice, which seeks to establish preferences from collectively generated data, such as pairwise comparisons. Examples include political elections, ranking athletes based on compet
Externí odkaz:
http://arxiv.org/abs/2411.02434
Autor:
Anwar, Md Sayeed, Jenifer, S. Nirmala, Muruganandam, Paulsamy, Ghosh, Dibakar, Carletti, Timoteo
Many natural and human-made complex systems feature group interactions that adapt over time in response to their dynamic states. However, most of the existing adaptive network models fall short of capturing these group dynamics, as they focus solely
Externí odkaz:
http://arxiv.org/abs/2408.12235
Activities such as the movement of passengers and goods, the transfer of physical or digital assets, web navigation and even successive passes in football, result in timestamped paths through a physical or virtual network. The need to analyse such pa
Externí odkaz:
http://arxiv.org/abs/2407.19923
Empirical complex systems are widely assumed to be characterized not only by pairwise interactions, but also by higher-order (group) interactions that affect collective phenomena, from metabolic reactions to epidemics. Nevertheless, higher-order netw
Externí odkaz:
http://arxiv.org/abs/2404.08547
Publikováno v:
Phys. Rev. Research 6, 033003 (2024)
Networks incorporating higher-order interactions are increasingly recognized for their ability to introduce novel dynamics into various processes, including synchronization. Previous studies on synchronization within multilayer networks have often be
Externí odkaz:
http://arxiv.org/abs/2406.03771
Autor:
Tadic, Bosiljka, Melnik, Roderick
In functionally complex systems, higher-order connectivity is often revealed in the underlying geometry of networked units. Furthermore, such systems often show signatures of self-organized criticality, a specific type of non-equilibrium collective b
Externí odkaz:
http://arxiv.org/abs/2404.06175
Autor:
Tian, Hao, Zafarani, Reza
Network data has become widespread, larger, and more complex over the years. Traditional network data is dyadic, capturing the relations among pairs of entities. With the need to model interactions among more than two entities, significant research h
Externí odkaz:
http://arxiv.org/abs/2402.19414
Understanding the dissemination of diseases, information, and behavior stands as a paramount research challenge in contemporary network and complex systems science. The COVID-19 pandemic and the proliferation of misinformation are relevant examples o
Externí odkaz:
http://arxiv.org/abs/2402.14938
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-14 (2024)
Abstract A wide variety of complex systems are characterized by interactions of different types involving varying numbers of units. Multiplex hypergraphs serve as a tool to describe such structures, capturing distinct types of higher-order interactio
Externí odkaz:
https://doaj.org/article/751b86818a044bafac81bc760b1c786b
