A single changing hypernetwork to represent (social-)ecological dynamicsuse asterix (*) to get italics

Cedric Gaucherel, Maximilien Cosme, Camille Nous, Franck PommereauPlease use the format "First name initials family name" as in "Marie S. Curie, Niels H. D. Bohr, Albert Einstein, John R. R. Tolkien, Donna T. Strickland"

2023

<p style="text-align: justify;">To understand and manage (social-)ecological systems, we need an intuitive and rigorous way to represent them. Recent ecological studies propose to represent interaction networks into modular graphs, multiplexes and higher-order interactions. Along these lines, we argue here that non-dyadic (non-pairwise) interactions are common in ecology and environmental sciences, necessitating fresh concepts and tools for handling them. In addition, such interaction networks often change sharply, due to appearing and disappearing species and components. We illustrate in a simple example that any ecosystem can be represented by a single hypergraph, here called the ecosystem hypernetwork. Moreover, we highlight that any ecosystem hypernetwork exhibits a changing topology summarizing its long term dynamics (e.g., species extinction/invasion, pollutant or human arrival/migration). Qualitative and discrete-event models developed in computer science appear suitable for modeling hypergraph (topological) dynamics. Hypernetworks thus also provide a conceptual foundation for theoretical as well as more applied studies in ecology (at large), as they form the qualitative backbone of ever-changing ecosystems.</p>

https://github.com/fpom/eccoYou should fill this box only if you chose 'Codes have been used in this study'. URL must start with http:// or https://

Ecosystems, interaction networks, hypergraphs, Petri nets, discrete-event models

NonePlease indicate the methods that may require specialised expertise during the peer review process (use a comma to separate various required expertises).

Algorithms for Network Analysis, Biological Networks, Community structure in networks, Ecological networks, Geometry and topology of networks or graphs, Network models, Qualitative methods in network analysis, Social networks, Temporal networks

AKRIDA Eleni, CARDILLO Alessio, JENSEN pablo, CASTEIGTS Arnaud, PAULEVE Loïc <loic.pauleve@labri.fr>, ILANY Amiyaal, DE DOMENICO Manlio, MELANÇON Guy, Guy Melançon suggested: Johanne Saint-Charles <saint-charles.johanne@uqam.ca>, Amiyaal Ilany suggested: Shai Pilosof: pilos@bgu.ac.il, Elisa Omodei suggested: Federico Battiston BattistonF@ceu.edu, Shai Pilosof [pilos@bgu.ac.il] suggested: Sorry I am swamped!!! , Shai Pilosof [pilos@bgu.ac.il] suggested: Potential:, Shai Pilosof [pilos@bgu.ac.il] suggested: Martin Rosvall or his students, Shai Pilosof [pilos@bgu.ac.il] suggested: Dan Larremore or his students, Shai Pilosof [pilos@bgu.ac.il] suggested: Laura Dee or her students, Matthew Silk suggested: I'm sorry - I am moving house this month as well as being swamped by other deadlines so it is no good me agreeing to review this paper., Matthew Silk suggested: You could potentially think about asking - , Matthew Silk suggested: Matthew Hasenjager - mhasenja@utk.edu, Matthew Silk suggested: or Iacopo Iacopini - iacopiniiacopo@gmail.com, Marta Sales-Pardo suggested: Leto Peel - U Maastricht, Marta Sales-Pardo suggested: Jean-Gabriel Young - U Vermont No need for them to be recommenders of PCI Network Sci. Please do not suggest reviewers for whom there might be a conflict of interest. Reviewers are not allowed to review preprints written by close colleagues (with whom they have published in the last four years, with whom they have received joint funding in the last four years, or with whom they are currently writing a manuscript, or submitting a grant proposal), or by family members, friends, or anyone for whom bias might affect the nature of the review - see the code of conduct

2023-11-03 17:18:11

Cédric Sueur