Complex networks: from graph theory to biology

DOI10.1007/s11005-006-0123-1zbMath1107.05088OpenAlexW2111786937WikidataQ63980051 ScholiaQ63980051MaRDI QIDQ861524

Annick Lesne

Publication date: 29 January 2007

Published in: Letters in Mathematical Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11005-006-0123-1

zbMATH Keywords

Markov chainspercolationrandom graphscomplex systemsscale-free networksstatistical ensemblesexcitable dynamicsmotifs

Mathematics Subject Classification ID

Programming involving graphs or networks (90C35) General biostatistics (92B15) Applications of graph theory (05C90) Random graphs (graph-theoretic aspects) (05C80) Stochastic network models in operations research (90B15) Deterministic network models in operations research (90B10) Combinatorial optimization (90C27) Neural networks for/in biological studies, artificial life and related topics (92B20) Interacting random processes; statistical mechanics type models; percolation theory (60K35) General biology and biomathematics (92B05)

Related Items (4)

The generalized porous medium equation on graphs: existence and uniqueness of solutions with \(\ell^1\) data ⋮ Cellular automata on graphs: topological properties of ER graphs evolved towards low-entropy dynamics ⋮ Estimating cellular redundancy in networks of genetic expression ⋮ Instability, complexity, and evolution

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