A Boolean network consists of a discrete set of Boolean variables each of which has a Boolean function (possibly different for each variable) assigned...

determines Boolean values or operators Boolean model (probability theory), a model in stochastic geometry Boolean network, a certain network consisting...

of its regulators in previous time steps (in the Boolean network described below these are Boolean functions, typically AND, OR, and NOT). These functions...

A computer network is a set of computers sharing resources located on or provided by network nodes. Computers use common communication protocols over...

A telecommunications network is a group of nodes interconnected by telecommunications links that are used to exchange messages between the nodes. The...

A social network is a social structure consisting of a set of social actors (such as individuals or organizations), sets of dyadic ties, and other social...

A semantic network, or frame network is a knowledge base that represents semantic relations between concepts in a network. This is often used as a form...

Small-world network example Hubs are bigger than other nodes A small-world network is a graph characterized by a high clustering coefficient and low distances...

Network topology is the arrangement of the elements (links, nodes, etc.) of a communication network. Network topology can be used to define or describe...

context of network theory, a complex network is a graph (network) with non-trivial topological features—features that do not occur in simple networks such as...

probabilistic Boolean networks and can, similarly, be used to model dynamical systems at steady-state. Recursive Bayesian estimation Probabilistic logic network Generalized...

and network science, network theory is a part of graph theory. It defines networks as graphs where the vertices or edges possess attributes. Network theory...

scale-free network is a network whose degree distribution follows a power law, at least asymptotically. That is, the fraction P(k) of nodes in the network having...

Social network analysis (SNA) is the process of investigating social structures through the use of networks and graph theory. It characterizes networked structures...

A network on a chip or network-on-chip (NoC /ˌɛnˌoʊˈsiː/ en-oh-SEE or /nɒk/ knock) is a network-based communications subsystem on an integrated circuit...

A transport network, or transportation network, is a network or graph in geographic space, describing an infrastructure that permits and constrains movement...

In logic and computer science, the Boolean satisfiability problem (sometimes called propositional satisfiability problem and abbreviated SATISFIABILITY...

random Boolean networks depending on their updating scheme. He has also studied the effect of redundancy and modularity on random Boolean networks. Gershenson...

multi-level network of logic elements. Starting from an RTL description of a design, the synthesis tool constructs a corresponding multilevel Boolean network. Next...

in which complex networks need to be modeled – many random graph models are thus known, mirroring the diverse types of complex networks encountered in different...

A spatial network (sometimes also geometric graph) is a graph in which the vertices or edges are spatial elements associated with geometric objects, i...

NetworkX is a Python library for studying graphs and networks. NetworkX is free software released under the BSD-new license. NetworkX began development...

determines Boolean values or operators Boolean model (probability theory), a model in stochastic geometry Boolean network, a certain network consisting...

complexity, a Boolean circuit is a mathematical model for combinational digital logic circuits. A formal language can be decided by a family of Boolean circuits...

systems as a means to distinguish life from non-life. She used the Boolean network model, information theory, and other models to discern feasible universal...

of a network when nodes or links are added. This is a geometric type of phase transition, since at a critical fraction of addition the network of small...

together". The presence of homophily has been discovered in a vast array of network studies: over 100 studies have observed homophily in some form or another...

random field Gibbs measure Hopfield model Ising model Potts model Boolean network Markov random field Percolation Pitman–Yor process Point process Cox...

vector databases, for example in the context of embeddings from neural networks in large language models. Databases that use HNSW as search index include:...

ordinary differential equation, boolean network, or Linear regression models, e.g. Least-angle regression, by Bayesian network or based on Information theory...