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

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

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

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

A computer network is a collection of communicating computers and other devices, such as printers and smart phones. Today almost all computers are connected...

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), networks of dyadic ties, and other...

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

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...

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

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...

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...

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

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

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

Frauenfelder, Hans; Toroczkai, Zoltan (eds.), "Boolean Modelingof Genetic Regulatory Networks", Complex Networks, Lecture Notes in Physics, vol. 650, Berlin...

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

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

access the network services that are running on the host via the loopback network interface. Using the loopback interface bypasses any local network interface...

example, if m {\displaystyle m} parent nodes represent m {\displaystyle m} Boolean variables, then the probability function could be represented by a table...

A biological network is a method of representing systems as complex sets of binary interactions or relations between various biological entities. In general...

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...

structure of networks or graphs which measures the strength of division of a network into modules (also called groups, clusters or communities). Networks with...

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...

notable individuals who research complex networks, including social networks, biological networks, and semantic networks, among others. Individuals are categorized...

Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive...

Hierarchical network models are iterative algorithms for creating networks which are able to reproduce the unique properties of the scale-free topology...