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Entropy networks have been investigated in many research areas, on the assumption that entropy can be measured in a network. The embodiment of the network
Entropy_network
Measure of connection disorder in a network
In network science, the network entropy is a disorder measure derived from information theory to describe the level of randomness and the amount of information
Network_entropy
Measure of distance to normality
to normality. It is also known as negative entropy or syntropy. The concept and phrase "negative entropy" was introduced by Erwin Schrödinger in his
Negentropy
Average uncertainty in variable's states
In information theory, the entropy of a random variable quantifies the average level of uncertainty or information associated with the variable's potential
Entropy_(information_theory)
Property of a thermodynamic system
Entropy is a thermodynamic state variable that quantifies the probabilistic distribution of accessible microstates in a system. The term and the concept
Entropy
Network that allows computers to share resources and communicate with each other
as facilitated by networking hardware. Within a computer network, hosts are identified by network addresses, which allow networking hardware to locate
Computer_network
Information-theoretic measure
In information theory, the cross-entropy between two probability distributions p {\displaystyle p} and q {\displaystyle q} , over the same underlying
Cross-entropy
Consortium on random number generators
Entropy's network is called drand, (short for decentralized randomness). Active members of the League currently include Arbitrand, Automata Network,
League_of_Entropy
Scientific study of digital information
theory is entropy. In Shannon's formulation entropy is equal to the lack of information about an event. In the above coin flip example, the entropy in the
Information_theory
Non-parametric statistic on information transfer
entropy of X. The above definition of transfer entropy has been extended by other types of entropy measures such as Rényi entropy. Transfer entropy is
Transfer_entropy
Random number generator
has since expanded this concept into a global network of entropy sources, branded as the Wall of Entropy, to diversify its randomness inputs. Other installations
Lavarand
In network theory, the Braunstein–Ghosh–Severini entropy (BGS entropy) of a network is the von Neumann entropy of a density matrix given by a normalized
Braunstein–Ghosh–Severini entropy
Braunstein–Ghosh–Severini_entropy
Mathematical statistics distance measure
statistics, the Kullback–Leibler (KL) divergence (also called relative entropy and I-divergence), denoted D KL ( P ∥ Q ) {\displaystyle D_{\text{KL}}(P\parallel
Kullback–Leibler_divergence
Relationship between the concepts of thermodynamic entropy and information entropy
concept of entropy is central, Shannon was persuaded to employ the same term 'entropy' for his measure of uncertainty. Information entropy is often presumed
Entropy in thermodynamics and information theory
Entropy_in_thermodynamics_and_information_theory
Arrangement of a communication network
Network topology is the arrangement of the elements (links, nodes, etc.) of a communication network. Network topology can be used to define or describe
Network_topology
Social structure made up of a set of social actors
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
Measure of relative information in probability theory
In information theory, the conditional entropy quantifies the amount of information needed to describe the outcome of a random variable Y {\displaystyle
Conditional_entropy
Computing concept
HAVEGE algorithm through haveged to pool entropy. In some systems, network interrupts can be used as an entropy source as well. OpenBSD has integrated cryptography
Entropy_(computing)
Network for communications over distance
A telecommunications network is a group of nodes interconnected by telecommunications links that are used to exchange messages between the nodes. The
Telecommunications_network
Influence of thermodynamics on evolution
Research concerning the relationship between the thermodynamic quantity entropy and both the origin and evolution of life began around the turn of the
Entropy_and_life
Physical law for entropy and heat
appear below. The second law of thermodynamics establishes the concept of entropy as a physical property of a thermodynamic system. It predicts whether processes
Second_law_of_thermodynamics
Study of graphs as a representation of relations between discrete objects
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
Network_theory
Entropy of a substance near absolute zero
Residual entropy is the difference in entropy between a non-equilibrium state and crystal state of a substance close to absolute zero. This term is used
Residual_entropy
Analysis in fluid dynamics
pipe network analysis has recently been developed, based on the maximum entropy method of Jaynes. In this method, a continuous relative entropy function
Pipe_network_analysis
Methods of estimating differential entropy given some observations
the calculation of entropy. A deep neural network (DNN) can be used to estimate the joint entropy and called Neural Joint Entropy Estimator (NJEE). Practically
Entropy_estimation
Principle in Bayesian statistics
The principle of maximum entropy states that, among all probability distributions consistent with a given set of constraints (such as normalization or
Principle_of_maximum_entropy
Physical force that originates from thermodynamics instead of fundamental interactions
an entropic force acting in a system is an emergent phenomenon resulting from the entire system's statistical tendency to increase its entropy, rather
Entropic_force
Deep learning method
_{G}(x)\ln(1-D(x))\right].} The integrand is just the negative cross-entropy between two Bernoulli random variables with parameters ρ ref ( x ) {\displaystyle
Generative adversarial network
Generative_adversarial_network
Probabilistic graphical representation of causal relationships
dynamic Bayesian network, the conditional distribution for the hidden state's temporal evolution is commonly specified to maximize the entropy rate of the
Bayesian_network
Knowledge base that represents semantic relations between concepts in a network
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
Semantic_network
Electronic communication subsystem on an integrated circuit
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
Network_on_a_chip
American semiconductor manufacturer
processors. Home Networking: In 2004, Entropic introduced its MoCA home networking product, which was a chipset to use coaxial cable in a home network. It announced
Entropic_Communications
Pseudorandom number generator file in Unix-like operating systems
secure pseudorandom number generator (CSPRNG). The CSPRNG is seeded with entropy (a value that provides randomness) from environmental noise, collected
/dev/random
Network whose degree distribution follows a power law
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
Scale-free_network
Measure of dependence between two variables
variable. The concept of mutual information is intimately linked to that of entropy of a random variable, a fundamental notion in information theory that quantifies
Mutual_information
Method of representing systems
A biological network is a method of representing systems as complex sets of binary interactions or relations between various biological entities. In general
Biological_network
Graph where most nodes are reachable in a small number of steps
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
Small-world_network
Academic field
Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive
Network_science
Network with non-trivial topological features
be realized by networks with a medium number of interactions. This corresponds to the fact that the maximum information content (entropy) is obtained for
Complex_network
Analysis of social structures using network and graph theory
Social network analysis (SNA) is the process of investigating social structures through the use of networks and graph theory. It characterizes networked structures
Social_network_analysis
Network whose links change over time
A temporal network, also known as a time-varying network, is a network whose links are active only at certain points in time. Each link carries information
Temporal_network
Smoothed ramp function
minimizing logistic loss corresponds to maximizing entropy. This justifies the principle of maximum entropy as loss minimization. Dugas, Charles; Bengio, Yoshua;
Softplus
Standard hostname for a networked device's loopback interface
access the network services that are running on the host via the loopback network interface. Using the loopback interface bypasses any local network interface
Localhost
Maximum-entropy random graph models are random graph models used to study complex networks subject to the principle of maximum entropy under a set of structural
Maximum-entropy random graph model
Maximum-entropy_random_graph_model
Type of feedforward neural network
neural network (CNN) is a type of feedforward neural network that learns features via filter (or kernel) optimization. This type of deep learning network has
Convolutional_neural_network
Type of artificial neural network
S2CID 6758362. Caravelli, F. (2019). "Asymptotic behavior of memristive circuits". Entropy. 21 (8): 789. arXiv:1712.07046. Bibcode:2019Entrp..21..789C. doi:10.3390/e21080789
Physical_neural_network
Approximate nearest neighbor search algorithm
Emmanuelle; Lotker, Zvi (17 May 2009). "Universal augmentation schemes for network navigability". Theoretical Computer Science. 410 (21–23): 1970–1981. doi:10
Hierarchical navigable small world
Hierarchical_navigable_small_world
Type of machine learning model
portions of any given test set. In information theory, the concept of entropy is intricately linked to perplexity, a relationship notably established
Large_language_model
notable individuals who research complex networks, including social networks, biological networks, and semantic networks, among others. Individuals are categorized
List_of_network_scientists
Networks with multiple kinds of relations
procedure is stopped when the objective function, based on the entropy of the network, gets a global maximum. This greedy approach is necessary because
Multidimensional_network
Measure of network community structure
structure of networks or graphs which measures the strength of division of a network into modules (also called groups, clusters or communities). Networks with
Modularity_(networks)
In information theory, the graph entropy is a measure of the information rate achievable by communicating symbols over a channel in which certain pairs
Graph_entropy
Monte Carlo method for importance sampling and optimization
The cross-entropy (CE) method is a Monte Carlo method for importance sampling and optimization. It is applicable to both combinatorial and continuous
Cross-entropy_method
Property of crosslinked rubber
produce the elastic forces within the network chains as a rubber sample is stretched. Two of these arise from entropy changes and one is associated with
Rubber_elasticity
Structural analysis of a network
Kullback–Leibler divergence Markov chain Maximal entropy random walk Random walk closeness centrality Social network analysis Travelling salesman problem Roberta
Biased_random_walk_on_a_graph
Type of biased random walk on a graph
A maximal entropy random walk (MERW) is a popular type of biased random walk on a graph, in which transition probabilities are chosen accordingly to the
Maximal_entropy_random_walk
Clustering and community detection algorithm
algorithm attempts to optimize modularity in extracting communities from networks; however, it addresses key issues present in the Louvain method, namely
Leiden_algorithm
Network homophily refers to the theory in network science which states that, based on node attributes, similar nodes may be more likely to attach to each
Network_homophily
Mathematical theory on behavior of connected clusters in a random graph
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
Percolation_theory
Branch of machine learning
Deep neural networks can be used to estimate the entropy of a stochastic process through an arrangement called a Neural Joint Entropy Estimator (NJEE)
Deep_learning
Class of variational quantum states
These studies have shown that NQS support volume law scaling for the entropy of entanglement. In general, given a NQS with fully-connected weights,
Neural_network_quantum_states
Spatial analysis tools for geographic networks
A transport network, or transportation network, is a network or graph in geographic space, describing an infrastructure that permits and constrains movement
Transport_network_analysis
Concept in thermodynamics
In thermodynamics, enthalpy–entropy compensation is a specific example of the compensation effect. The compensation effect refers to the behavior of a
Enthalpy–entropy_compensation
Type of random number generator
without the use of a dedicated hardware entropy source. An NPTRNG uses a non-physical noise source that obtains entropy from system data, such as outputs of
Non-physical true random number generator
Non-physical_true_random_number_generator
Facts provided or learned about something or someone
mental stimuli, pattern, perception, proposition, representation, and entropy. Information is often processed iteratively: Data available at one step
Information
Scientific collaboration network is a social network where nodes are scientists and links are co-authorships as the latter is one of the most well documented
Scientific collaboration network
Scientific_collaboration_network
Software program
administration of psilocybin). In 2021, a study published in the journal Entropy demonstrated the similarity between DeepDream and actual psychedelic experience
DeepDream
Tendency for similar nodes to be connected
maximum entropy state—which is usually disassortative. The table also has the value of r calculated analytically for two models of networks: the random
Assortativity
In network science, reciprocity is a measure of the likelihood of vertices in a directed network to be mutually linked. Like the clustering coefficient
Reciprocity_(network_science)
Resistance of a password to being guessed
entropy desired for each one. Their answers vary between 29 bits of entropy needed if only online attacks are expected, and up to 96 bits of entropy needed
Password_strength
Network representing spatial objects
A spatial network (sometimes also geometric graph) is a graph in which the vertices or edges are spatial elements associated with geometric objects, i
Spatial_network
Hierarchical network models are iterative algorithms for creating networks which are able to reproduce the unique properties of the scale-free topology
Hierarchical_network_model
Statistical model
In statistics, a maximum-entropy Markov model (MEMM), or conditional Markov model (CMM), is a graphical model for sequence labeling that combines features
Maximum-entropy_Markov_model
Discrete set of Boolean variables
A Boolean network consists of a discrete set of Boolean variables each of which has a Boolean function (possibly different for each variable) assigned
Boolean_network
Degree of connectedness within a graph
graph theory and network analysis, indicators of centrality assign numbers or rankings to nodes within a graph corresponding to their network position. Applications
Centrality
Two closely related models for generating random graphs
related models for generating random graphs and the evolution of a random network. These models are named after Hungarian mathematicians Paul Erdős and Alfréd
Erdős–Rényi_model
High-entropy-alloy nanoparticles (HEA-NPs) are nanoparticles having five or more elements alloyed in a single-phase solid solution structure. HEA-NPs
High-entropy-alloy nanoparticles
High-entropy-alloy_nanoparticles
Process by which people befriend similar people
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
Homophily
Homogeneous mixture of a solute and a solvent
form a solution are said to be immiscible. All solutions have a positive entropy of mixing. The interactions between different molecules or ions may be
Solution_(chemistry)
Structure in nervous systems
"Effectiveness of Biologically Inspired Neural Network Models in Learning and Patterns Memorization". Entropy. 24 (5): 682. Bibcode:2022Entrp..24..682S. doi:10
Neural_network_(biology)
Computer networking concept
multicast traffic (BUM traffic) is network traffic transmitted using one of three methods of sending data link layer network traffic to a destination of which
Broadcast, unknown-unicast and multicast traffic
Broadcast,_unknown-unicast_and_multicast_traffic
( X ) {\displaystyle H(X)} is the entropy of the network, N {\displaystyle N} is the number of nodes in the network, and p i {\displaystyle p_{i}} is
Degree_of_anonymity
German physicist and mathematician (1822–1888)
the second law of thermodynamics. In 1865 he introduced the concept of entropy. In 1870 he introduced the virial theorem, which applied to heat. Clausius
Rudolf_Clausius
2026. Due out on February 11. Romano, Sal (November 11, 2025). "BlazBlue: Entropy Effect X announced for PS5, Xbox Series, and Switch". Gematsu. Retrieved
List of video games released in 2026
List_of_video_games_released_in_2026
Fighting game series
2021-11-30 – via Twitter. Romano, Sal (December 21, 2023). "BlazBlue: Entropy Effect launches January 31, 2024". Gematsu. Retrieved January 1, 2024.
BlazBlue
Evolving networks are networks that change as a function of time. They are a natural extension of network science since almost all real world networks evolve
Evolving_network
Physics phenomenon
the von Neumann entropy of either particle is log(2), which can be shown to be the maximum entropy for 2 × 2 mixed states. Entropy provides one tool
Quantum_entanglement
the study of complex networks, present in both natural and artificial systems such as computer systems, brain and social networks, allowing further development
Fractal_dimension_on_networks
Bicycling route network in the UK
The National Cycle Network (NCN) is a cycling network covering the entire United Kingdom. It was established to encourage cycling and walking throughout
National_Cycle_Network
Method of generating random small-world graphs
graphs do not have two important properties observed in many real-world networks: They do not generate local clustering and triadic closures. Instead, because
Watts–Strogatz_model
hyperbolic geometric graph (HGG) or hyperbolic geometric network (HGN) is a special type of spatial network where (1) latent coordinates of nodes are sprinkled
Hyperbolic_geometric_graph
Scale-free network generation algorithm
Barabási–Albert (BA) model is an algorithm for generating random scale-free networks using a preferential attachment mechanism. Several natural and human-made
Barabási–Albert_model
Browser fingerprinting technique
Amazon's Mechanical Turk, an experimental entropy of 5.7 bits was observed. The authors of the study suggest more entropy could likely be observed in the wild
Canvas_fingerprinting
Unit of information
sometimes also nit or nepit, is a unit of information or information entropy, based on natural logarithms and powers of e, rather than the powers of
Nat_(unit)
Subfield of network science
of interdependent networks is a subfield of network science dealing with phenomena caused by the interactions between complex networks. Though there may
Interdependent_networks
Measure of centrality in a network based on nodal influence
network. It was introduced by Leo Katz in 1953 and is used to measure the relative degree of influence of an actor (or node) within a social network.
Katz_centrality
Ability of a computer system to cope with errors during execution
such as robust programming, robust machine learning, and Robust Security Network. Formal techniques, such as fuzz testing, are essential to showing robustness
Robustness_(computer_science)
Concept in graph theory
In the study of complex networks, a network is said to have community structure if the nodes of the network can be easily grouped into (potentially overlapping)
Community_structure
Notion in statistics
retinal photoreceptors. Fisher information is related to relative entropy. The relative entropy, or Kullback–Leibler divergence, between two distributions p
Fisher_information
Copying network models are network generation models that use a copying mechanism to form a network, by repeatedly duplicating and mutating existing nodes
Copying_network_models
ENTROPY NETWORK
ENTROPY NETWORK
Surname or Lastname
English
English : variant of Fretter, an occupational name for a maker of ornaments (especially for the hair) consisting of jewels set in a lattice network, from an agent derivative of Middle English frette, Old French frete ‘interlaced work’.
Biblical
helper; entry-way
Boy/Male
Indian, Sanskrit
Network of Roots; The Ocean
Boy/Male
Arabic, Biblical
Helper; Entry-way
Boy/Male
Hindu, Indian, Tamil
Entry; Good in Look
Biblical
an entry or vestibule
Boy/Male
Hindu, Indian
An Entry Point into a Dispute
Girl/Female
Biblical
An entry or vestibule.
Girl/Female
Hindu, Indian
Entry
ENTROPY NETWORK
ENTROPY NETWORK
Girl/Female
Hindu
Mysterious, Invisible, Out of sight, Out of sight
Girl/Female
Hindu
Stream
Boy/Male
Hindu, Indian, Punjabi, Sikh
One who Radiates the Lord's Light
Boy/Male
French American Latin
Form of the Latin Marcellus meaning hammer.
Girl/Female
Australian, Christian, Gaelic, Irish
White Shouldered
Boy/Male
Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Telugu
A Good Friend
Girl/Female
Biblical
Coldness, target, weapon.
Boy/Male
Hindu
Mountain of gold
Boy/Male
Biblical
My hour or time.
Boy/Male
Indian
Pre-eminent
ENTROPY NETWORK
ENTROPY NETWORK
ENTROPY NETWORK
ENTROPY NETWORK
ENTROPY NETWORK
n.
The act of entering or passing into or upon; entrance; ingress; hence, beginnings or first attempts; as, the entry of a person into a house or city; the entry of a river into the sea; the entry of air into the blood; an entry upon an undertaking.
n.
Healthy nutrition; soundless as regards the nutritive functions.
p. pr. & vb. n.
of Entrap
n.
The act of making or entering a record; a setting down in writing the particulars, as of a transaction; as, an entry of a sale; also, that which is entered; an item.
pl.
of Entry
n.
A putting upon record in proper form and order.
n.
One who lays snares, or entraps.
n.
An additional or subsequent entry.
n.
Same as Ectopia.
v. t.
See Entrap.
v. t.
To entrap; to insnare.
v. t.
To insnare; to entrap; to entangle; to catch.
v. t.
To catch in a trap; to insnare; hence, to catch, as in a trap, by artifices; to involve in difficulties or distresses; to catch or involve in contradictions; as, to be entrapped by the devices of evil men.
a.
Permissible; done lawfully; as, entry congeable.
n.
The act in addition to breaking essential to constitute the offense or burglary.
v. t.
Fig.: To insnare; to take by stratagem; to entrap.
imp. & p. p.
of Entrap
n.
A certain property of a body, expressed as a measurable quantity, such that when there is no communication of heat the quantity remains constant, but when heat enters or leaves the body the quantity increases or diminishes. If a small amount, h, of heat enters the body when its temperature is t in the thermodynamic scale the entropy of the body is increased by h / t. The entropy is regarded as measured from some standard temperature and pressure. Sometimes called the thermodynamic function.
v. t.
To insnare; to entrap.
a.
Having equal entropy.