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...

In information theory, the entropy of a random variable quantifies the average level of uncertainty or information associated with the variable's potential...

to normality. It is also known as negative entropy or syntropy. The concept and phrase "negative entropy" was introduced by Erwin Schrödinger in his...

pipe network analysis has recently been developed, based on the maximum entropy method of Jaynes. In this method, a continuous relative entropy function...

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...

In information theory, the cross-entropy between two probability distributions p {\displaystyle p} and q {\displaystyle q} , over the same underlying...

Entropy is a scientific concept, most commonly associated with states of disorder, randomness, or uncertainty. The term and the concept are used in diverse...

In information theory, the conditional entropy quantifies the amount of information needed to describe the outcome of a random variable Y {\displaystyle...

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...

entropy states that the probability distribution which best represents the current state of knowledge about a system is the one with largest entropy,...

statistics, the Kullback–Leibler (KL) divergence (also called relative entropy and I-divergence), denoted D KL ( P ∥ Q ) {\displaystyle D_{\text{KL}}(P\parallel...

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...

A computer network is a collection of communicating computers and other devices, such as printers and smart phones. In order to communicate, the computers...

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

Entropy's network is called drand, (short for decentralized randomness). Active members of the League currently include Arbitrand, Automata Network,...

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...

_{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...

concept of entropy is central, Shannon was persuaded to employ the same term 'entropy' for his measure of uncertainty. Information entropy is often presumed...

dynamic Bayesian network, the conditional distribution for the hidden state's temporal evolution is commonly specified to maximize the entropy rate of the...

process." The second law of thermodynamics establishes the concept of entropy as a physical property of a thermodynamic system. It predicts whether processes...

secure pseudorandom number generator (CSPRNG). The CSPRNG is seeded with entropy (a value that provides randomness) from environmental noise, collected...

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...

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...

and electrical engineering. A key measure in information theory is entropy. Entropy quantifies the amount of uncertainty involved in the value of a random...

Hillard (2013). "Dynamical Structure of a Traditional Amazonian Social Network". Entropy. 15 (12): 4932–4955. arXiv:1307.0516. Bibcode:2013Entrp..15.4932H...

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...

Research concerning the relationship between the thermodynamic quantity entropy and both the origin and evolution of life began around the turn of the...

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...

an entropic force acting in a system is an emergent phenomenon resulting from the entire system's statistical tendency to increase its entropy, rather...