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Network-based diffusion analysis (NBDA) is a statistical tool to detect and quantify social transmission of information or a behaviour in social networks
Network-based diffusion analysis
Network-based_diffusion_analysis
Analysis of social structures using network and graph theory
Metcalfe's law Mosaic effect Netocracy Network-based diffusion analysis Network science Organizational network analysis Organizational patterns Small world phenomenon
Social_network_analysis
Image-generating machine learning model
Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology
Stable_Diffusion
Technique for the generative modeling of a continuous probability distribution
In machine learning, diffusion models, also known as diffusion-based generative models or score-based generative models, are a class of latent variable
Diffusion_model
Theory on how and why new ideas spread
recent diffusion research, even as the field has expanded into, and been influenced by, other methodological disciplines such as social network analysis and
Diffusion_of_innovations
Large baleen whale species
feeding has also been observed in solitary humpbacks. Using network-based diffusion analysis, one study argued that whales learned lobtailing from other
Humpback_whale
Type of convolutional neural network
convolutional neural network that was developed for image segmentation. The network is based on a fully convolutional neural network whose architecture
U-Net
Study of graphs as a representation of relations between discrete objects
sociology. Amongst many other applications, social network analysis has been used to understand the diffusion of innovations, news and rumors. Similarly, it
Network_theory
Interdisciplinary field
segmentation: This method is based on the idea of evolution of segmentation function which is governed by an advection-diffusion model. To segment an object
Medical_image_computing
representation learning are based on diffusion maps and their extensions to handle multiple modalities. Multi-view diffusion maps address the challenge
Multimodal representation learning
Multimodal_representation_learning
Software which facilitates quantitative or qualitative analysis of social networks
Social network analysis (SNA) software is software which facilitates quantitative or qualitative analysis of social networks, by describing features of
Social network analysis software
Social_network_analysis_software
Approach to decision-making and policy based on empirical data and analysis
Evidence-based policy (also known as evidence-informed policy or evidence-based governance) is a concept in public policy that advocates for policy decisions
Evidence-based_policy
Overview of and topical guide to machine learning
Constructing skill trees Decision tree learning Dehaene–Changeux model Diffusion map Dominance-based rough set approach Dynamic time warping Error-driven learning
Outline_of_machine_learning
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
Method of utilizing water in magnetic resonance imaging
Diffusion-weighted magnetic resonance imaging (DWI or DW-MRI) is the use of specific MRI sequences as well as software that generates images from the
Diffusion-weighted magnetic resonance imaging
Diffusion-weighted_magnetic_resonance_imaging
Type of artificial neural network
method to train arbitrarily deep neural networks. It is based on layer by layer training through regression analysis. Superfluous hidden units are pruned
Feedforward_neural_network
Mathematical tool
Main path analysis is a mathematical tool, first proposed by Hummon and Doreian in 1989, to identify the major paths in a citation network, which is one
Main_path_analysis
Academic field
sociology. Amongst many other applications, social network analysis has been used to understand the diffusion of innovation, news and rumors. Similarly, it
Network_science
Signal processing computational method
potentially involving ICA-based analysis, have been used in real-world cyberespionage cases. In 2010, the FBI uncovered a Russian spy network known as the "Illegals
Independent component analysis
Independent_component_analysis
predominant architecture used by large language models such as GPT-4. Diffusion models were first described in 2015, and became the basis of image generation
History of artificial neural networks
History_of_artificial_neural_networks
Social structure made up of a set of social actors
network analysis to identify local and global patterns, locate influential entities, and examine dynamics of networks. For instance, social network analysis
Social_network
Properties of the operation of a secure cipher
In cryptography, confusion and diffusion are two properties of a secure cipher identified by Claude Shannon in his 1945 classified report A Mathematical
Confusion_and_diffusion
Geometric algorithm
dimensionality reduction methods such as principal component analysis (PCA), diffusion maps are part of the family of nonlinear dimensionality reduction
Diffusion_map
Subfield of machine learning
approaches: using (cyclic) networks with external or internal memory (model-based) learning effective distance metrics (metrics-based) explicitly optimizing
Meta-learning (computer science)
Meta-learning_(computer_science)
Class of artificial neural network
updated at each time step based on the current input and the previous hidden state. This feedback mechanism allows the network to learn from past inputs
Recurrent_neural_network
Large-scale brain network involved in detecting and attending to relevant stimuli
The network is detectable through independent component analysis of resting state fMRI images, as well as seed based functional connectivity analysis. The
Salience_network
Class of artificial neural networks
"You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis". Network and Distributed Systems Security Symposium. doi:10.14722/ndss.2020
Graph_neural_network
Machine learning technique useful for dimensionality reduction
nodes and their arrangement are specified beforehand based on the larger goals of the analysis and exploration of the data. Each node in the map space
Self-organizing_map
Type of machine learning model
replacing statistical phrase-based models with deep recurrent neural networks. These early NMT systems used LSTM-based encoder-decoder architectures
Large_language_model
Stochastic diffusion search (SDS) was first described in 1989 as a population-based, pattern-matching algorithm. It belongs to a family of swarm intelligence
Stochastic_diffusion_search
area of social network analysis. Most of the early work in heterophily was done in the 1960s by Everett Rogers in his book Diffusion Of Innovations.
Heterophily
Computational model used in machine learning
1971 paper described a deep network with eight layers trained by this method, training layer by layer via regression analysis. Superfluous hidden units
Neural network (machine learning)
Neural_network_(machine_learning)
Machine learning technique
Meta-Pi network: building distributed knowledge representations for robust multisource pattern recognition" (PDF). IEEE Transactions on Pattern Analysis and
Mixture_of_experts
Theory of cultural learning in non-human animals
through social networks. These networks are currently being analyzed through computational methods such as network-based diffusion analysis (NBDA). In wild
Animal_culture
Approach in data analysis
correlation-based (COP) and tensor-based outlier detection for high-dimensional data One-class support vector machines (OCSVM, SVDD) Replicator neural networks,
Anomaly_detection
Deep learning method
learning. The core idea of a GAN is based on the "indirect" training through the discriminator, another neural network that can tell how "realistic" the
Generative adversarial network
Generative_adversarial_network
Class of algorithms for pattern analysis
machine learning, kernel machines are a class of algorithms for pattern analysis, whose best known member is the support-vector machine (SVM). These methods
Kernel_method
Type of feedforward neural network
a multilayer perceptron (MLP) is a kind of modern feedforward neural network consisting of fully connected neurons with nonlinear activation functions
Multilayer_perceptron
Projection of data onto lower-dimensional manifolds
difference between diffusion maps and principal component analysis is that only local features of the data are considered in diffusion maps as opposed to
Nonlinear dimensionality reduction
Nonlinear_dimensionality_reduction
tools. Particle based simulators treat each molecule of interest as an individual particle in continuous space, simulating molecular diffusion, molecule-membrane
List of systems biology modeling software
List_of_systems_biology_modeling_software
Mathematical study of waiting lines, or queues
ISBN 978-0-7695-3360-5. S2CID 2714909. Chen, H.; Whitt, W. (1993). "Diffusion approximations for open queueing networks with service interruptions". Queueing Systems. 13
Queueing_theory
Overview of and topical guide to deep learning
Diffusion model Energy-based model Generative adversarial network Mixture of experts Graph neural network Graph convolutional network Siamese network
Outline_of_deep_learning
Networks with multiple kinds of relations
real-world systems as multidimensional networks have yielded valuable insight in the fields of social network analysis, economics, urban and international
Multidimensional_network
Machine learning model for vision processing
synthesis, cluster analysis, autonomous driving. ViT had been used for image generation as backbones for GAN and for diffusion models (diffusion transformer
Vision_transformer
Algorithms for matrix decomposition
non-negative matrix approximation is a group of algorithms in multivariate analysis and linear algebra where a matrix V is factorized into (usually) two matrices
Non-negative matrix factorization
Non-negative_matrix_factorization
Reverse-engineering neural networks
while the broader field tended towards gradient-based approaches like saliency maps. Before circuit analysis, work in the subfield combined various techniques
Mechanistic_interpretability
Religious conversion as sociological theory
Roman Empire as diffusion of innovation looks at religious change in the Roman Empire's first three centuries through the lens of diffusion of innovations
Christianization of the Roman Empire as diffusion of innovation
Christianization_of_the_Roman_Empire_as_diffusion_of_innovation
Study of how patterns form by self-organization in nature
a filter called "KPT reaction". Reaction produced reaction–diffusion style patterns based on the supplied seed image. A similar effect to the KPT reaction
Pattern_formation
Machine learning methods using multiple input modalities
Phenaki (2023), and Muse (2023). Unlike later models, DALL-E is not a diffusion model. Instead, it uses a decoder-only transformer that autoregressively
Multimodal_learning
Paradigm in machine learning that uses no classification labels
which can then be used as a module for other models, such as in a latent diffusion model. Tasks are often categorized as discriminative (recognition) or
Unsupervised_learning
Recurrent neural network architecture
2026). "Forecasting Energy Consumption using Recurrent Neural Networks: A Comparative Analysis". arXiv:2601.17110 [cs.CY]. Calin, Ovidiu (14 February 2020)
Long_short-term_memory
Subset of artificial intelligence
Science Computer networks Computer vision Credit-card fraud detection Data quality DNA sequence classification Economics Financial data analysis General game
Machine_learning
Embedding of data within a manifold based on a similarity function
further complicate the task of understanding it. Analysis of the latent space geometry of diffusion models reveals a fractal structure of phase transitions
Latent_space
Theory within social science
constructionism, social shaping of technology, social network theory, normalization process theory, and diffusion of innovations theory are held to be important
Actor–network_theory
Statistical model used in machine learning
as variational autoencoders (VAEs), generative adversarial networks (GANs), or diffusion models, do not explicitly represent the likelihood function
Flow-based_generative_model
Method in natural language processing
include neural networks, dimensionality reduction on the word co-occurrence matrix, probabilistic models, explainable knowledge base method, and explicit
Word_embedding
Data analysis technique
undersampling in data analysis Surrogate data Generative adversarial network Variational autoencoder Data pre-processing Convolutional neural network Regularization
Data_augmentation
Process of automating the application of machine learning
procedures Problem checking Leakage detection Misconfiguration detection Analysis of obtained results Creating user interfaces and visualizations There are
Automated_machine_learning
Integrated circuit technology
asynchronous artificial neural network for efficient learning and inference. Also in 2017 IMEC’s self-learning chip, based on OxRAM, demonstrated music
Neuromorphic_computing
Statistical model of language
been superseded by recurrent neural network–based models, which in turn have been superseded by Transformer-based models often referred to as large language
Language_model
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)
the 2020s, text-to-image models such as Midjourney, DALL-E and Stable Diffusion became widely available to the public, allowing users to quickly generate
AI_art
PDEs Von Neumann stability analysis — all Fourier components of the error should be stable Numerical diffusion — diffusion introduced by the numerical
List of numerical analysis topics
List_of_numerical_analysis_topics
Type of neural network which utilizes recursion
A recursive neural network is a kind of deep neural network created by applying the same set of weights recursively over a structured input, to produce
Recursive_neural_network
Set of learning techniques in machine learning
NIPS. Coates, Adam; Lee, Honglak; Ng, Andrew Y. (2011). An analysis of single-layer networks in unsupervised feature learning (PDF). Int'l Conf. on AI
Feature_learning
Statistics and machine learning technique
different ensemble learning approaches based on artificial neural networks, kernel principal component analysis (KPCA), decision trees with boosting, random
Ensemble_learning
Models used to produce word embeddings
approach was described as "dated". Transformer-based models, such as ELMo and BERT, which add multiple neural-network attention layers on top of a word embedding
Word2vec
Flaw in mathematical modelling
In mathematical modeling, overfitting is the production of an analysis that corresponds too closely or exactly to a particular set of data, and may therefore
Overfitting
System composed of many interacting components
applications for physics education research", finding that "framing a social network analysis within a complexity science perspective offers a new and powerful applicability
Complex_system
Smooth approximation of one-hot arg max
analysis, naive Bayes classifiers, and artificial neural networks. Specifically, in multinomial logistic regression and linear discriminant analysis,
Softmax_function
Increasing value with increasing participation
with the network effect, system dynamics can be used as a modelling method to describe the phenomena. Word of mouth and the Bass diffusion model are
Network_effect
Deep learning generative model to encode data representation
machine learning, a variational autoencoder (VAE) is an artificial neural network architecture introduced by Diederik P. Kingma and Max Welling in 2013.
Variational_autoencoder
Text-to-video model
faced by all current AI video diffusion models” and expected to improve with continued iteration. Like other diffusion-based video generators, LTX-2 can
LTX_(text-to-video_model)
reactions more closely, such as diffusion. One such diffusion model could conceivably consist of a transition function based on the average values of the
Continuous_automaton
Concept in sociology
manage information and are using micro-electronic based technologies." The diffusion of a networking logic substantially modifies the operation and outcomes
Network_society
Class of artificial neural network
gradient-based contrastive divergence algorithm. Restricted Boltzmann machines can also be used in deep learning networks. In particular, deep belief networks
Restricted_Boltzmann_machine
Type of computational models
(2011). "Accounting for Diffusion in Agent Based Models of Reaction-Diffusion Systems with Application to Cytoskeletal Diffusion". PLOS ONE. 6 (9) e25306
Agent-based_model
Structural analysis of a network
networks. There have been written many different representations of the biased random walks on graphs based on the particular purpose of the analysis
Biased_random_walk_on_a_graph
Branch of machine learning
José Eduardo Ricciardi (2023-03-24). "Deep learning diffusion by search trend: a country-level analysis". Future Studies Research Journal: Trends and Strategies
Deep_learning
Metric used to assess image quality
created by a generative model, like a generative adversarial network (GAN) or a diffusion model. The FID compares the distribution of generated images
Fréchet_inception_distance
Large-scale brain network active when not focusing on an external task
default mode network (DMN), also known as the default network, default state network, or anatomically the medial frontoparietal network (M-FPN), is a
Default_mode_network
Software program
Google engineer Alexander Mordvintsev that uses a convolutional neural network to find and enhance patterns in images via algorithmic pareidolia, thus
DeepDream
Extracting features from raw data for machine learning
(2012), "Practical Recommendations for Gradient-Based Training of Deep Architectures", Neural Networks: Tricks of the Trade, Lecture Notes in Computer
Feature_engineering
System where changes of output are not proportional to changes of input
eXogenous inputs) model and the related nonlinear system identification and analysis procedures. These approaches can be used to study a wide class of complex
Nonlinear_system
Machine learning model training problem
processed by the network (the combination of unfolding and backpropagation is termed backpropagation through time). This section is based on the paper On
Vanishing_gradient_problem
Research field that lies at the intersection of machine learning and computer security
machines and neural networks) might be robust to adversaries, until Battista Biggio and others demonstrated the first gradient-based attacks on such machine-learning
Adversarial_machine_learning
Neural network technology
In artificial neural networks, a convolutional layer is a type of network layer that applies a convolution operation to the input. Convolutional layers
Convolutional_layer
Artificial neural network that mimics neurons
performance than second-generation networks. Spike-based activation of SNNs is not differentiable, thus gradient descent-based backpropagation (BP) is not available
Spiking_neural_network
Process of forming order by local interactions
self-assembly, molecular self-assembly, reaction–diffusion systems and oscillating reactions, autocatalytic networks, liquid crystals, grid complexes, colloidal
Self-organization
observed in social networking services. Homophily is a key topic in network science as it can determine the speed of the diffusion of information and
Network_homophily
Method of data analysis
Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data
Principal_component_analysis
AI that generates content
Stable Diffusion in 2022. In November 2022, ChatGPT was released to the public. By 2023, it popularized generative AI for general-purpose text-based tasks
Generative_AI
American communication theorist and sociologist
an American communication theorist and sociologist, who originated the diffusion of innovations theory and introduced the term early adopter.[citation
Everett_Rogers
Optimization algorithm
Feature-based, Conditional Random Field Parsing. Proc. Annual Meeting of the ACL. LeCun, Yann A., et al. "Efficient backprop." Neural networks: Tricks
Stochastic_gradient_descent
Structure in nervous systems
other forms of signaling that arise from neurotransmitter diffusion. The origin of a neural network begins with a simple neuron. Nerve cells, or neurons,
Neural_network_(biology)
Method of improving artificial neural network
are the local optimal weights for the two networks, respectively. Some scholars argue that the above analysis cannot fully capture the performance of batch
Batch_normalization
Process of reducing the number of random variables under consideration
Isomap, which uses geodesic distances in the data space; diffusion maps, which use diffusion distances in the data space; t-distributed stochastic neighbor
Dimensionality_reduction
Study of mapping wiring diagrams
attributes for the network. The data sets were derived from diffusion spectrum imaging (DSI) (Wedeen, 2005), a variant of diffusion-weighted imaging that
Connectomics
Set of methods for supervised statistical learning
vector networks) are supervised max-margin models with associated learning algorithms that analyze data for classification and regression analysis. Developed
Support_vector_machine
Deep learning library
second row (zero-based) # Output: tensor(0.5847) print(a.max()) # Output: tensor(0.8498) The following code block defines a neural network with linear layers
PyTorch
NETWORK BASED-DIFFUSION-ANALYSIS
NETWORK BASED-DIFFUSION-ANALYSIS
Girl/Female
Gujarati, Hindu, Indian, Kannada
God's Artwork; Beautiful Art; God's Grace
Boy/Male
Arabic, French, Hindu, Indian, Marathi, Muslim, Sindhi
Joy; Solved; Based
Biblical
effusion; inclination; theft
Boy/Male
Afghan, African, Arabic, Australian, Chinese, Greek, Indian, Muslim
Brave
Boy/Male
Tamil
Base
Boy/Male
Biblical
Diffusion; inclination; theft.
Boy/Male
Muslim/Islamic
Brave
Girl/Female
Biblical
Effusion of blood.
Biblical
effusion of blood
Male
Egyptian
, the father of Hor-imhotep.
Boy/Male
Arabic, Australian
Smiling
Boy/Male
Muslim
Smiling
Boy/Male
Biblical
Diffusion; inclination; theft.
Girl/Female
Hindu, Indian
Artwork Like Moon
Boy/Male
Indian, Telugu
Radiance; Diffusing Light
Boy/Male
Indian
Base
Girl/Female
British, English
Based
Surname or Lastname
English
English : habitational name from Newark in Cambridgeshire or Newark on Trent in Nottinghamshire, both named from Old English nīwe ‘new’ + weorc ‘fortification’, ‘building’.
Boy/Male
Indian, Sanskrit
Network of Roots; The Ocean
Boy/Male
Muslim/Islamic
Smiling
NETWORK BASED-DIFFUSION-ANALYSIS
NETWORK BASED-DIFFUSION-ANALYSIS
Girl/Female
Spanish
Red haired.
Boy/Male
American, Australian, British, Christian, Dutch, English, German
Firebrand
Male
English
Popular spelling of English Stephen, STEVEN means "crown."
Female
Hebrew
(×¨Ö´× Ö¼Ö¸×”) Hebrew unisex name RINNAH means "shouting for joy." In the bible, this is the name of descendant of Judah. Although this is a masculine name in the bible, it is otherwise used primarily as a feminine name.
Girl/Female
Gujarati, Hindu, Indian, Kannada, Marathi, Sanskrit, Tamil
Poetry in Motion
Boy/Male
Tamil
Glorious, Shineing, The dawn
Girl/Female
Arabic, Hindu, Indian, Muslim
Beautiful
Girl/Female
Tamil
Jivantika | ஜீவஂதிகா
One who gives life
Girl/Female
Muslim/Islamic
Princess
Female
Irish
Irish Gaelic myth name of the daughter of a sea god, NIAMH means "beauty, brightness."Â
NETWORK BASED-DIFFUSION-ANALYSIS
NETWORK BASED-DIFFUSION-ANALYSIS
NETWORK BASED-DIFFUSION-ANALYSIS
NETWORK BASED-DIFFUSION-ANALYSIS
NETWORK BASED-DIFFUSION-ANALYSIS
a.
Having the quality of diffusing; capable of spreading every way by flowing; spreading widely; widely reaching; copious; diffuse.
a.
Having power to diffuse itself; diffusing itself.
a.
Not held by honorable service; as, a base estate, one held by services not honorable; held by villenage. Such a tenure is called base, or low, and the tenant, a base tenant.
a.
Resembling network; retiform.
n.
A pie; baked food.
n.
The act of passing by osmosis through animal membranes, as in the distribution of poisons, gases, etc., through the body. Unlike absorption, diffusion may go on after death, that is, after the blood ceases to circulate.
n.
A net or network; a plexus; particularly, a network of blood vessels or nerves, or a part resembling a network.
v. t.
The act of infusing, pouring in, or instilling; instillation; as, the infusion of good principles into the mind; the infusion of ardor or zeal.
a.
Reduced; lowered; restrained; as, to speak with bated breath.
n.
Any system of lines or channels interlacing or crossing like the fabric of a net; as, a network of veins; a network of railroads.
a.
Alloyed with inferior metal; debased; as, base coin; base bullion.
n.
The act of diffusing, or the state of being diffused; a spreading; extension; dissemination; circulation; dispersion.
imp. & p. p.
of Base
a.
Like network; complicated.
n.
A rustic play; -- called also prisoner's base, prison base, or bars.
n.
A fabric of threads, cords, or wires crossing each other at certain intervals, and knotted or secured at the crossings, thus leaving spaces or meshes between them.
a.
Having a base, or having as a base; supported; as, broad-based.
a.
Morally low. Hence: Low-minded; unworthy; without dignity of sentiment; ignoble; mean; illiberal; menial; as, a base fellow; base motives; base occupations.
n.
Wearing, or protected by, bases.
n.
The act of pouring out; as, effusion of water, of blood, of grace, of words, and the like.