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A Micro Perspective of Research Dynamics Through “Citations of Citations” Topic Analysis

 und    | 28. Juli 2020

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Figure 1

Pl at e diagram of ccTM.
Pl at e diagram of ccTM.

Figure 2

Publication number of each citation generation.
Publication number of each citation generation.

Figure 3

Yearly distribution for each citation generation and original cited paper.
Yearly distribution for each citation generation and original cited paper.

Figure 4

Hinton's cited publication number of each citation generation after preprocessing.
Hinton's cited publication number of each citation generation after preprocessing.

Figure 5

Publication number of each citation generation after preprocessing.
Publication number of each citation generation after preprocessing.

Figure 6

Disappearing topic, inherited topic, and innovative topic distributions of the 8th citation generation.
Disappearing topic, inherited topic, and innovative topic distributions of the 8th citation generation.

Innovative topics over each citation generation.

GenTop 10 Innovative Topic Entities
1artificial intelligence, computation, machine learning, biological neural networks, experiment, neural tube defects, convolutional neural network, synthetic data, simulation, neural networks
2machine learning, experiment, supervised learning, simulation, program optimization, sparse matrix, neural networks, neural network simulation, computation, unsupervised learning
3greater than, solutions, classification, estimation theory, Eisenstein's criterion, pattern recognition, cluster analysis, neural tube defects, feature selection, sensor
4robot, Monte Carlo, Markov model, Eisenstein's criterion, rule guideline, neural network simulation, coefficient, numerical analysis, dynamic programming, high and low level
5numerical analysis, artificial intelligence, heuristic, experiment, solutions, Eisenstein's criterion, computation, requirement, sensor, coefficient
6–21artificial intelligence, Monte Carlo method, biological neural networks, neural network simulation, Bayesian network, Markov chain
22principal component analysis, food, principal component, obesity, platelet glycoprotein 4 human, red meat, whole grains, eaf2 gene, diabetes mellitus, exercise

Disappearing topics over each citation generation.

GenTop 10 Disappearing Topic Entities
1–2generative model, Boltzmann machine, restricted Boltzmann machine, algorithm, inference, pixel, latent variable, gradient, Markov chain, approximation algorithm
3–18artificial neural network, algorithm, generative model, backpropagation, nonlinear system, deep learning, gradient, speech recognition, hidden Markov model, pixel
19artificial neural network, generative model, machine learning, algorithm, restricted Boltzmann machine, convolutional neural network, image resolution, value ethics, Boltzmann machine, gradient
20artificial neural network, hidden Markov model, Markov model, nonlinear system, backpropagation, unsupervised learning, speech recognition, time series, cluster analysis, cognition disorders
21artificial neural network, nonlinear system, generative model, factor analysis, MNIST database, anatomical layer, deep learning, mixture model, unit, gradient
22pixel, restricted Boltzmann machine, gradient, artificial neural network, speech recognition, Boltzmann machine, unsupervised learning, statistical model, deep learning, network architecture

Inherited topics over each citation generation.

GenTop 10 Inherited Topic Entities
1–7artificial neural network, algorithm, deep learning, backpropagation, speech recognition, hidden Markov model, neural network simulation, machine learning, test set, nonlinear system
8–9algorithm, simulation, Markov chain, Monte Carlo method, Monte Carlo, artificial intelligence, principal component analysis, experiment, program optimization, artificial neural network
10–14artificial neural network, backpropagation, generative model, Boltzmann machine, restricted Boltzmann machine, computer data storage, deep learning, speech recognition, feedforward neural network, nonlinear system
15–16simulation, Monte Carlo method, Monte Carlo, algorithm, numerical analysis, Markov chain, dynamic programming, solutions, coefficient, experiment
17artificial neural network, gradient, matching polynomial, nonlinear system, spline interpolation, hidden Markov model, generative model, approximation algorithm, Bayesian network, factor analysis
18simulation, Monte Carlo method, Monte Carlo, computation, computation action, silicon, gradient, distortion, Markov chain, algorithm
19artificial neural network, generative model, machine learning, algorithm, restricted Boltzmann machine, convolutional neural network, image resolution, value ethics, Boltzmann machine, gradient
20artificial neural network, hidden Markov model, Markov model, nonlinear system, backpropagation, unsupervised learning, speech recognition, time series, cluster analysis, cognition disorders
21artificial neural network, nonlinear system, generative model, factor analysis, MNIST database, anatomical layer, deep learning, mixture model, unit, gradient
22artificial intelligence, mitral valve prolapse syndrome, greater than, power dividers and directional couplers, supervised learning, performance, meal occasion for eating, plasminogen activator, nominal impedance, platelet glycoprotein 4 human

Topic-entity distribution of the 8th citation generation.

TopicTop 10 Topic Entities
1numerical analysis, simulation, Monte Carlo, artificial intelligence, dynamic programming, probability, principal component analysis, experiment, Markov chain, controllers
2algorithm, simulation, Markov chain, Monte Carlo method, Monte Carlo, artificial intelligence, principal component analysis, experiment, program optimization, artificial neural network
3artificial neural network, algorithm, fingerprint, genetic programming, biological neural networks, CPU cache, backpropagation, neural network simulation, gradient, discontinuous Galerkin method
4artificial neural network, Boltzmann machine, restricted Boltzmann machine, generative model, backpropagation, pixel, speech recognition, deep learning, MNIST database, mixture model
5fault tolerance, data mining, artificial neural network, brute force search, algorithm, asymptotically optimal algorithm, backpropagation
eISSN:
2543-683X
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
4 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Informatik, Informationstechnik, Projektmanagement, Datanbanken und Data Mining