Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Causes of Similarity-Dissimilarity Effect01:26

Causes of Similarity-Dissimilarity Effect

74
The similarity-dissimilarity effect, a fundamental concept in social psychology, explains how interpersonal similarities and differences influence attraction and social interactions. This effect is supported by three key psychological perspectives: balance theory, social comparison theory, and consensual validation.Balance Theory and Cognitive ConsistencyBalance theory, developed by Fritz Heider, posits that individuals seek cognitive consistency in their relationships. When two people share...
74
Cluster Sampling Method01:20

Cluster Sampling Method

13.4K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
13.4K
Wald-Wolfowitz Runs Test I01:17

Wald-Wolfowitz Runs Test I

781
The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
The test works...
781
Local Attraction01:22

Local Attraction

171
Local attraction refers to disturbances in compass readings caused by magnetic influences from nearby objects such as metal fences, buried pipes, vehicles, buildings, power lines, or natural iron ore deposits. Small items like wristwatches, steel tools, or belt buckles can also interfere with the compass by creating local magnetic fields that distort the Earth's natural magnetic field. These distortions lead to inaccurate readings, posing navigation and land surveying challenges.Local...
171
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

241
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
241
Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

271
The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
271

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Hesitant and uncertain linguistics based executive decision making using risk and regret aversion: Methods, implementation and analysis.

MethodsX·2024
Same author

Artificial intelligence centric scientific research on COVID-19: an analysis based on scientometrics data.

Multimedia tools and applications·2023
Same author

A novel approach for COVID-19 Infection forecasting based on multi-source deep transfer learning.

Computers in biology and medicine·2022
Same author

Deep autoencoder based domain adaptation for transfer learning.

Multimedia tools and applications·2022
Same author

Tuning Dunaliella tertiolecta for Enhanced Antioxidant Production by Modification of Culture Conditions.

Marine biotechnology (New York, N.Y.)·2021
Same author

Interval type-2 fuzzy logic system based similarity evaluation for image steganography.

Heliyon·2020
Same journal

An Evolutionary Algorithm Assisted by an Ensemble of Pareto-Optimal Surrogate Models.

IEEE transactions on cybernetics·2026
Same journal

A Quantum Self-Attention Neural Network Model on Quantum Circuits.

IEEE transactions on cybernetics·2026
Same journal

Semi-Explicit Solution of Some Discrete-Time Higher-Order-Cost Mean-Field-Type Control.

IEEE transactions on cybernetics·2026
Same journal

A Novel One-Step Small Object Detector for Autonomous Aerial Vehicles.

IEEE transactions on cybernetics·2026
Same journal

Online Data-Driven-Based Optimal Output Tracking Control Without Initial Stabilizing Policy.

IEEE transactions on cybernetics·2026
Same journal

Digital Redesign-Based Interval State Estimation for Continuous Systems With Aperiodic Discrete Measurements.

IEEE transactions on cybernetics·2026
See all related articles

Related Experiment Video

Updated: Nov 1, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.7K

NeSiFC: Neighbors' Similarity-Based Fuzzy Community Detection Using Modified Local Random Walk.

Uttam K Roy, Pranab K Muhuri, Sajib K Biswas

    IEEE Transactions on Cybernetics
    |June 24, 2021
    PubMed
    Summary
    This summary is machine-generated.

    A novel fuzzy community detection (FCD) method, NeSiFC, uses neighbor similarity via modified local random walks (mLRW) and a peripheral similarity index (PSI). This approach effectively identifies communities in networks with superior accuracy and quality metrics.

    More Related Videos

    Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
    09:49

    Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

    Published on: September 25, 2021

    4.5K
    Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
    07:12

    Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

    Published on: July 1, 2014

    12.4K

    Related Experiment Videos

    Last Updated: Nov 1, 2025

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
    08:12

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

    Published on: March 1, 2022

    2.7K
    Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
    09:49

    Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

    Published on: September 25, 2021

    4.5K
    Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
    07:12

    Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

    Published on: July 1, 2014

    12.4K

    Area of Science:

    • Network Science
    • Data Mining
    • Computational Social Science

    Background:

    • Community detection is crucial for understanding network structures.
    • Existing fuzzy community detection (FCD) methods often require parameter tuning and are sensitive to network characteristics.
    • There is a need for robust and adaptable FCD algorithms.

    Purpose of the Study:

    • To propose a novel neighbors' similarity-based fuzzy community detection (FCD) method called NeSiFC.
    • To introduce a modified local random walk (mLRW) and peripheral similarity index (PSI) for enhanced neighbor similarity computation.
    • To evaluate the performance of NeSiFC against established FCD algorithms on diverse datasets.

    Main Methods:

    • NeSiFC computes neighbor similarity using a modified local random walk (mLRW).
    • A peripheral similarity index (PSI) is introduced to construct the transition probability matrix for mLRW.
    • Fuzzy membership degrees are iteratively calculated using a fuzzy membership function.

    Main Results:

    • NeSiFC demonstrates outstanding performance in accuracy and quality metrics across various benchmarks and real-world datasets.
    • The method effectively detects both disjoint and overlapping community structures.
    • Comparative analysis shows NeSiFC outperforms other FCD algorithms like genetic algorithms, membership degree propagation, and center-based fuzzy graph clustering.

    Conclusions:

    • NeSiFC offers a robust and parameter-light approach to fuzzy community detection.
    • The method's independence from network characteristics and minimal parameter tuning make it highly adaptable.
    • NeSiFC represents a significant advancement in fuzzy community detection, providing superior results for complex network analysis.