Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Manipulation and Analysis

Manipulation and Analysis

GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

Cluster Sampling Method

Cluster Sampling Method

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...

Distributed Loads: Problem Solving

Distributed Loads: Problem Solving

Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...

Response Surface Methodology

Response Surface Methodology

Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:

Relationship Formation

Relationship Formation

What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...

You might also read

Related Articles

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

Sort by

Same author

Impact of creatine supplementation alone or combined with exercise on inflammatory and clinical outcomes in chronic musculoskeletal pain treated in the rheumatological field: a systematic review.

Nutrition (Burbank, Los Angeles County, Calif.)·2026

Same author

Reply to: Observed core-to-transition biodiversity gradient may be a statistical artefact.

Nature ecology & evolution·2026

Same author

Which, when, and where traits matter: functional trait-mediated species associations shift with microenvironmental and climatic variation.

The New phytologist·2026

Same author

Improved upper limb functionality after Abdominal Drawing-in maneuver in chronic stroke survivors: a crossover study.

Physiotherapy theory and practice·2026

Same author

Indirect Interactions Driven by Soil Effects Enable Coexistence Among Competing Plant Species.

Ecology letters·2026

Same author

Anonymization and visualization of health data and biomarkers.

NPJ digital medicine·2026

Search research articles

Related Experiment Video

Updated: Jan 1, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Exploring the solution landscape enables more reliable network community detection.

Joaquín Calatayud¹, Rubén Bernardo-Madrid², Magnus Neuman¹

¹Integrated Science Lab, Department of Physics, Umeå University, Sweden.

Physical Review. E

|December 25, 2019

Summary

Determining sufficient searches for community detection is crucial. This study introduces a method to analyze the solution landscape, revealing complementary communities and improving reliability, especially in degenerate cases.

More Related Videos

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

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

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

Published on: September 25, 2021

Related Experiment Videos

Last Updated: Jan 1, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

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

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

Published on: September 25, 2021

Area of Science:

Network science
Computational complexity
Data analysis

Background:

Complex systems are often analyzed by identifying communities within their interaction networks.
Community detection algorithms frequently use multiple stochastic searches due to the impossibility of exploring all potential solutions.
Standard methods select the best partition or a consensus, which can be problematic with degenerate solution landscapes.

Purpose of the Study:

To address the degeneracy problem in community detection by analyzing the solution landscape.
To determine the minimum number of stochastic searches required for adequate landscape description.
To propose methods for exploring the solution landscape to reveal complementary communities and enhance detection reliability.

Main Methods:

Clustering network partitions based on similarity to create coarse-grained descriptions of the solution landscape.
Developing an approach to identify the minimum number of searches needed to adequately represent the solution landscape.
Implementing significance clustering to explore the solution landscape and utilize all partitions effectively.

Main Results:

The number of required searches correlates with algorithm generality and network community structure clarity.
Exploring the coarse-grained solution landscape can uncover complementary community solutions.
The proposed methods enable more reliable community detection, particularly when solution landscapes are degenerate.

Conclusions:

Coarse-grained landscape analysis provides a robust approach to address degeneracy in community detection.
This method optimizes the number of stochastic searches, improving efficiency and reliability.
The findings enhance the understanding and application of community detection in complex systems.