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

Evolutionary Relationships through Genome Comparisons

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

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,...

Protein Networks

Protein Networks

Causes of Similarity-Dissimilarity Effect

Causes of Similarity-Dissimilarity Effect

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...

Factors Influencing Attraction III: Similarity

Factors Influencing Attraction III: Similarity

The similarity hypothesis suggests that individuals are more likely to form relationships with others who share similar attitudes, beliefs, values, and interests. This concept has been widely studied in social psychology, demonstrating that perceived similarity fosters interpersonal attraction. In an experiment supporting this hypothesis, participants were presented with fabricated information indicating that strangers held attitudes similar to their own. The results showed that participants...

Structural Classification of Joints

Structural Classification of Joints

Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...

You might also read

Related Articles

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

Sort by

Same author

Moral disagreement in everyday life: An inductive framework for capturing 'moral order'.

Social science research·2025

Same author

Prosocial motives underlie scientific censorship by scientists: A perspective and research agenda.

Proceedings of the National Academy of Sciences of the United States of America·2023

Same author

Specialization in the marketplace for ideas.

PloS one·2023

Same author

Distinguishing social mechanisms of membership adoption in emerging technology communities.

Social science research·2023

Same author

Fighting bias with bias: How same-race endorsements reduce racial discrimination on Airbnb.

Science advances·2023

Same author

Data analysis and modeling pipelines for controlled networked social science experiments.

PloS one·2020

Search research articles

Related Experiment Video

Updated: Mar 17, 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

Measuring structural similarity in large online networks.

Yongren Shi¹, Michael Macy¹

¹Cornell University, USA.

Social Science Research

|August 3, 2016

Summary

The Standardized Co-incident Ratio (SCR) accurately maps affiliations in large networks, unlike biased Jaccard or cosine similarity measures. This method reveals cultural alignments using social media data.

Keywords:

Bipartite Co-following Cosine similarity Jaccard Twitter

More Related Videos

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

Related Experiment Videos

Last Updated: Mar 17, 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

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

Area of Science:

Social Network Analysis
Computational Social Science
Data Mining

Background:

Bipartite graphs are used for community detection, but existing methods struggle with massive online networks.
Scalability is crucial for networks with millions of nodes and skewed degree distributions.

Purpose of the Study:

To evaluate the scalability and bias of structural similarity measures in large networks.
To introduce and validate the Standardized Co-incident Ratio (SCR) as an unbiased measure.
To demonstrate the application of SCR in mapping affiliations using social media data.

Main Methods:

Simulation analysis of Jaccard index and cosine similarity on web-scale networks.
Development and application of the Standardized Co-incident Ratio (SCR).
Analysis of co-following data on Twitter for members of Congress, musical artists, and sports teams.

Main Results:

Jaccard index and cosine similarity are biased by out-degree distribution in large networks.
The Standardized Co-incident Ratio (SCR) provides an unbiased measure of structural similarity.
SCR successfully mapped meaningful affiliations among cultural entities using Twitter co-following data.

Conclusions:

SCR is a scalable and unbiased method for detecting structural similarity in massive networks.
Social media data, analyzed with SCR, offers valuable insights into cultural, political, and organizational alignments.
This approach enhances the study of social and behavioral sciences through large-scale data analysis.