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

Cross-Sectional Research01:50

Cross-Sectional Research

11.5K
In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
11.5K
Group Design02:01

Group Design

9.3K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
9.3K
Factors Influencing Attraction I: Proximity01:22

Factors Influencing Attraction I: Proximity

425
Proximity plays a fundamental role in shaping interpersonal attraction by increasing opportunities for interaction and fostering familiarity. Research consistently demonstrates that individuals are more likely to form social bonds with those who are physically closer to them, whether in residential settings, workplaces, or educational institutions. This effect is largely driven by the increased frequency of encounters, which facilitates the development of friendships and romantic...
425
Case Studies01:22

Case Studies

11.2K
There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
11.2K
Surveys02:16

Surveys

14.3K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
14.3K
Relationship Formation02:12

Relationship Formation

28.4K
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,...
28.4K

You might also read

Related Articles

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

Sort by
Same author

Emerging activity temporal hypergraph: A model for generating realistic time-varying hypergraphs.

Physical review. E·2025
Same author

Preserving friendships in school contacts: An algorithm to construct synthetic temporal networks for epidemic modelling.

PLoS computational biology·2024
Same author

An embedding-based distance for temporal graphs.

Nature communications·2024
Same author

Modeling the interplay between disease spread, behaviors, and disease perception with a data-driven approach.

Mathematical biosciences·2024
Same author

The temporal dynamics of group interactions in higher-order social networks.

Nature communications·2024
Same author

Infection patterns in simple and complex contagion processes on networks.

PLoS computational biology·2024
Same journal

Characterization of genomic diversity in bacteriophages infecting Rhodococcus.

PloS one·2026
Same journal

Effectiveness of the Responding to Experienced and Anticipated Discrimination (READ) training on reducing stigma for medical students in Tunisia.

PloS one·2026
Same journal

Cell-cell junction gene signatures as subtype-specific prognostic biomarkers in breast cancer.

PloS one·2026
Same journal

GC-MS based tentative identification of γ-sitosterol from Brassica nigra seeds and evaluation of its anticancer potential: An integrated in vitro and in silico study.

PloS one·2026
Same journal

Ad-based social media interventions increase belief accuracy and generate pro-social opinions among non-news readers.

PloS one·2026
Same journal

Negotiating knowledge: The role of network hedging in the production of high-impact science.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Apr 23, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.4K

Contact patterns among high school students.

Julie Fournet1, Alain Barrat2

  • 1Aix-Marseille Université, Université de Toulon, CNRS, CPT UMR 7332, Marseille, France.

Plos One
|September 17, 2014
PubMed
Summary
This summary is machine-generated.

Human contact patterns in schools are highly stable over days and years, revealing consistent social network structures. This stability is crucial for understanding disease spread and social behavior dynamics.

More Related Videos

Breakfast Habits among Schoolchildren in the City of Uruguaiana, Brazil
06:48

Breakfast Habits among Schoolchildren in the City of Uruguaiana, Brazil

Published on: July 29, 2020

4.4K
Use of Galvanic Skin Responses, Salivary Biomarkers, and Self-reports to Assess Undergraduate Student Performance During a Laboratory Exam Activity
07:32

Use of Galvanic Skin Responses, Salivary Biomarkers, and Self-reports to Assess Undergraduate Student Performance During a Laboratory Exam Activity

Published on: February 10, 2016

8.6K

Related Experiment Videos

Last Updated: Apr 23, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.4K
Breakfast Habits among Schoolchildren in the City of Uruguaiana, Brazil
06:48

Breakfast Habits among Schoolchildren in the City of Uruguaiana, Brazil

Published on: July 29, 2020

4.4K
Use of Galvanic Skin Responses, Salivary Biomarkers, and Self-reports to Assess Undergraduate Student Performance During a Laboratory Exam Activity
07:32

Use of Galvanic Skin Responses, Salivary Biomarkers, and Self-reports to Assess Undergraduate Student Performance During a Laboratory Exam Activity

Published on: February 10, 2016

8.6K

Area of Science:

  • Epidemiology
  • Social Network Analysis
  • Behavioral Science

Background:

  • Face-to-face interactions are key to social networks and infectious disease transmission.
  • Understanding human contact patterns is vital for public health and social science research.
  • Wearable sensors now enable high-resolution data collection on individual proximity.

Purpose of the Study:

  • To analyze high-resolution temporal contact patterns among high school students.
  • To investigate the stability of contact networks across different timescales (daily and yearly).
  • To assess the impact of school class structure on contact patterns.

Main Methods:

  • Collected and analyzed two datasets of student proximity patterns using wearable sensors.
  • Defined and analyzed contact matrices to represent inter-class interactions.
  • Performed longitudinal analysis comparing contact patterns over days and across years.

Main Results:

  • Contact patterns exhibit high stability across days and successive years.
  • Statistical distributions of contact number and duration remain consistent over time.
  • Contact matrices show significant similarity when measured across different periods.

Conclusions:

  • School social contact networks are remarkably stable, offering predictable structures for modeling.
  • Findings support the use of these datasets for improving infectious disease models and containment strategies.
  • The study provides valuable insights into human behavior and social interactions in educational settings.