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 Social Behavior III: Biological and Environmental Influences01:28

Causes of Social Behavior III: Biological and Environmental Influences

170
Social behavior is a complex phenomenon that arises from the interaction between biological predispositions and environmental influences. This intricate interplay shapes how individuals think, feel, and act in various social contexts. Understanding these mechanisms requires insights from psychology, neuroscience, genetics, and evolutionary theory.Environmental Influences on Social BehaviorEnvironmental factors, including temperature, odors, and visual stimuli, play a crucial role in shaping...
170
Evolutionary Psychology01:20

Evolutionary Psychology

800
Evolutionary psychology explores the origins of human behavior and mental processes by framing them within the context of natural selection, a theory famously propounded by Charles Darwin. This field asserts that many behaviors common across human societies — ranging from instinctive fear reactions to complex social interactions — arose as evolutionary adaptations. These adaptations enhanced the survival and reproductive success of our ancestors, thereby becoming embedded in the...
800
Criticisms of the Evolutionary Perspective01:23

Criticisms of the Evolutionary Perspective

259
In a study where individuals posing as strangers offered compliments and proposed casual sex to students, the responses differed significantly based on gender. Not a single woman accepted the proposal, while 70% of the men agreed. This outcome provides a useful scenario to explore through the lens of evolutionary psychology and social learning theory, highlighting the diverse perspectives on human sexual behaviors.
Evolutionary psychology provides one explanation for these findings, suggesting...
259
Impact of Individuals on Individuals01:30

Impact of Individuals on Individuals

289
Human behavior is intricately shaped by social influences that arise from interactions with others in diverse contexts. These influences not only mold beliefs and attitudes but also drive the regulation of behaviors through both direct communication and observational learning. The study of these processes falls within the domain of social psychology, which seeks to understand how individuals are affected by and affect those around them.Mechanisms of Social InfluenceDirect social influence...
289
Relationship Formation02:12

Relationship Formation

45.1K
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,...
45.1K
Scientific Nature of Social Psychology01:30

Scientific Nature of Social Psychology

446
Social psychology is a scientific discipline dedicated to understanding how individuals think, feel, and behave in social contexts. Unlike common sense, which relies on anecdotal experiences and intuition, social psychology employs systematic research and empirical methods to ensure objectivity and reliability. This distinction is fundamental in distinguishing scientifically supported findings from mere speculation.Four fundamental scientific values guide a structured approach to research in...
446

You might also read

Related Articles

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

Sort by
Same author

Multiplexing in networks and diffusion.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

More connections, higher polarization: The role of weak ties and status-driven dynamics.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

RepliSage: a stochastic graph-based framework for 3D chromatin modeling across the cell cycle.

Nucleic acids research·2026
Same author

Peer influence on West Point cadets' Civil War allegiances.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Coupled catastrophes in systems with bidirectional feedback.

Chaos (Woodbury, N.Y.)·2025
Same author

Bridging the empathy perception gap fosters social connection.

Nature human behaviour·2025

Related Experiment Video

Updated: Dec 18, 2025

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

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

Published on: October 19, 2021

3.5K

Why understanding multiplex social network structuring processes will help us better understand the evolution of

Curtis Atkisson1, Piotr J Górski2, Matthew O Jackson3,4,5

  • 1Department of Anthropology, University of California, Davis, California, USA.

Evolutionary Anthropology
|June 17, 2020
PubMed
Summary
This summary is machine-generated.

Understanding multiplex networks is crucial for social science. Analyzing multiple relationship domains reveals complex social structures and interactions, offering more accurate insights than single-domain studies.

Keywords:
cooperationfood sharingmathematical modelmultiplex networkssocial networks

More Related Videos

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

7.6K
Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

457

Related Experiment Videos

Last Updated: Dec 18, 2025

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

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

Published on: October 19, 2021

3.5K
Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

7.6K
Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

457

Area of Science:

  • Social Network Analysis
  • Sociology
  • Network Science

Background:

  • Social scientists recognize that individual relationships span multiple domains, influencing outcomes like cooperation.
  • The study of food sharing highlights debates on reciprocity versus trade across different interaction domains.
  • Multilayer networks, representing multiple simultaneous relationships, are increasingly recognized for their importance.

Purpose of the Study:

  • To explore the structuring processes underlying multiplex networks.
  • To emphasize the significance of analyzing interdependencies between network layers.
  • To provide a framework for understanding complex social interactions within multi-dimensional networks.

Main Methods:

  • Review of network science literature on multilayer and multi-dimensional networks.
  • Discussion of theoretical models examining layer interdependencies.
  • Analysis of how network structure impacts social phenomena.

Main Results:

  • Ignoring layer interdependencies in multiplex networks can lead to incomplete understanding and erroneous conclusions.
  • Multiplex network structures are shaped by processes that consider relationships across multiple domains.
  • The analysis of multi-dimensional social networks is a growing area in network science.

Conclusions:

  • Understanding the formation and structure of multiplex networks is essential for accurate social analysis.
  • Future research should focus on the interdependencies within multilayer networks to gain deeper insights.
  • Accurate modeling of multiplex networks enhances our comprehension of complex social interactions and outcomes.