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

Social Exchange Theory01:26

Social Exchange Theory

As formulated by John Thibaut and Harold Kelley, Social Exchange Theory explains human relationships as economic-like exchanges that maximize rewards and minimize costs. This theory suggests that individuals engage in relationships to gain benefits and reduce burdens, similar to economic transactions. It has been widely applied to various types of relationships, including romantic, professional, and social interactions.Rewards and Costs in RelationshipsRelationship rewards include emotional...
Social Exchange Theory02:06

Social Exchange Theory

We have discussed why we form relationships, what attracts us to others, and different types of love. But what determines whether we are satisfied with and stay in a relationship? One theory that provides an explanation is social exchange theory. According to social exchange theory, we act as naïve economists in keeping a tally of the ratio of costs and benefits of forming and maintaining a relationship with others (Rusbult & Van Lange, 2003).
Protein Networks02:26

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 Networks02:26

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,...
Impact of Individuals on Individuals01:30

Impact of Individuals on Individuals

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...
Relationship Formation02:12

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

Young Men's Communication Needs for the Human Papillomavirus (HPV) Vaccine: A Cross-Cultural, Qualitative Analysis in Scotland, Spain, and the USA.

International journal of behavioral medicine·2025
Same author

Post-treatment life-trajectories among people who inject drugs who completed hepatitis C treatment with direct acting antivirals: A thematic analysis.

British journal of health psychology·2025
Same author

Young men with intellectual disabilities' perceptions of HPV and HPV vaccine: A qualitative study on how to communicate HPV vaccine information.

Human vaccines & immunotherapeutics·2025
Same author

A systematic review and thematic synthesis exploring how gay, bisexual and other men who have sex with men (GBMSM) experience HPV and HPV vaccination.

Human vaccines & immunotherapeutics·2025
Same author

Commentary and methodological insights: Reaching girls/women, boys/men and vulnerable groups to maximise uptake for the Human papillomavirus vaccine.

Human vaccines & immunotherapeutics·2025
Same author

The Social and Emotional Education and Development intervention to address wellbeing in primary school age children: the SEED cluster RCT.

Public health research (Southampton, England)·2024
Same journal

Requesting Diagnostic Imaging in Nurse Practitioner Practice: Results of a National Survey.

Journal of clinical nursing·2026
Same journal

Comment on 'Latent Profile Analysis of Preoperative Frailty in Cardiac Surgery Patients: Implications for Individualised Nursing Care'.

Journal of clinical nursing·2026
Same journal

Catheter-Day Denominators in CVADs Care Bundles Studies: Does a Reduction in Infection Events Indicate Reduced Risk?

Journal of clinical nursing·2026
Same journal

A Scoping Review of Malnutrition Risk Prediction Models in Cancer Patients.

Journal of clinical nursing·2026
Same journal

Health Literacy and Unmet Needs in Multiple Sclerosis: Mechanistic Interpretations and Practice Implications.

Journal of clinical nursing·2026
Same journal

Effects of Nonpharmacological Interventions on Pain and Patient Satisfaction During Intrauterine Device Insertion: A Systematic Review and Meta-Analysis.

Journal of clinical nursing·2026
See all related articles

Related Experiment Video

Updated: May 20, 2026

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

Understanding complex interactions using social network analysis.

Janette Pow1, Kaberi Gayen, Lawrie Elliott

  • 1School of Nursing, Midwifery & Social Care, Edinburgh Napier University, Edinburgh, UK.

Journal of Clinical Nursing
|July 24, 2012
PubMed
Summary
This summary is machine-generated.

Social network analysis offers valuable insights into nursing interactions and patient outcomes. Identifying key communicators can improve intervention success and assess effectiveness.

More Related Videos

Assessment of Social Interaction Behaviors
06:41

Assessment of Social Interaction Behaviors

Published on: February 25, 2011

Related Experiment Videos

Last Updated: May 20, 2026

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

Assessment of Social Interaction Behaviors
06:41

Assessment of Social Interaction Behaviors

Published on: February 25, 2011

Area of Science:

  • Social network analysis
  • Nursing research
  • Health outcomes

Background:

  • Social network analysis (SNA) is widely applied in sociology, politics, business, and healthcare.
  • SNA provides insights into network properties and interactions.
  • The application of SNA in nursing research remains underexplored.

Purpose of the Study:

  • To highlight the utility of social network analysis (SNA) in nursing research.
  • To demonstrate how SNA can enhance understanding of social interactions within nursing.

Main Methods:

  • Literature review on social network analysis.
  • Illustrative examples showcasing SNA application in nursing contexts.
  • Discussion of network visualization and centrality measures.

Main Results:

  • SNA offers deeper insights into social situations and individual interactions.
  • It is particularly applicable to studying interactions among nurses, and between nurses, patients, and other stakeholders.
  • Key communicators within a network can be identified through centrality measures.

Conclusions:

  • Social network analysis provides a quantitative method to understand human interactions and their impact on health outcomes.
  • Identifying influential individuals (actors) is crucial for the acceptance and sustainability of interventions.
  • SNA can assess the effectiveness of interventions for both recipients and service providers.