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 Theory02:06

Social Exchange Theory

26.2K
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).
26.2K
Social Exchange Theory01:26

Social Exchange Theory

874
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...
874
Microbial Interactions: Cooperation01:26

Microbial Interactions: Cooperation

52
Microbial cooperation involves beneficial interactions in which different species work together for individual or mutual advantage. These interactions can profoundly influence ecological dynamics and evolutionary processes, and they are essential to many pathogenic and symbiotic relationships.Nematode–Bacteria CooperationA striking example is the relationship between the Gram-negative bacterium Xenorhabdus nematophila and the parasitic nematode Steinernema carpocapsae. Juvenile nematodes...
52
Impact of Social Context on Individuals01:21

Impact of Social Context on Individuals

506
Social psychology examines how the real or imagined presence of others influences individuals' thoughts, feelings, and behaviors. A key concept in this field is the role of social context in shaping behavior. The same individual may act differently depending on the social setting, due to the varying expectations and norms associated with each environment. This context-dependent behavior illustrates the influence of social roles, which prescribe appropriate conduct in specific situations.Social...
506
Social Relationships and Well-Being01:30

Social Relationships and Well-Being

511
The significance of social relationships in psychological well-being is a well-established area of inquiry within social psychology. Research consistently demonstrates that the presence of meaningful, supportive relationships enhances emotional health, while the absence or deterioration of such connections can contribute to psychological distress. Relationships serve as a foundation for emotional support, identity, and social belonging, all of which are critical to an individual’s overall...
511
Microbial Interactions: Mutualism01:25

Microbial Interactions: Mutualism

68
Mutualism is a symbiotic interaction in which all participating organisms benefit. These relationships can be obligate or facultative and are fundamental to ecosystem functions across diverse biological systems.Plant–Fungi MutualismOne well-known example is the association between plant roots and mycorrhizal fungi, such as Rhizophagus species. The fungal hyphae penetrate the root hairs and the epidermis, forming an extensive hyphal network that establishes a symbiotic association. Through...
68

You might also read

Related Articles

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

Sort by
Same author

NF1 and SPRED1/2 cooperate through RAS-MAPK-independent functions.

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

Dual inhibition of GTP-bound (ON) and GDP-bound (OFF) KRAS<sup>G12C</sup> suppresses PI3Kα and leads to potent tumor inhibition.

bioRxiv : the preprint server for biology·2026
Same author

Revisiting RAS family GTPase signaling: effector selectivity and oncogenic bypass.

The Biochemical journal·2026
Same author

Dashboard Knee: Injury Mechanisms, Diagnostic Challenges, and Treatment Outcomes.

Cureus·2026
Same author

The heart of the matter: a personal view of Fred Wittinghofer's contributions to RAS biology and drug design.

Biological chemistry·2026
Same author

Disulfide tethering reveals cryptic pockets in oncogenic KRAS.

Communications chemistry·2026
Same journal

Type II JAK2 Inhibitor Gets Off to a Strong Start.

Cancer discovery·2026
Same journal

Pancreatic Cancer: Translating Tumor Biology into Actionability.

Cancer discovery·2026
Same journal

Reconsidering Cancer Therapy through the Lens of Biomolecular Condensates.

Cancer discovery·2026
Same journal

The Promise of Machine Learning-Based Population Screening for Hepatocellular Carcinoma.

Cancer discovery·2026
Same journal

Spatially Resolved Proteomic Cartography Illuminates the Earliest Molecular Programs in Pancreatic Cancer Evolution.

Cancer discovery·2026
Same journal

Oral Regimens for AML Make Strides.

Cancer discovery·2026
See all related articles

Related Experiment Video

Updated: Apr 21, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

10.9K

Social interactomes for enabling research communities.

Justin Guinney1, Rodrigo Dienstmann2, Charles Ferté3

  • 1Sage Bionetworks, Fred Hutchinson Cancer Research Center, Seattle, Washington. justin.guinney@sagebase.org mccormic@cc.ucsf.edu.

Cancer Discovery
|November 5, 2014
PubMed
Summary
This summary is machine-generated.

Scientific abstracts analyzed with web apps like "abstract interactomes" offer novel visualization tools for researchers. These tools help navigate investigators and identify shared research topics, fostering collaboration.

More Related Videos

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

5.8K
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

2.7K

Related Experiment Videos

Last Updated: Apr 21, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

10.9K
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

5.8K
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

2.7K

Area of Science:

  • Biomedical research
  • Data visualization
  • Scientific collaboration

Background:

  • Traditional methods for identifying research connections can be inefficient.
  • Visualizing networks of researchers and their topics is challenging.

Purpose of the Study:

  • To introduce novel web-based tools for analyzing scientific abstracts.
  • To explore alternative conference formats for enhancing scientific exchange.

Main Methods:

  • Data-driven analysis of scientific abstracts using web applications.
  • Implementation of "abstract interactomes" for visualization.
  • Designing "social interactomes" for structured conference discussions.

Main Results:

  • "Abstract interactomes" enable interactive navigation of investigators and research topics.
  • "Social interactomes" successfully engage researchers, fostering idea exchange and collaboration.

Conclusions:

  • Web apps offer powerful new ways to visualize and understand research landscapes.
  • Innovative conference formats can significantly boost scientific networking and data sharing.