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

Factors Influencing Attraction III: Similarity01:23

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...
Factors Influencing Attraction I: Proximity01:22

Factors Influencing Attraction I: Proximity

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...
Factors Influencing Attraction IV: Reciprocity01:28

Factors Influencing Attraction IV: Reciprocity

Reciprocity in attraction is fundamental to social and romantic relationships, shaping how individuals form and maintain connections. The psychological principle underlying this phenomenon is that people tend to like those who express liking toward them. Balance theory supports this tendency, suggesting that mutual attraction fosters psychological harmony, whereas one-sided affection leads to discomfort and cognitive dissonance.The Psychological Mechanisms Behind ReciprocityWhen individuals...
Factors Influencing Attraction II: Physical Attraction01:21

Factors Influencing Attraction II: Physical Attraction

Physical attractiveness plays a crucial role in shaping interpersonal attraction, influencing first impressions, social interactions, and long-term relationship dynamics. Psychological research consistently demonstrates that attractiveness affects social evaluations and behavioral outcomes in various contexts.Influence on Social InteractionsResearch has shown that individuals perceived as physically attractive often experience preferential treatment in social and professional settings. One...
Slant Asymptotes01:27

Slant Asymptotes

A function's behavior is often guided by asymptotic constraints, where one term dominates another, defining a limiting trend. In the given scenario, the mathematical pattern follows a rational function: a cubic term in the numerator is divided by a squared term in the denominator. This results in a function with distinct characteristics, including an oblique asymptote, critical points, and undefined regions.The function's validity is determined by the denominator, which must be nonzero. This...
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

Proteomic Profiling of Cryopreservation-Induced Alterations in Rhesus Macaque Sperm.

Andrology·2026
Same author

Optimal dismantling of directed networks.

Nature communications·2026
Same author

Neuroprotective mechanism of acupuncture against brain injury during delayed thrombolysis for acute ischemic stroke.

Journal of integrative medicine·2026
Same author

Sivelestat and Incidence of Acute Respiratory Distress Syndrome After Cardiovascular Surgery: A Randomized Clinical Trial.

JAMA network open·2026
Same author

Clinicopathologic characteristics, progression, and prognostic analysis of intraductal papillary neoplasm of the bile duct: a retrospective multicenter cohort study.

International journal of surgery (London, England)·2026
Same author

Distributed Capturing Strategy in Heterogeneous Multiagent Pursuit-Evasion Games.

IEEE transactions on cybernetics·2026
Same journal

Analysis of strength degradation of coal and rock masses and stability of mined areas under long term immersion environment.

PloS one·2026
Same journal

Biogenic Silver-Selenium nanocomposite with anticancer activity and potent efficacy against vancomycin-resistant Staphylococcus aureus.

PloS one·2026
Same journal

Preparation and physicochemical characterization of a biodegradable chitosan/carboxymethyl cellulose hydrogel synthesized in NaOH/urea medium.

PloS one·2026
Same journal

Action-guilt, survivor-guilt, and depression in combat-related PTSD.

PloS one·2026
Same journal

Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.

PloS one·2026
Same journal

Deep learning based two-way feature depiction model for brain tumor detection.

PloS one·2026
See all related articles

Related Experiment Video

Updated: May 30, 2026

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis
06:44

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis

Published on: September 23, 2025

Aggregation pattern transitions by slightly varying the attractive/repulsive function.

Zhao Cheng1, Hai-Tao Zhang, Michael Z Q Chen

  • 1State Key Laboratory of Digital Manufacturing Equipments and Technology, Huazhong University of Science and Technology, Wuhan, People's Republic of China.

Plos One
|July 30, 2011
PubMed
Summary
This summary is machine-generated.

Altering attractive/repulsive functions in particle systems causes distinct liquid-like or crystal-like aggregation patterns. This reveals common mechanisms in biological swarms and physical systems, with potential applications in multi-robot formation design.

More Related Videos

Pattern Generation for Micropattern Traction Microscopy
09:26

Pattern Generation for Micropattern Traction Microscopy

Published on: February 17, 2022

Volatile Sex Pheromone Extraction and Chemoattraction Assay in Caenorhabditis elegans
06:49

Volatile Sex Pheromone Extraction and Chemoattraction Assay in Caenorhabditis elegans

Published on: August 9, 2024

Related Experiment Videos

Last Updated: May 30, 2026

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis
06:44

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis

Published on: September 23, 2025

Pattern Generation for Micropattern Traction Microscopy
09:26

Pattern Generation for Micropattern Traction Microscopy

Published on: February 17, 2022

Volatile Sex Pheromone Extraction and Chemoattraction Assay in Caenorhabditis elegans
06:49

Volatile Sex Pheromone Extraction and Chemoattraction Assay in Caenorhabditis elegans

Published on: August 9, 2024

Area of Science:

  • Physics
  • Biology
  • Complex Systems

Background:

  • Collective behaviors in biological swarms and flocks are influenced by attractive/repulsive (A/R) interactions.
  • Understanding these interactions is key to modeling emergent patterns in nature and engineered systems.

Purpose of the Study:

  • To investigate the impact of varying the cutoff distance of A/R functions on particle aggregation patterns.
  • To identify common mechanisms underlying physical particle aggregation and biological swarming.

Main Methods:

  • Simulations involving particles with tunable attractive/repulsive functions.
  • Analysis of aggregation patterns by varying the cutoff distance of the A/R function.
  • Examination of inter-particle distance variance to identify phase transitions.

Main Results:

  • A small cutoff distance resulted in crystal-like aggregation with constant inter-particle distances.
  • A large cutoff distance led to liquid-like aggregation with a monotonous density decrease.
  • A distinct spinodal transition was observed in the inter-particle distance variance curve.

Conclusions:

  • The cutoff distance of A/R functions critically controls aggregation patterns, transitioning between liquid-like and crystal-like states.
  • This study highlights a unified mechanism for aggregation in both natural swarms and physical systems.
  • Findings suggest potential applications in designing coordinated multi-robot systems and unmanned aerial vehicles (UAVs).