Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Relationship Formation

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,...

Relationship Growth

Relationship Growth

Interpersonal relationships progress through stages, beginning with awareness and moving toward mutuality, where emotional connections deepen. While many relationships remain at moderate levels of mutuality, deeper connections form through self-disclosure, trust, and interdependence.Self-DisclosureSelf-disclosure involves revealing personal information, starting with surface-level details and gradually progressing to more intimate content. As trust grows, individuals feel more comfortable...

Diversity of Antigen Receptors

Diversity of Antigen Receptors

Antigen receptors are essential components of the immune system crucial in defending the body against foreign invaders. These receptors are present on the surface of B and T cells, enabling them to recognize antigens and mount an appropriate immune response.
Before encountering any antigen, lymphocytes express these receptors. On B cells, the antigen receptor is a membrane-bound antibody molecule called BCR; on T cells, it is a T cell receptor or TCR. B and T cell receptors are composed of two...

Close Relationships and Culture

Close Relationships and Culture

Culture shapes how people approach attraction, choose partners, and build long-term relationships. While some preferences in mate selection appear consistent across cultures, such as men valuing physical attractiveness and women emphasizing financial resources, cultural contexts influence how these preferences are expressed and prioritized. Marriage extends beyond romantic ideals in many societies and is deeply embedded in social, economic, and religious frameworks.The Role of Culture in Mate...

Equity Theory

Equity Theory

Equity theory explains how our sense of fairness influences the dynamics of close relationships. Rooted in social psychology, the theory posits that individuals evaluate fairness by comparing the ratio of their contributions to the rewards they receive. Relationship satisfaction is highest when these ratios are perceived as balanced between partners, promoting mutual reciprocity and a sense of justice.Equity vs. Equality in RelationshipsEquity is distinct from equality. Fairness does not...

Desirable Characteristics in Others

Desirable Characteristics in Others

Various factors, including the type of relationship, gender, and duration of the relationship, influence the perception of desirable characteristics in others. While certain traits such as trustworthiness, cooperativeness, agreeableness, and extraversion are universally valued across all relationships, other characteristics are context-dependent and gain prominence based on specific relational dynamics.Universal and Context-Dependent TraitsTrustworthiness and cooperativeness are fundamental...

You might also read

Related Articles

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

Sort by

Same author

The Concept of Evenness/Unevenness: Less Evenness or More Unevenness?

Acta biotheoretica·2021

Same author

Severe limitations of the FEve metric of functional evenness and some alternative metrics.

Ecology and evolution·2021

Same author

Factorization of joint metacommunity diversity into its marginal components: an alternative to the partitioning of trait diversity.

Theory in biosciences = Theorie in den Biowissenschaften·2020

Same author

Effects of reproductive resource allocation and pollen density on fertilization success in plants.

BMC ecology·2020

Same author

Effective numbers in the partitioning of biological diversity.

Journal of theoretical biology·2016

Same author

Classifying measures of biological variation.

PloS one·2015

Search research articles

Related Experiment Video

Updated: Jun 27, 2026

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

Relational diversity.

Hans-Rolf Gregorius¹

¹Institut für Populations- und ökologische Genetik, Am Pfingstanger 58, 37075 Göttingen, Germany. hgregor@gwdg.de

Journal of Theoretical Biology

|December 17, 2008

Summary

This study introduces a unified relational diversity concept to measure both qualitative and quantitative traits. It transforms implicit diversity measures into explicit ones using effective numbers for broader biological applications.

Area of Science:

Biology
Ecology
Genetics
Evolutionary Biology
Systematics

Background:

Traditional biological diversity measurement focuses on distinct types (qualitative traits).
Quantitative traits and existing diversity indices often conflate diversity with statistical dispersion.
A unified approach is needed to address the broad spectrum of diversity issues.

Purpose of the Study:

To develop a comprehensive and consistent perspective on biological diversity measurement.
To unify the measurement of both qualitative and quantitative traits under a single framework.
To introduce a relational diversity concept applicable to various biological contexts.

Main Methods:

Utilizing binary relations to represent trait states for both qualitative and quantitative data.

More Related Videos

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

Related Experiment Videos

Last Updated: Jun 27, 2026

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

Developing a two-step approach: calculating implicit (relative) diversity from unrelated pairs, then transforming it into explicit (absolute) diversity using the effective number concept.

Equating observed implicit diversity with that of an ideal equivalence relation model.

Main Results:

A comprehensive concept of relational diversity is established, unifying diverse biological measurements.
Established diversity indices are reinterpreted within the relational diversity framework.
The approach allows for explicit (absolute) diversity measures derived from implicit (relative) ones.

Conclusions:

The relational diversity concept offers a consistent perspective for measuring biological diversity across qualitative and quantitative traits.
This unified approach has broad applicability to ecological, genetic, functional, systematic, and evolutionary diversity.
Future research can explore applications in taxonomic communities, food webs, phylogenetics, and more.