Social Insect Networks

Name: Social Insect Networks
Creator: Jennifer H, Fewell
Keywords: 0106 biological sciences, 0301 basic medicine, Insecta, Ants, Wasps, Bees, Models, Biological, 01 natural sciences, Pheromones, Group Processes

Jennifer H, Fewell

Found an issue? Give us feedback

Sciencearrow_drop_down

Science

Article . 2003 . Peer-reviewed

Data sources: Crossref

Science

Article . 2003

Data sources: Europe PubMed Central

https://dx.doi.org/10.1126/sci...

Article

Data sources: Microsoft Academic Graph

Social Insect Networks

descriptionPublicationkeyboard_double_arrow_right Article 26 Sep 2003 English Publisher:American Association for the Advancement of Science (AAAS)Journal:Science, volume 301, pages 1,867-1,870 (issn: 0036-8075, eissn: 1095-9203,

Copyright policy )

Authors: Jennifer H, Fewell;

doi: 10.1126/science.1088945

pmid: 14512616

Social Insect Networks

- Summary
- Subjects
- Metrics

Abstract

Social insect colonies have many of the properties of adaptive networks. The simple rules governing how local interactions among individuals translate into group behaviors are found across social groups, giving social insects the potential to have a profound impact on our understanding of the interplay between network dynamics and social evolution.

Related Organizations

Arizona State University
United States

Keywords

Insecta, Ants, Wasps, Bees, Models, Biological, Pheromones, Group Processes, Phenotype, Nonlinear Dynamics, Animals, Humans, Pollen, Interpersonal Relations, Selection, Genetic, Social Behavior

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	232
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%