Back

The Friendship Paradox across animal social systems is governed by network structure and biological features

Newman, E. F.; Knowles, S. C. L.; Firth, J. A.

2026-03-25 animal behavior and cognition
10.64898/2026.03.24.713537 bioRxiv
Show abstract

A populations social structure, often represented as a social network, shapes fundamental biological processes including the spread of disease, information, and behaviour. The Friendship Paradox is a network phenomenon whereby the average individual has fewer friends than their friends do. This effect can be quantified as relationship disparity (the difference between an individuals connectedness and those they are connected to) which captures the local social environment. Previous work has shown that such relationship disparity can be exploited in effective outbreak monitoring, targeted health interventions and optimized contact tracing. Yet, how its magnitude varies across real-world social networks remains poorly understood. Here, we analyse relationship disparity across 391 empirical animal social networks to test how intrinsic network properties and biological attributes predict its extent. We find that smaller and sparser networks exhibit stronger relationship disparity, and that mammalian and avian social systems generally showed stronger relationship disparity than reptilian systems. After controlling for variation in individual sociability, mammalian and reptilian social networks displayed weaker relationship disparity than expected based on network structure alone. Together, these findings demonstrate that both network structure and biological attributes shape relationship disparity in natural social systems, providing a foundation for predicting how higher-order network architecture influences social processes such as contagion. Significance StatementIn natural populations, social connections are unevenly distributed, often resulting in a small subset of individuals that are highly connected while many are relatively peripheral. The Friendship Paradox is a measure of relationship disparity between individuals and their local social environment. Understanding how features of the social network and biological system are associated with relationship disparity can contribute to understanding what shapes social behaviour. Relationship disparity may not just be an emergent network property but could reflect a higher level of social structuring, and therefore shape processes that depend on social contacts. Our findings demonstrate the value of comparative network analysis for generating insights into fundamental principles structuring real-world societies.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 0.6%
22.6%
2
Science
429 papers in training set
Top 2%
10.1%
3
eLife
5422 papers in training set
Top 6%
10.1%
4
Proceedings of the Royal Society B: Biological Sciences
341 papers in training set
Top 0.6%
8.4%
50% of probability mass above
5
Nature Communications
4913 papers in training set
Top 32%
4.9%
6
PLOS Computational Biology
1633 papers in training set
Top 7%
4.9%
7
Philosophical Transactions of the Royal Society B: Biological Sciences
53 papers in training set
Top 0.1%
4.9%
8
Current Biology
596 papers in training set
Top 5%
4.0%
9
Philosophical Transactions of the Royal Society B
51 papers in training set
Top 1%
3.7%
10
Science Advances
1098 papers in training set
Top 12%
2.1%
11
Journal of The Royal Society Interface
189 papers in training set
Top 2%
2.1%
12
The American Naturalist
114 papers in training set
Top 1.0%
1.9%
13
PLOS Biology
408 papers in training set
Top 9%
1.7%
14
Scientific Reports
3102 papers in training set
Top 62%
1.5%
15
PNAS Nexus
147 papers in training set
Top 0.9%
1.0%
16
Nature Ecology & Evolution
113 papers in training set
Top 4%
0.9%
17
Evolution, Medicine, and Public Health
14 papers in training set
Top 0.3%
0.8%
18
Journal of Animal Ecology
63 papers in training set
Top 1%
0.7%
19
Nature Neuroscience
216 papers in training set
Top 6%
0.7%
20
BMC Biology
248 papers in training set
Top 4%
0.7%
21
eneuro
389 papers in training set
Top 9%
0.7%
22
Methods in Ecology and Evolution
160 papers in training set
Top 2%
0.7%
23
Ecology Letters
121 papers in training set
Top 1%
0.7%
24
Behavioral Ecology and Sociobiology
34 papers in training set
Top 0.6%
0.7%
25
Nature Human Behaviour
85 papers in training set
Top 5%
0.6%