The Enmity Paradox

A person’s enemies have more enemies, on average, than a person does.

The ``friendship paradox'' of social networks states that, on average, ``your friends have more friends than you do.'' Here, we theoretically and empirically explore a related and overlooked paradox we refer to as the ``enmity paradox.'' We use empirical data from 24,678 people living in 176 villages in rural Honduras. We \amir{empirically} show that, for a \amir{(pure)} real negative undirected network (created by symmetrizing antagonistic interactions), the paradox exists as it does in the positive world. Specifically, a person’s enemies have more enemies, on average, than a person does. Furthermore, in a mixed world of positive and negative ties, we study the conditions for the existence of the paradox, both theoretically and empirically, finding that, for instance, a person's friends typically have more enemies than a person does. We also confirm the ``generalized'' enmity paradox for non-topological attributes in real data, analogous to the generalized friendship paradox (e.g., the claim that a person’s enemies are richer, on average, than a person is). As a consequence, the naturally occurring variance in the degree distribution of both friendship and antagonism in social networks can skew people’s perceptions of the social world.

Histograms of $\delta_g$ and $\delta_l$ for undirected (symmetrized) networks among 176 village networks. The histograms of (pure) enmity and friendship paradoxes are provided in panels A and D, respectively. Other panels represent the histograms of enmity paradox strengths for the mixed worlds. The histogram in panel B shows the global and local paradox distributions for the difference between the number of our enemies and the number of enemies of our friends, while panel C represents the difference between the number of our friends and the number of friends of our enemies.

References

2023

  1. DALLE2024-07-2515.18.50.png
    The Enmity Paradox
    Amir Ghasemian, and Nicholas A Christakis
    Scientific Reports, 2023