Table 2 Description of the network metrics.

From: Impact of proximity definitions and sampling rates on social networks in pigs based on tracking using computer vision

Metric

Level

Direct/Indirect

Local/Global

Measure

Description

Degree centrality

Individual

Direct

Local

Prominence

Weighted number (sum of the half-weighted degree) of direct connections the focal node has to other nodes in the network

Eigenvector centrality

Individual

Indirect

Global

Prominence

Influence of a node based on its neighbours’ connections. A node is more central when connected to highly connected nodes

Clustering coefficient

Individual

Indirect

Local

Cohesion

Tendency of the neighbours of a node to be interconnected

Radius

Group

Direct

Global

Cohesion

Minimum distance between any pair of nodes in the network, considering the longest path lengths

  1. Definitions are adapted from Makagon et al.1 and McKee et al.48.
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