honto

honto quantifies homophily and heterophily in networks by computing z-scores from a network structure and node-class partitioning to measure preferential interactions.

Key Features:

• Homophily/Heterophily Analysis: Calculates z-score values that quantify the tendency of nodes within the same class to interact preferentially and assesses heterophily between different classes.
• Matrix Output: Generates a matrix where each entry is the homophily or heterophily z-score for node pairs.
• Node Interaction Analysis: Provides z-scores for nodes that do not interact with any other node within their class.
• Visual Interpretation: Produces heatmaps representing homophily and heterophily patterns across the network.

Scientific Applications:

• Social Network Analysis: Investigating preferential connections among individuals within social groups.
• Biological Networks: Studying protein-protein interactions and gene regulatory networks to understand functional groupings and interactions.

Methodology:

Accepts a network structure and a partitioning of nodes into classes, computes z-scores comparing observed interactions to expectation by chance, and outputs a z-score matrix and heatmaps.