co_ocurrence: Co‐occurrence

In anespinosa/netmem: Social Network Measures using Matrices

Co‐occurrence

Description

Co‐occurrence matrix based on overlap function

Usage

co_ocurrence(
  A,
  similarity = c("ochiai", "cosine"),
  occurrence = TRUE,
  projection = FALSE
)

Arguments

A	A matrix
similarity	The similarities available are either Ochiai (default) or cosine.
occurrence	Whether to treat the matrix as a two-mode structure (a.k.a. rectangular matrix, occurrence matrix, affiliation matrix, bipartite network)
projection	Whether to apply a projection (inner product multiplication) to the matrix

Value

This function returns the normalisation of a matrix into a symmetrical co‐occurrence matrix

Author(s)

Alejandro Espinosa-Rada

References

Borgatti, S. P., Halgin, D. S., 2011. Analyzing affiliation networks. In: J. Scott and P. J. Carrington (Eds.) The Sage handbook of social network analysis (pp. 417-433), Sage.

Zhou, Q., & Leydesdorff, L. (2016). The normalization of occurrence and Co-occurrence matrices in bibliometrics using Cosine similarities and Ochiai coefficients. Journal of the Association for Information Science and Technology, 67(11), 2805–2814. https://doi.org/10.1002/asi.23603

Examples

A <- matrix(
  c(
    2, 0, 2,
    1, 1, 0,
    0, 3, 3,
    0, 2, 2,
    0, 0, 1
  ),
  nrow = 5, byrow = TRUE
)

co_ocurrence(A)

anespinosa/netmem documentation built on April 5, 2025, 5:02 p.m.