Uncovering Places in Two-Mode Networks

This paper presents an effective approach for handling two-mode networks, utilizing the concept of ‘place’ or structural equivalence as its fundamental framework. It primarily relies on the Places and igraph R packages. To illustrate this method, it employs an edge list representing students and their respective universities in the United States. The data source for this analysis is derived from the directory of an alumni club, specifically the American University Club of Shanghai, which was originally published in 1936. The paper proceeds through four main steps: (1) Identification of places from the edge list, (2) Transformation of the list of places into a network of places, along with its transposed network of universities, (3) Visualization and analysis of the network, including community detection, and (4) Introduction of a more flexible approach grounded in the concepts of regular equivalence or k-places.

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Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2024-11-15
DOI
https://doi.org/10.48645/nk8x-8d47
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Uncovering Places in Two-Mode Networks

Cécile Armand
SPIRE - Sciences Po Institutional REpository
Energy Efficient Wireless Sensor Networks
article

Uncovering Places in Two-Mode Networks

Cécile Armand
article en

Abstract

This paper presents an effective approach for handling two-mode networks, utilizing the concept of ‘place’ or structural equivalence as its fundamental framework. It primarily relies on the Places and igraph R packages. To illustrate this method, it employs an edge list representing students and their respective universities in the United States. The data source for this analysis is derived from the directory of an alumni club, specifically the American University Club of Shanghai, which was originally published in 1936. The paper proceeds through four main steps: (1) Identification of places from the edge list, (2) Transformation of the list of places into a network of places, along with its transposed network of universities, (3) Visualization and analysis of the network, including community detection, and (4) Introduction of a more flexible approach grounded in the concepts of regular equivalence or k-places.

SPIRE - Sciences Po Institutional REpository
École Normale Supérieure de Lyon (FR), East China Normal University (CN)
Openalex Percentile: Top 77%
Energy Efficient Wireless Sensor Networks
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Uncovering Places in Two-Mode Networks — Cécile Armand · SPIRE - Sciences Po Institutional REpository (2024) | TGRS Research Map | TGRS