This repository contains the analysis code for the paper:
Title: "Understanding Trends, Patterns, and Dynamics in Global Company Acquisitions: A Network Perspective"
Authors: Ghazal Kalhor and Behnam Bahrak
DOI: https://doi.org/10.1140/epjds/s13688-024-00503-z
If you use our analysis code in your work, please cite our paper:
Kalhor, G. & Bahrak, B. Understanding trends, patterns, and dynamics in global company acquisitions: a network perspective. EPJ Data Sci. 13, 64 (2024). https://doi.org/10.1140/epjds/s13688-024-00503-z
Our analysis scripts are classified into the following folders:
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Structural Analysis: This folder contains the Python scripts we used to calculate different structural features, such as density, transitivity, and average clustering coefficient for the networks.
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Assortativity Analysis: This folder contains the Python scripts we used to calculate assortativity coefficients for different nodal attributes, such as country, city, and category on the networks.
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ERGM Analysis: This folder contains the R scripts we used to fit the ERGM models for the networks, calculating their estimates for different nodal attributes.
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Temporal Analysis: This folder contains the Python scripts we used to investigate the evolution of the acquisition network over time by calculating different structural features at different time slots.
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Centrality Analysis: This folder contains the Python script we employed to calculate centrality measures on the cross-city acquisition network.