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Company Acquisition Paper

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

Directories

Our analysis scripts are classified into the following folders:

  • 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.

  • 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.

  • 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.

  • 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.

  • Centrality Analysis: This folder contains the Python script we employed to calculate centrality measures on the cross-city acquisition network.