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Can you please take a look at my code and analysis and let me know if it is correct? I am listing the assignment guidelines below for reference. A Word document with my code and analysis is being attached. The code is in the text blocks and the analysis is below each text block.
Strategic Alliances
The data is synthetic and depicts financial ties among several large companies, as one could infer from public information and news media. The data consists of a 20×20 matrix of companies, with binary values (0, 1) according to the rule:
If Financial_ties(Company A, Company B) then
FinTies[A,B] = 1
Else
FinTies[A,B] = 0
Note: While the company names are real, the relationships depicted are fictitious and the matrix was created specifically for this example. The data is stored in a MS-Excel spreadsheet: FinancialTies.xlsx.
The objective of this assignment is to identify, given a network of relationships among corporations, all relationships, subgroups, influencers, alliances, and paths to follow in the pursuit of new business relationships. You will analyze a network, which depicts various types of interorganization relationships among a large set of companies. Your task is to detect potential for alliances, the impact of interlocking boards, and then attempt to identify strategic opportunities and challenges.
Complete the following steps:
- Create a matrix representation of the network.
- Perform initial descriptive statistics analysis, calculating the following:
- Analyze the matrix to detect potential for alliances.
- Explain what your basis is for establishing the potential for alliances.
Continuing on, please read the steps below and provide Python code for each step with explanation of steps taken and explanation of code output once code is ran. The explanation can be in line with the Python code.
- Pick two actors that you have identified as potential allies and perform the following:
- Generate the corresponding egocentric graphs.
- Calculate the density of each egocentric graph.
- Calculate the centrality of each actor.
- For each actor (ego), compare its density and centrality.
- Calculate the betweenness centrality of each actor.
- Calculate the closeness centrality of each actor.
- Calculate the prestige of each actor.
- For each of the metrics above, explain its meaning in the context of this particular graph.
- Plot the network graph and describe the characteristics evident in the plot.
Continuing on, please read the steps below and provide Python code for each step with explanation of steps taken and explanation of code output once code is ran. The explanation can be in line with the Python code.
- Analyze the matrix to identify the impact of interlocking boards.
- Analyze the matrix to identify strategic opportunities that would benefit entities (e.g., find a partner, create/join an alliance, prevent an alliance, access a new market, etc.).
- Point out examples of weak and strong ties within the organization (two examples of each) and explain why they are weak or strong.
- Detect structural holes and explain their impact on social closures.
- Analyze the matrix to identify challenges entities may face (e.g., unreachable entities, overcrowded regions [competition], difficulty [e.g., expensive networking cost] in connecting with certain companies, etc.).
- Based on the analysis of this network, how do you view the impact of informal networks on the power structure of organizations?
- Compile all the above computational steps, their results, visualizations, explanations, and analysis into one comprehensive technical report as a Jupyter Notebook.
- Submit all of the above in one, comprehensive technical report as a Jupyter Notebook, including all computational steps, their results, visualizations, explanations, and analysis. Within the report make sure to provide the following:
Include an in-depth analysis of the potential for alliances, along with their effects and consequences, the impact of interlocking boards, strategic opportunities, and challenges.