Create a social network visualization for the co-authorship network using the data provided. The data consist of a single column in the following format: Ghasemaghaei, Maryam; Ebrahimi, Sepideh; Hassanein, Khaled Here, Maryam Ghasemaghaei is the first author of the academic paper, Sepideh Ebrahimi is the second author, and Khaled Hassanein is the third author. In other words, this row suggests that these three authors have collaborated to write a research paper. You don’t need to fix the first and the last names. Hint: Convert the excel to CSV and use the code from one of the iPython notebooks to import this data directly into Python to plot the social network.
Create a social network visualization for the co-authorship network using the data
provided.
The data consist of a single column in the following format:
Ghasemaghaei, Maryam; Ebrahimi, Sepideh; Hassanein, Khaled
Here, Maryam Ghasemaghaei is the first author of the academic paper, Sepideh Ebrahimi
is the second author, and Khaled Hassanein is the third author. In other words, this row
suggests that these three authors have collaborated to write a research paper. You don’t
need to fix the first and the last names. Hint: Convert the excel to CSV and use the code
from one of the iPython notebooks to import this data directly into Python to plot the social
network.
To create a social network visualization for the co-authorship network, we can use Python's networkx library and matplotlib library.
Here's how we can do it:
- Convert the Excel file to CSV format.
- Load the data from the CSV file into a list.
- Create a graph using networkx library.
- Add nodes and edges to the graph.
- Draw the graph using matplotlib library.
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