1.Using Open data

*Air port data

I am analyzing the network with public data (Node and edge csv file) and comparing it with the data I have gathered.

-Node size change according to number of degree

: This network makes it easy to find airports that serve as hubs around the world.

-degree distribution

-Diameter and average path length

-clustering coefficient

2. Using My Data

Latitude and longitude location data is too granular to provide accurate network connectivity. So I need to unify this and analyze the criteria to see the nodes.

-Centrality

-Diameter and average path length

In the graph below, the average path length is over 900. This shows that there are very few hubs, and although visually they have a central part, they are perceived as different nodes because their values look different. There seems to be a need for correction.

*Link

https://postechackr-my.sharepoint.com/personal/juhpark_postech_ac_kr/_layouts/15/onedrive.aspx?originalPath=aHR0cHM6Ly9wb3N0ZWNoYWNrci1teS5zaGFyZXBvaW50LmNvbS86ZjovZy9wZXJzb25hbC9qdWhwYXJrX3Bvc3RlY2hfYWNfa3IvRW1jVUZLV0dzRkpMc3hXU21Kck1ydElCd3VzaXdxM1ZRdzBxb21pTy1EYzNLdz9ydGltZT1ESGNaQmxaTjEwZw&viewid=ca590ba4%2D29e8%2D40f4%2Dac6f%2Db0a53b0b960c&id=%2Fpersonal%2Fjuhpark%5Fpostech%5Fac%5Fkr%2FDocuments%2FPDI%20Lab%2FChang%20Mi%2F1010