job hunting network data (based on linked-in website)

Public

Profile

Title of the dataset	job hunting network data (based on linked-in website)
Provenance of the dataset	website "linked-in"
How were the data collected/created? What was the cost?	scraping/ human power cost to proramming
Data sharing policy	Under particular condition.
Data sharing policy	It's highly confidential because it's so personal data.

Type of data: Check all that apply. Use "Other" to specify other types so that we can include them in further updates.	text number series table
Variable labels of dataset (the names of the variables)	company name\| candidates past career\| salary\| accept the offer or not\|
Outline of data	Linked-in is the website for job hunting and business networking. On that website there are so important information about business. For example, job hunting candidates professional ability and company needs for human resource. Using this data, I would like to extract most attractive skills in current job hunting market.
Simulation process	I will Scrape text in the website linked-in. (e.g. company name, candidate name, candidate expertise, past career,etc) Then, I will conduct network relation analysis ,for example,which company wants which expertise.
Expected outcome of the process (obtained knowledge, analysis results, output of tools)	I will scrape the data form linked-in and it shows which company want which kind of expertise. It also make it clear that transition of required expertise in job hunting market.
Anticipation for analyses/simulations other than the typical ones provided above	In these days, IT technology especially machine learning engineers are so competitive because of AI booming. People who have a high expertise in IT industry are presumably evaluated so high.