Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: On Analyzing Job Hop Behavior and Talent Flow Networks   Analyzing job hopping behavior is important for the understanding of job
preference and career progression of working individuals. When analyzed at the
workforce population level, job hop analysis helps to gain insights of talent
flow and organization competition. Traditionally, surveys are conducted on job
seekers and employers to study job behavior. While surveys are good at getting
direct user input to specially designed questions, they are often not scalable
and timely enough to cope with fast-changing job landscape. In this paper, we
present a data science approach to analyze job hops performed by about 490,000
working professionals located in a city using their publicly shared profiles.
We develop several metrics to measure how much work experience is needed to
take up a job and how recent/established the job is, and then examine how these
metrics correlate with the propensity of hopping. We also study how job hop
behavior is related to job promotion/demotion. Finally, we perform network
analyses at the job and organization levels in order to derive insights on
talent flow as well as job and organizational competitiveness.

10
The categories of this paper are: q-bio
25
The categories of this paper are: patt-sol
17
The categories of this paper are: q-fin
30
The categories of this paper are: q-alg
24
The categories of this paper are: dg-ga
34
The categories of this paper are: chem-ph
26
The categories of this paper are: bayes-an
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph
22
The categories of this paper are: chao-dyn
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
3
The categories of this paper are: physics
20
The categories of this paper are: acc-phys