Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Extracting Insights from the Topology of the JavaScript Package
  Ecosystem   Software ecosystems have had a tremendous impact on computing and society,
capturing the attention of businesses, researchers, and policy makers alike.
Massive ecosystems like the JavaScript node package manager (npm) is evidence
of how packages are readily available for use by software projects. Due to its
high-dimension and complex properties, software ecosystem analysis has been
limited. In this paper, we leverage topological methods in visualize the
high-dimensional datasets from a software ecosystem. Topological Data Analysis
(TDA) is an emerging technique to analyze high-dimensional datasets, which
enables us to study the shape of data. We generate the npm software ecosystem
topology to uncover insights and extract patterns of existing libraries by
studying its localities. Our real-world example reveals many interesting
insights and patterns that describes the shape of a software ecosystem.

10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
3
The categories of this paper are: physics
6
The categories of this paper are: astro-ph
0
The categories of this paper are: hep-ph
35
The categories of this paper are: mtrl-th
26
The categories of this paper are: bayes-an
29
The categories of this paper are: funct-an
25
The categories of this paper are: patt-sol
23
The categories of this paper are: solv-int
24
The categories of this paper are: dg-ga
32
The categories of this paper are: atom-ph
18
The categories of this paper are: econ
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
22
The categories of this paper are: chao-dyn