2016/02/11 by Tomislav Slijepčević, Slijepčević, Tomislav
Computer Science · Mathematics · Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (stat.ML) #Social and Information Networks (cs.SI) #Software Engineering Research #Web Data Mining and Analysis #cs.SI #stat.ML
paper · pdf · doi:10.48550/arxiv.1602.03681
arxiv created 2016/02/11 · openalex publication_date 2016/02/11 · arxiv updated 2016/02/12 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
The public package registry npm is one of the biggest software registry. With its 216 911 software packages, it forms a big network of software dependencies. In this paper we evaluate various methods for finding similar packages in the npm network, using only the structure of the graph. Namely, we want to find a way of categorizing similar packages, which would be useful for recommendation systems. This size enables us to compute meaningful results, as it softened the particularities of the graph. Npm is also quite famous as it is the default package repository of Node.js. We believe that it will make our results interesting for more people than a less used package repository. This makes it a good subject of analysis of software networks.