Positioning in a collaboration network and performance in
competitions: a case study of Kaggle

Dublin Core

Title

Positioning in a collaboration network and performance in
competitions: a case study of Kaggle

Subject

collaboration networks, virtual teams, online competition, data science, online communities

Description

Online innovation competitions are ecosystems where institutions source numerous solutions from knowledge workers through a platform
intermediary. By considering how an individual competitor’s performance varies based on their social positioning in a competition ecosystem’s
collaboration network, we illustrate the value of social networks for individual outcomes in online competitions. The study reports results from
Kaggle, a popular online competition platform for data science, where a sample of 350,956 users participated in 2,789 competitions over 4 years.
We investigate how the number of collaborations, membership in the largest connected component in the network, and diversity of collaboration
experiences impact the points and medals earned and how quickly competitors earn their first medal. Results show that positioning has a
positive relationship with performance in competitive ecosystems. Relevant to the future of work, the study considers how knowledge workers
in future workplaces should manage their online collaborations.

Creator

Marlon Twyman 1,*, Goran Muric2

, Weiwei Zheng3

Source

https://doi.org/10.1093/jcmc/zmad024

Date

9 May 2023

Contributor

PERI IRAWAN

Format

PDF

Language

ENGLISH

Type

TEXT

Files

Collection

Citation

Marlon Twyman 1,*, Goran Muric2 , Weiwei Zheng3, “Positioning in a collaboration network and performance in
competitions: a case study of Kaggle,” Repository Horizon University Indonesia, accessed May 22, 2025, https://repository.horizon.ac.id/items/show/8693.