# Modeling interdisciplinary interactions among Physics, Mathematics & Computer Science

arXiv: https://arxiv.org/abs/2309.10811 · HTML: https://mlsanity.com/paper/2309.10811/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 6 of its 30 references that are in the map.
- First posted on arXiv 19 Sep 2023.

## Builds on (most cited first, 6 of 6)

- [Memristor models for machine learning](https://mlsanity.com/paper/1406.2210/) (2014)
- [Quantum Artificial Life in an IBM Quantum Computer](https://mlsanity.com/paper/1711.09442/) (2017)
- [Uncovering patterns of inter-urban trip and spatial interaction from social media check-in data](https://mlsanity.com/paper/1310.0282/) (2013)
- [Role of Interdisciplinarity in Computer Sciences: Quantification, Impact and Life Trajectory](https://mlsanity.com/paper/1710.06158/) (2017)
- [Interdisciplinary Research Collaborations: Evaluation of a Funding Program](https://mlsanity.com/paper/1307.6784/) (2013)
- [Relay-Linking Models for Prominence and Obsolescence in Evolving Networks](https://mlsanity.com/paper/1609.08371/) (2016)

## Abstract (arXiv)

Interdisciplinarity has over the recent years have gained tremendous importance and has become one of the key ways of doing cutting edge research. In this paper we attempt to model the citation flow across three different fields -- Physics (PHY), Mathematics (MA) and Computer Science (CS). For instance, is there a specific pattern in which these fields cite one another? We carry out experiments on a dataset comprising more than 1.2 million articles taken from these three fields. We quantify the citation interactions among these three fields through temporal bucket signatures. We present numerical models based on variants of the recently proposed relay-linking framework to explain the citation dynamics across the three disciplines. These models make a modest attempt to unfold the underlying principles of how citation links could have been formed across the three fields over time.