# Trust in Motion: Capturing Trust Ascendancy in Open-Source Projects using Hybrid AI

arXiv: https://arxiv.org/abs/2210.02656 · HTML: https://mlsanity.com/paper/2210.02656/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 16 of its 42 references that are in the map.
- First posted on arXiv 6 Oct 2022.

## Builds on (most cited first, 16 of 16)

- [Distributed Representations of Words and Phrases and their Compositionality](https://mlsanity.com/paper/1310.4546/) (2013)
- [Temporal Graph Networks for Deep Learning on Dynamic Graphs](https://mlsanity.com/paper/2006.10637/) (2020)
- [Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change](https://mlsanity.com/paper/1605.09096/) (2016)
- [Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good](https://mlsanity.com/paper/1906.06725/) (2019)
- [Statistically Significant Detection of Linguistic Change](https://mlsanity.com/paper/1411.3315/) (2014)
- [Dynamic Word Embeddings](https://mlsanity.com/paper/1702.08359/) (2017)
- [Dynamic Word Embeddings for Evolving Semantic Discovery](https://mlsanity.com/paper/1703.00607/) (2017)
- [dynnode2vec: Scalable Dynamic Network Embedding](https://mlsanity.com/paper/1812.02356/) (2018)
- [Training Temporal Word Embeddings with a Compass](https://mlsanity.com/paper/1906.02376/) (2019)
- [Dynamic Contextualized Word Embeddings](https://mlsanity.com/paper/2010.12684/) (2020)
- [Learn on Source, Refine on Target:A Model Transfer Learning Framework with Random Forests](https://mlsanity.com/paper/1511.01258/) (2015)
- [ATTACK2VEC: Leveraging Temporal Word Embeddings to Understand the Evolution of Cyberattacks](https://mlsanity.com/paper/1905.12590/) (2019)
- [Dynamic Network Embeddings for Network Evolution Analysis](https://mlsanity.com/paper/1906.09860/) (2019)
- [A Preliminary Analysis on the Effects of Propensity to Trust in Distributed Software Development](https://mlsanity.com/paper/1702.04958/) (2017)
- [Activity-Based Analysis of Open Source Software Contributors: Roles and Dynamics](https://mlsanity.com/paper/1903.05277/) (2019)
- [Dev2vec: Representing Domain Expertise of Developers in an Embedding Space](https://mlsanity.com/paper/2207.05132/) (2022)

## Abstract (arXiv)

Open-source is frequently described as a driver for unprecedented communication and collaboration, and the process works best when projects support teamwork. Yet, open-source cooperation processes in no way protect project contributors from considerations of trust, power, and influence. Indeed, achieving the level of trust necessary to contribute to a project and thus influence its direction is a constant process of change, and developers take many different routes over many communication channels to achieve it. We refer to this process of influence-seeking and trust-building as trust ascendancy. This paper describes a methodology for understanding the notion of trust ascendancy and introduces the capabilities that are needed to localize trust ascendancy operations happening over open-source projects. Much of the prior work in understanding trust in open-source software development has focused on a static view of the problem using different forms of quantity measures. However, trust ascendancy is not static, but rather adapts to changes in the open-source ecosystem in response to new input. This paper is the first attempt to articulate and study these signals from a dynamic view of the problem. In that respect, we identify related work that may help illuminate research challenges, implementation tradeoffs, and complementary solutions. Our preliminary results show the effectiveness of our method at capturing the trust ascendancy developed by individuals involved in a well-documented 2020 social engineering attack. Our future plans highlight research challenges and encourage cross-disciplinary collaboration to create more automated, accurate, and efficient ways to model and then track trust ascendancy in open-source projects.