Archive Workgroup Meeting # 43 15th October 2025

Описание: Singularity Net Archive monthly meeting held on October 15, 2025

Opening and Financial Issues

Singularity Net archive preserves the history of the Net Ambassador program, with all content licensed under open source and Creative Commons licenses. The goal is to provide a collaborative platform for sharing knowledge and best practices

Reviewing action and decision items.

Items reviewed from the previous meeting. Financial discussions highlighted that the token price was currently very low (lamenting that it wasn't even the previously low rate of $28).

Summary Quality Concerns and Documentation Policy

Ongoing issues with meeting summary quality were noted, described as worsening. Concerns included vague and meaningless content and submissions that appeared to be AI generated without oversight

Potential approaches to address this issue included:

• Declaring the existing corpus sufficient and making documentation non-compulsory going forward.
• Raising the issue at a future governance meeting to discuss the ethical responsibility of critically mediating AI-generated content rather than posting it uncritically.
• It was noted that this discussion might need to move to a wider work group sync call for agreement.

It was also confirmed that the quarterly report and Q4 budget had been submitted and passed.

Knowledge Graph Development Updates

Previous activities related to the knowledge graph (KG) included delivering a session on September 25th 2025 , which was ticked off as complete.

GitHub Repo - https://github.com/SingularityNET-Arc...

Stephen summarized work demonstrating how data from JSON dumps (provided by Andre) is converted into a format readable by graph software like Gephi for graphical visualization. The core lesson learned was the importance of clarifying the approach to structured data verification rather than just focusing on creating visual patterns.

Repository Reorganization and Automation

Stephen has reorganized the graph repository to be more user-friendly, creating distinct sections for data analysis, graph analysis, and reports, with the aim of automatically producing reports. The goal is to allow Python-literate users to create a virtual environment and run the scripts.

Graph Analysis Methods

Stephen is working on fundamental graph analysis methods, including centrality analysis, clustering, connected components, degree of nodes, and path analysis.

Unified Report - The objective is to create a single, unified report. The initial iteration shows technical details like the number of nodes and edges.
Degree Analysis (Co-attendance) - This analysis identifies individuals connected to the most unique other people. Initial results listed Ashley, Peter, and Cali as highly connected.
Path Analysis - This method identifies the deepest paths in the data, which currently confirms that agenda items generate the richest data.

Discussion on Data Interpretation and Future Direction

Participants discussed refining the knowledge graph outputs:

Template Sensitivity - Vani highlighted that results, such as the deepest JSON paths, are heavily influenced by the specific meeting summary template used by the work group. It was suggested that the graph methods need to recognize equivalence between fields (e.g., "in this meeting we discussed" versus "agenda items") across different templates.

Participation vs. Attendance - Vani noted that the current degree analysis only reflects meeting attendance. She suggested refining this by correlating co-attendance with action items to better gauge actual participation or contribution.

Interactive Session - Vani proposed replacing a formal Archives meeting with an interactive session where active community members review the initial reports (like the co-attendance table) and compare the data with their "lived experience" of the community to gain "useful insight".

Weighting - Discussion centered on applying weights to data to differentiate significance. Decisions, action items, or roles like facilitator or documenter could be weighted higher than mere presence. This would move the analysis beyond simple attendance metrics, though applying weights is considered a judgment call that implies an ethical procedure.

Expanding Scope - Suggestions were made to apply the structural analysis to work groups instead of just individuals, and to integrate other data sources like treasury data, governance data, and documents related to unrecognized volunteer work. Andre's work on Google APIs could potentially help identify document creators linked within meeting summaries.

Next Steps - The participants agreed that Stephen should focus on creating scripts to perform decision analysis (e.g., how people and work groups are connected to decisions). They decided to forgo a formal Archives meeting in November and instead aim for a meeting in early December focused on reviewing analytical use cases