Abstract

Institutions funded by Arts Council England and community-run social networks both require resilience and churn to adapt and grow or risk decline and failure. I will discuss two projects: first modelling the effect of spatial contagion via a high granularity time-series of joining and leaving events of managerial volunteers for the pre-internet FidoNet network. FidoNet began in 1983 and peaked in 1995 with users across six continents and up to 5 million users in the US alone. It persists to this day but declined by an estimated three orders of magnitude. Second I will cover preliminary findings on board level interlock between Tier 1 Arts Council England funded institutions, including what other sectors of companies and charities they are connected to, measures of centrality and influence, and how they have responded to shocks in their sectors. I will also summarise the methods and data structures used to extract, generate, store and analyse these networks, and how we constructed helpful units of analysis for dynamics over time.