ecosystem-relationship-analysis

To map a business ecosystem, you input entity and relationship data with defined strength values to analyze network topology, classify relationship types, and generate a structured JSON report containing ecosystem health scores and community detection.

Ecosystem health scoring evaluates stability by calculating network density, centrality metrics, and connected components, combining these topology signals with key relationship rankings to produce an overall stability assessment and actionable recommendations.

Yes, stakeholder analysis supports supply-chain mapping and competitive landscape assessment by computing relationship-type summaries for cooperation, competition, supply, and investment ties, ranking critical connections by entity importance and relationship strength.

You identify key relationships by ranking connections using entity importance and relationship strength, while community detection algorithms group entities into structural modules based on network topology properties like degree, closeness, and betweenness centrality.

Ecosystem relationship mapping requires structured entity inputs and relationship inputs with relationship strengths defined in a specific range, enabling the computation of network topology signals and producing a structured JSON output with health assessments.

Community detection for ecosystem stability evaluation depends on accurate relationship strength inputs; without properly defined entity connections and strength ranges, the network topology signals and resulting ecosystem health score may not reflect true partnership stability.