| name | ecosystem-relationship-analysis |
| description | 专门分析商业生态系统中各主体间关系的技能，提供关系类型分析、网络拓扑分析、关键关系识别、生态系统健康度评估等功能，分析合作、竞争、供应、投资、监管等多种关系类型 |
| version | 1.0.0 |
| author | socienceAI.com |
| license | MIT |
| tags | ["ecosystem","relationship-analysis","network","stability","community-detection"] |
| compatibility | Node.js environment |
| metadata | {"domain":"business-analysis","methodology":"network-analysis","complexity":"intermediate","integration_type":"analysis_tool","last_updated":"2025-12-26"} |
| allowed-tools | ["node","bash","read_file","write_file"] |
生态系统关系分析技能
何时使用
- 商业生态系统中实体间关系的全面分析
- 生态系统网络拓扑结构的分析
- 关键关系和重要实体的识别
- 生态系统健康度和稳定性的评估
- 供应链网络的分析和优化
- 合作伙伴关系的评估
- 竞争格局和网络效应的分析
- 生态系统稳定性评估
核心功能
- 关系类型分析: 分析实体间的合作、竞争、供应、投资、监管等关系
- 网络拓扑分析: 计算网络密度、连通性、度分布、聚类系数、路径长度等
- 关键关系识别: 识别高强关系和网络中的关键节点
- 生态系统健康度评估: 评估网络结构健康度、连接质量、多样性、稳定性
- 社区检测: 识别生态系统中的功能模块
脚本调用时机
当需要执行生态系统关系分析时，调用 ecosystem_relationship_analyzer.py 脚本。
输入格式
{
"entities": [
{
"id": "实体唯一标识",
"name": "实体名称",
"type": "实体类型",
"industry": "所属行业",
"characteristics": {}
}
],
"relationships": [
{
"source": "源实体ID",
"target": "目标实体ID",
"type": "关系类型",
"strength": "关系强度(0-1)",
"description": "关系描述"
}
]
}
输出格式
{
"summary": {
"total_entities": "实体总数",
"total_relationships": "关系总数",
"relationship_types": "关系类型列表",
"ecosystem_health_score": "生态系统健康度分数",
"key_relationships_count": "关键关系数量"
},
"details": {
"relationshipAnalysis": {
"summary": {
"totalRelationships": "总关系数",
"averageStrength": "平均强度",
"relationshipTypeCount": "关系类型数",
"keyRelationshipCount": "关键关系数",
"primaryTypes": "主要关系类型"
},
"relationshipTypes": {
"关系类型": {
"count": "该类型关系数",
"avgStrength": "该类型平均强度"
}
},
"keyRelationships": [
{
"source": "源实体ID",
"target": "目标实体ID",
"type": "关系类型",
"strength": "关系强度",
"keyScore": "关键分数",
"sourceImportance": "源实体重要性",
"targetImportance": "目标实体重要性"
}
]
},
"networkProperties": {
"topology": {
"entityCount": "实体数",
"relationshipCount": "关系数",
"density": "网络密度",
"averageDegree": "平均度"
},
"centralities": {
"degree": "度中心性",
"closeness": "接近中心性",
"betweenness": "中介中心性"
},
"communities": {
"count": "社区数量",
"communities": [
{
"id": "社区ID",
"entities": "实体列表",
"size": "社区规模"
}
],
"entityToCommunity": "实体到社区映射"
},
"health": {
"score": "健康度分数",
"indicators": {
"density": "密度指标",
"connectivity": "连通性指标",
"diversity": "多样性指标",
"averageDegree": "平均度指标"
},
"assessment": "健康度评估"
}
}
},
"metadata": {
"timestamp": "时间戳",
"version": "版本号",
"skill": "技能名称",
"validationScore": "验证分数"
}
}
执行步骤
- 准备生态系统实体和关系数据
- 分析不同类型的关系
- 计算网络拓扑属性
- 识别关键关系和实体
- 评估生态系统健康度
- 执行社区检测
输出结果
- 完整的关系类型分析结果
- 准确的网络拓扑属性计算
- 有效的关键关系和实体识别
- 合理的生态系统健康度评估
- 清晰的社区结构分析
- 具体可行的优化建议
