用新方法拆解论文引用来源，看清学者影响力来自圈内还是圈外。
Where Do Your Citations Come From? Citation-Constellation: A Free, Open-Source, No-Code, and Auditable Tool for Citation Network Decomposition with Complementary BARON and HEROCON Scores
- 通过网络距离区分引用来源，分圈内外计算影响力得分。
- 提出BARON与HEROCON双指标，揭示学者依赖内部圈子的程度。
- 无需代码、可审计，适合想分析引用结构的研究者使用。
传统引文指标将所有引用等同看待，掩盖了学术影响力传播的社会与结构路径。本文提出Citation-Constellation，一款免费开源、无需编码的引文网络分析工具，包含两个互补的文献计量评分：BARON（边界锚定研究外展网络得分）严格只计来自合作网络外部的引用；HEROCON（全面均衡研究外展星座得分）对组内引用按关系亲疏给予梯度赋权。两分差值可诊断学者对内部圈子的依赖程度。工具采用四阶段架构：(1) 自引分析，(2) 合作作者图遍历，(3) 基于ROR的时间机构归属匹配，(4) 使用本地LLM的AI代理进行会议治理提取（开发中）。前三个阶段已可用。关键设计包括基于ORCID的作者身份验证、对元数据不足的引用归为UNKNOWN类别，以及完整审计日志记录每一步分类决策。无代码网页界面支持用户免安装、免注册计算得分。强调这些分数是结构诊断工具，而非质量评价标准，不应用于招聘、晋升或资助决策。HEROCON权重为实验性，需实证校准。
原文摘要 · Abstract (English)
Standard citation metrics treat all citations as equal, obscuring the social and structural pathways through which scholarly influence propagates. I introduce Citation-Constellation, a freely available no-code tool for citation network analysis with two complementary bibliometric scores that decompose a researcher's citation profile by network proximity between citing and cited authors. BARON (Boundary-Anchored Research Outreach Network score) is a strict binary metric counting only citations from outside the detected collaborative network. HEROCON (Holistic Equilibrated Research Outreach CONstellation score) applies graduated weights assigning partial credit to in-group citations based on relationship proximity. The gap between scores serves as a diagnostic of inner-circle dependence. An extended abstract with full details appears in the paper. The tool implements this through a phased architecture: (1) self-citation analysis, (2) co-authorship graph traversal, (3) temporal institutional affiliation matching via ROR, and (4) AI-agent-driven venue governance extraction using a local LLM. Phases 1-3 are fully operational; Phase 4 is under development. Key design choices include ORCID-validated author identity resolution, an UNKNOWN classification for citations with insufficient metadata, and comprehensive audit trails documenting every classification decision. A no-code web interface enables researchers to compute scores without programming, installation, or registration. I present these scores as structural diagnostics, not quality indicators. BARON and HEROCON describe where in the social graph citations originate. They should not be used for hiring, promotion, or funding decisions. HEROCON weights are experimental and require empirical calibration.
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