方法对比

	IGO Network Analysis	Alliance Portfolio Similarity
领域	International Relations	International Relations
方法族	Process / pipeline	Process / pipeline
起源年份	2004	1999
提出者	Correlates of War IGO data (Pevehouse, Nordstrom & Warnke); network treatments by Ingram, Robinson & Busch and others	Bueno de Mesquita (Tau-b); Curtis Signorino & Jeffrey Ritter (S)
类型	Affiliation/co-membership network analysis of international organizations	Dyadic similarity index over alliance commitment profiles
开创性文献	Pevehouse, J. C., Nordstrom, T., & Warnke, K. (2004). The Correlates of War 2 international governmental organizations data version 2.0. Conflict Management and Peace Science, 21(2), 101–119.	Signorino, C. S., & Ritter, J. M. (1999). Tau-b or not Tau-b: Measuring the similarity of foreign policy positions. International Studies Quarterly, 43(1), 115–144.
别名	Intergovernmental Organization Network Analysis, IGO Co-membership Network, International Organization Network Analysis, IGO Affiliation Network	Alliance Portfolio Similarity Scores, S-Score of Alliance Similarity, Tau-b Alliance Similarity, Alliance Profile Similarity
相关	3	3
摘要	IGO network analysis treats the web of states' memberships in intergovernmental organizations as a network and studies its structure and consequences. Using membership data such as the Correlates of War IGO dataset (Pevehouse, Nordstrom, and Warnke 2004), it represents which states belong to which organizations as an affiliation network, projects it into a state-to-state graph of shared memberships, and analyzes how organizational ties bind states together — measuring integration into global governance, detecting institutional blocs, and testing whether shared IGO membership shapes outcomes like trade and conflict.	Alliance portfolio similarity measures how alike two states' overall patterns of alliance commitments are. Each state has a 'portfolio' — the profile of defense pacts, neutrality agreements, ententes, or no tie it holds with every other state — and the similarity of two portfolios is summarized in a single dyadic score. Signorino and Ritter (1999) showed that the long-dominant Kendall's tau-b measure is flawed for this purpose and introduced the S-score as a better-behaved alternative. These scores are a standard proxy for shared interests and have been used to operationalize utilities in expected-utility models of war.