{"paper":{"title":"Simulating Node Manipulations in Gaussian Graphical Models: The GGMNIRA Framework for Continuous and Ordinal Psychological Network Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Fei Wang, Hongyun Liu, Yiming Wu","submitted_at":"2026-07-01T13:21:25Z","abstract_excerpt":"Scientific Abstract: In psychological network analysis, centrality indices are commonly used to evaluate the importance of nodes within a network. However, centrality only captures the static topological position of a node, and there is no sufficient theoretical justification for assuming that it reflects a node's influence on network dynamics. The NodeIdentifyR Algorithm (NIRA) offers an alternative by systematically applying simulated manipulations to node intercepts within the Ising model to evaluate nodes' projected importance, but this algorithm is restricted to binary data, and the manip"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.00915","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.00915/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}