1 Investment Interdependence
Origin Notes: Data collected in a survey of Ohio State University students by D. W. Malone. Students were presented with two potential obstacles to investment in Columbus, Ohio’s business district and asked, “does obstacle A aggravate or intensify obstacle B?” graph features handled: Directed edges, Hierarchical Graph features in papers: hierarchical,layered graphs,n-layers Origin Paper: An introduction to the application of interpretive structural modeling (https://www.notion.so/An-introduction-to-the-application-of-interpretive-structural-modeling-6d2f2dbeecb94b9b833cc24ed98bacc2?pvs=21) Size: 25 nodes, 30 edges Number of Graphs: 1 Appeared in years: 1981 Type of Collection: Single Graph is it stored properly?: No must be analyzed: No In repo?: Yes Related to Literature - Algorithm (1) (Dataset tag relations): Methods for Visual Understanding of Hierarchical System Structures (https://www.notion.so/Methods-for-Visual-Understanding-of-Hierarchical-System-Structures-a2e509205d5b43bdb34e3546524290f1?pvs=21) cleaned format?: Yes duplicate?: No link works?: No Added in paper: No OSF link json: https://files.osf.io/v1/resources/j7ucv/providers/osfstorage/64d90e6794a6be0ebd12e705 Origin paper plaintext: An introduction to the application of interpretive structural modeling Page id: 141028dac1c34b6dbb69710ea5c7ee10 unavailable/skip: No Cleaned ALL data: No OSF link gexf: https://files.osf.io/v1/resources/j7ucv/providers/osfstorage/64d949164cf7481076055631 OSF link gml: https://files.osf.io/v1/resources/j7ucv/providers/osfstorage/64d96e4d803e0c0caf558b9f OSF link graphml: https://files.osf.io/v1/resources/j7ucv/providers/osfstorage/64d97042803e0c0cb3558c35 first look: Yes sparkline data: {‘min’: 0, ‘max’: 6, ‘step_size’: 1, ‘num_bins’: 7, ‘bins’: [0, 1, 2, 3, 4, 5, 6], ‘node_degree’: [3, 3, 5, 11, 2, 0, 1]} Related to Literature - Algorithm (Dataset tag relations) 1: Methods for Visual Understanding of Hierarchical System Structures (../Benchmark%20sets%200cc6b5e454304aec98f3b59b1a720476/Literature%20ad87f14e7097454fb2f784e2c8a2797a/Literature%20-%20Algorithm%2012e01bfc60a84007aa7d2d34293e123d/Methods%20for%20Visual%20Understanding%20of%20Hierarchical%20S%208a4e07b400c5404f977451abad2f296d.md)
2 Body
Statistics
Description from Literature
From Methods for Visual Understanding of Hierarchical System Structures:
Presented in Fig. 5 are drawings of the nine-level hierarchy which appeared in Malone [11] and represent the interdependence of obstacles to investment in the Columbus, Ohio, central business district.
Example Figures
From Methods for Visual Understanding of Hierarchical System Structures:
Fig. 5. (cropped): Maps of the nine-level hierarchy [11]. (a) Initial. (b) BC + QP methods (c = 1.0). (c) BC + QP methods (cL= 0.5). (d) BC + QP methods (c = 0.05). (e) BC + PR methods.