{"id":"W3048211499","doi":"10.1016/j.socnet.2023.02.002","title":"Analysing networks of networks","year":2023,"lang":"en","type":"article","venue":"Social Networks","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Russian Science Foundation; University of Melbourne","keywords":"Exponential random graph models; Computer science; Interpersonal ties; Social network analysis; Social connectedness; Social network (sociolinguistics); Theoretical computer science; Network science; Graph; Random graph; Complex network; Psychology; Social psychology; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00065667,0.0003245327,0.0007147339,0.0002097215,0.000461603,0.00008016617,0.0004503782,0.0001941943,0.0004155695],"category_scores_gemma":[0.000005490253,0.0003458373,0.0006562549,0.003118797,0.0001837812,0.0001199587,0.0002796112,0.0005332899,0.0000140098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004004792,"about_ca_system_score_gemma":0.00003011708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002108024,"about_ca_topic_score_gemma":0.00003390155,"domain_scores_codex":[0.9975657,0.0001905933,0.0006753572,0.0004415119,0.0002977934,0.0008289744],"domain_scores_gemma":[0.9986759,0.0002202333,0.0004182987,0.0004166517,0.0001525131,0.0001164272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002195087,0.00006140249,0.04909709,0.000004577492,0.0005029147,0.000003650445,0.0001424494,0.824355,0.00001183243,0.0142782,0.03446656,0.07705434],"study_design_scores_gemma":[0.0002430628,0.00002279613,0.01264084,0.00003349547,0.0002144559,2.063752e-7,0.0002224487,0.9795315,0.00001018576,0.004510602,0.002210177,0.0003602559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0352236,0.0003921324,0.9501992,0.0001513078,0.0004526208,0.0003191958,0.00000903202,0.0006349172,0.01261797],"genre_scores_gemma":[0.9944574,0.000053237,0.0002780863,0.00006284774,0.004367277,0.00003806684,0.0003127283,0.00006554353,0.0003648259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9592338,"threshold_uncertainty_score":0.9998994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376727009239947,"score_gpt":0.2811959968693826,"score_spread":0.2674287267769831,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}