{"id":"W2037188504","doi":"10.1016/j.physa.2014.06.011","title":"Viral information propagation in the Digg online social network","year":2014,"lang":"en","type":"article","venue":"Physica A Statistical Mechanics and its Applications","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Fields Institute for Research in Mathematical Sciences; Arizona State University","keywords":"Focus (optics); Voting; Computer science; Viral marketing; Social media; Social network (sociolinguistics); Diffusion; Point (geometry); World Wide Web; Physics; Mathematics; Politics; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001013322,0.000364641,0.0005925343,0.002306643,0.001083914,0.001710593,0.0009476683,0.001133357,0.002020381],"category_scores_gemma":[0.006914275,0.0003413287,0.0004913768,0.001317543,0.001051791,0.002286621,0.0009782056,0.0006698351,0.0003600581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00130474,"about_ca_system_score_gemma":0.0005776219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007668421,"about_ca_topic_score_gemma":0.007476554,"domain_scores_codex":[0.9995209,0.0001904064,0.00001470836,0.00008931373,0.0001124805,0.00007222149],"domain_scores_gemma":[0.9958079,0.002576895,0.00060591,0.0002257354,0.0004840682,0.0002995193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003587352,0.0002623742,0.02756064,0.0002602788,0.0001542996,0.001077252,0.001460383,0.2990585,0.0110087,0.609386,0.007332316,0.04208061],"study_design_scores_gemma":[0.00001498898,0.00003069971,0.00310938,0.00001816394,0.00001926128,0.0001557069,0.0001392039,0.9361299,0.000624603,0.05859529,0.001137553,0.00002516586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7807779,0.0009542026,0.2054513,0.001685995,0.0001093447,0.0001034935,0.0006701215,0.0002262677,0.0100213],"genre_scores_gemma":[0.9888298,0.000318781,0.00557175,0.00008986565,0.00006394247,0.00003613956,0.0001635178,0.0000192265,0.004907177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007668421,"threshold_uncertainty_score":0.01524758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00956996371043885,"score_gpt":0.2682098733640599,"score_spread":0.258639909653621,"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."}}