{"id":"W2022518109","doi":"10.1038/ncomms6121","title":"A scaling law for random walks on networks","year":2014,"lang":"en","type":"article","venue":"Nature Communications","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; McGill University; Ottawa Hospital","funders":"","keywords":"Random walk; Statistical physics; Complex network; Random graph; Continuous-time random walk; Nonlinear system; Power law; Exponential function; Computer science; Probability distribution; Scaling; Stochastic process; Path (computing); Mathematics; Physics; Theoretical computer science; Mathematical analysis; Combinatorics; Graph; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003337481,0.0001109095,0.0001857637,0.00004163609,0.0004455431,0.00005449064,0.0007817268,0.00009656268,0.00002839177],"category_scores_gemma":[0.00002499113,0.0001027767,0.0001844875,0.0001669991,0.00006793323,0.00004115395,0.0001524718,0.0005897426,0.000006089405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001576807,"about_ca_system_score_gemma":0.000007814642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004421176,"about_ca_topic_score_gemma":0.0001224864,"domain_scores_codex":[0.999311,0.0001177244,0.0001826459,0.0001507267,0.00007421368,0.0001636873],"domain_scores_gemma":[0.997066,0.001161707,0.00009269019,0.001529249,0.0001070224,0.00004334069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001523479,0.00007964855,0.0004126126,0.000001044907,0.00005457288,6.106025e-9,0.00002380188,0.0007505612,0.00002448953,0.9688817,0.008398286,0.02135809],"study_design_scores_gemma":[0.0008229332,0.00003013348,0.0002127468,0.00004032567,0.00009255051,1.291801e-7,0.00002077366,0.2392354,0.0002032609,0.0529498,0.706182,0.0002099528],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002102112,0.001410563,0.7815148,0.004738779,0.0001930287,0.001018104,0.0000342502,0.0003878136,0.2086005],"genre_scores_gemma":[0.9806437,0.00001012378,0.01779556,0.0006551699,0.000340687,0.000190611,0.0002579452,0.00001885557,0.00008727683],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9785417,"threshold_uncertainty_score":0.419111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429998231131488,"score_gpt":0.3106405238194915,"score_spread":0.2963405415081766,"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."}}