{"id":"W2003131755","doi":"10.1145/1516360.1516442","title":"Efficient identification of starters and followers in social media","year":2009,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Social media; Identification (biology); Relation (database); World Wide Web; Computer science; Social web; User engagement; Internet privacy; Sociology; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001533842,0.0003832403,0.0007044472,0.003611839,0.0008045274,0.001609175,0.0006670795,0.001099861,0.003103322],"category_scores_gemma":[0.009559219,0.0004072975,0.0003393943,0.001807667,0.0003930902,0.002480543,0.001551895,0.0007320518,0.00322844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002435807,"about_ca_system_score_gemma":0.0004210566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001964398,"about_ca_topic_score_gemma":0.003478105,"domain_scores_codex":[0.9987081,0.0003322046,0.00006898439,0.000425437,0.0002994883,0.0001657285],"domain_scores_gemma":[0.9933916,0.003591686,0.001041323,0.0006565021,0.0008407002,0.0004782082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001119492,0.000622711,0.5421547,0.0004458241,0.000191203,0.0009715423,0.004412409,0.006095835,0.04582956,0.009540875,0.00940465,0.3792112],"study_design_scores_gemma":[0.0001033734,0.0006828522,0.4958371,0.000210241,0.0002390614,0.001684471,0.006795316,0.4111179,0.03084959,0.03200731,0.02031885,0.0001540161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8813893,0.0006972145,0.1071497,0.0003610481,0.00008932018,0.0003917124,0.002118295,0.000585506,0.007217826],"genre_scores_gemma":[0.9337704,0.0003682727,0.0553437,0.00006535729,0.0001050369,0.0002786269,0.002779199,0.00007064571,0.007218859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003611839,"threshold_uncertainty_score":0.01038164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008561950765350197,"score_gpt":0.2586957993499315,"score_spread":0.2501338485845813,"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."}}