{"id":"W2070199170","doi":"10.1007/s13278-012-0062-z","title":"On minimizing budget and time in influence propagation over social networks","year":2012,"lang":"en","type":"article","venue":"Social Network Analysis and Mining","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":147,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Viral marketing; Maximization; Task (project management); Set (abstract data type); Computer science; Budget constraint; Context (archaeology); Mathematical optimization; Selection (genetic algorithm); Mathematics; Artificial intelligence; Economics; Social media","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":[0.0006434823,0.0002221327,0.000527184,0.0001993645,0.0005003763,0.00007938594,0.00008318359,0.00009655108,0.000108902],"category_scores_gemma":[0.000006683209,0.0002258317,0.0001830451,0.001299333,0.00008907561,0.0002088162,0.000105551,0.0002168442,0.000001916662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003379995,"about_ca_system_score_gemma":0.00001145229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000142032,"about_ca_topic_score_gemma":0.00005043348,"domain_scores_codex":[0.9984516,0.0001652901,0.0003677245,0.0003089733,0.0001733022,0.0005331194],"domain_scores_gemma":[0.9993834,0.0001621676,0.0002339034,0.00009867712,0.0000375652,0.00008432597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003613543,0.00008596214,0.9315463,0.000005180945,0.0008088833,7.999452e-7,0.002597302,0.006851132,0.00003819225,0.01305528,0.002111763,0.04286304],"study_design_scores_gemma":[0.000566503,0.00004277458,0.8463497,0.00005312379,0.00149645,2.742245e-7,0.0005748432,0.1453994,0.00001025592,0.004110207,0.0007248722,0.0006716724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906415,0.0002782454,0.006866259,0.00006547903,0.00002499966,0.0001256885,0.000002965576,0.00003965725,0.001955171],"genre_scores_gemma":[0.9975328,0.00001339772,0.0006806422,0.0001155698,0.001475282,0.00002670427,0.00005992164,0.0000187587,0.00007689439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1385482,"threshold_uncertainty_score":0.9209148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006771410045472699,"score_gpt":0.2553418218687794,"score_spread":0.2485704118233067,"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."}}