{"id":"W4403978525","doi":"10.1016/j.heliyon.2024.e40031","title":"Budget-aware local influence iterative algorithm for efficient influence maximization in social networks","year":2024,"lang":"en","type":"article","venue":"Heliyon","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Maximization; Computer science; Algorithm; Mathematical optimization; Management science; Mathematics; Economics","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":[0.0001696276,0.0001721352,0.0002041828,0.0001391664,0.0001603348,0.0001454719,0.000117463,0.00006582741,0.00004445239],"category_scores_gemma":[0.000002832191,0.000171947,0.0001153432,0.0005927978,0.00006210581,0.0001393139,0.00006815203,0.0002090712,0.000009810927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009108106,"about_ca_system_score_gemma":0.0000429796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006502225,"about_ca_topic_score_gemma":0.00002043993,"domain_scores_codex":[0.9988922,0.00005343435,0.0002977127,0.0003469584,0.0001212892,0.000288401],"domain_scores_gemma":[0.9995497,0.0001035426,0.00005756492,0.0001270114,0.0001229386,0.00003927868],"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":[0.00001381212,0.00009781518,0.002117214,0.00008906265,0.00007438598,0.00004258336,0.0009015452,0.5691785,0.00006349112,0.01160656,0.0004394114,0.4153756],"study_design_scores_gemma":[0.000166343,0.00003130401,0.0008965397,0.0002476403,0.00002933435,0.000003679423,0.0001282587,0.9950278,0.0002816718,0.001375902,0.001607146,0.00020435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09008927,0.0003836926,0.9087698,0.00006030687,0.00006237378,0.0003387621,0.0000302157,0.0001195307,0.0001460001],"genre_scores_gemma":[0.996291,0.00001065383,0.002860923,0.00006227446,0.0004133414,0.0001962467,0.00008132507,0.00002384513,0.00006035461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9062018,"threshold_uncertainty_score":0.7011793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007111849545910799,"score_gpt":0.2740023657546395,"score_spread":0.2668905162087287,"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."}}