Evidence for complex contagion models of social contagion from observational data
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{"title"=>"Evidence for complex contagion models of social contagion from observational data", "type"=>"journal", "authors"=>[{"first_name"=>"Daniel A.", "last_name"=>"Sprague", "scopus_author_id"=>"57194789723"}, {"first_name"=>"Thomas", "last_name"=>"House", "scopus_author_id"=>"6701370105"}], "year"=>2017, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "doi"=>"10.1371/journal.pone.0180802", "sgr"=>"85022187181", "scopus"=>"2-s2.0-85022187181", "isbn"=>"1111111111", "pui"=>"617202883"}, "id"=>"1dbe1b38-e137-3037-87c8-58d30ce620c2", "abstract"=>"Social influence can lead to behavioural ‘fads’ that are briefly popular and quickly die out. Various models have been proposed for these phenomena, but empirical evidence of their accuracy as real-world predictive tools has so far been absent. Here we find that a ‘complex contagion’ model accurately describes the spread of behaviours driven by online sharing. We found that standard, ‘simple’, contagion often fails to capture both the rapid spread and the long tails of popularity seen in real fads, where our complex contagion model succeeds. Complex contagion also has predictive power: it successfully predicted the peak time and duration of the ALS Icebucket Challenge. The fast spread and longer duration of fads driven by complex contagion has important implications for activities such as publicity campaigns and charity drives.", "link"=>"http://www.mendeley.com/research/evidence-complex-contagion-models-social-contagion-observational-data-3", "reader_count"=>19, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>4, "Student > Master"=>6, "Student > Bachelor"=>3, "Lecturer"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>4, "Student > Master"=>6, "Student > Bachelor"=>3, "Lecturer"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Engineering"=>1, "Mathematics"=>2, "Agricultural and Biological Sciences"=>1, "Business, Management and Accounting"=>2, "Sports and Recreations"=>1, "Psychology"=>1, "Social Sciences"=>2, "Computer Science"=>1, "Economics, Econometrics and Finance"=>2, "Physics and Astronomy"=>1, "Earth and Planetary Sciences"=>1, "Nursing and Health Professions"=>2}, "reader_count_by_subdiscipline"=>{"Social Sciences"=>{"Social Sciences"=>2}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Psychology"=>{"Psychology"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Mathematics"=>{"Mathematics"=>2}, "Unspecified"=>{"Unspecified"=>2}, "Engineering"=>{"Engineering"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>2}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>1}, "Computer Science"=>{"Computer Science"=>1}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>2}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>2}}, "group_count"=>3}

Scopus | Further Information

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