{"id":"https://openalex.org/W1753633677","doi":"https://doi.org/10.1007/978-3-540-79187-4_8","title":"Capturing Public Knowledge to Forecast Future Events","display_name":"Capturing Public Knowledge to Forecast Future Events","publication_year":2008,"publication_date":"2008-05-06","ids":{"openalex":"https://openalex.org/W1753633677","doi":"https://doi.org/10.1007/978-3-540-79187-4_8","mag":"1753633677"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-79187-4_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-79187-4_8","pdf_url":null,"source":{"id":"https://openalex.org/S2764461748","display_name":"Studies in computational intelligence","issn_l":"1860-949X","issn":["1860-949X","1860-9503"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Computational Intelligence","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060957612","display_name":"Thomas Seemann","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Seemann","raw_affiliation_strings":["Departement of Business Administration, Economics and Social Sciences, Friedrich-Alexander University Erlangen-Nuremberg, Germany","Friedrich Alexander University Erlangen/Nuremberg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departement of Business Administration, Economics and Social Sciences, Friedrich-Alexander University Erlangen-Nuremberg, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Friedrich Alexander University Erlangen/Nuremberg","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060802274","display_name":"Harald Hungenberg","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Harald Hungenberg","raw_affiliation_strings":["Departement of Business Administration, Economics and Social Sciences, Friedrich-Alexander University Erlangen-Nuremberg, Germany","Friedrich Alexander University Erlangen/Nuremberg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departement of Business Administration, Economics and Social Sciences, Friedrich-Alexander University Erlangen-Nuremberg, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Friedrich Alexander University Erlangen/Nuremberg","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9968,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.92103303,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"87","last_page":"95"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11875","display_name":"Statistics Education and Methodologies","score":0.9355000257492065,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.9301000237464905,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/contest","display_name":"CONTEST","score":0.9234410524368286},{"id":"https://openalex.org/keywords/prediction-market","display_name":"Prediction market","score":0.6884047985076904},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.6100143194198608},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5264849662780762},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4949895739555359},{"id":"https://openalex.org/keywords/empirical-evidence","display_name":"Empirical evidence","score":0.42135974764823914},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3980826139450073},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32085663080215454},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.21200302243232727},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12497749924659729},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.08321535587310791}],"concepts":[{"id":"https://openalex.org/C2777582232","wikidata":"https://www.wikidata.org/wiki/Q5013414","display_name":"CONTEST","level":2,"score":0.9234410524368286},{"id":"https://openalex.org/C2780021719","wikidata":"https://www.wikidata.org/wiki/Q282283","display_name":"Prediction market","level":2,"score":0.6884047985076904},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.6100143194198608},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5264849662780762},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4949895739555359},{"id":"https://openalex.org/C166052673","wikidata":"https://www.wikidata.org/wiki/Q83021","display_name":"Empirical evidence","level":2,"score":0.42135974764823914},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3980826139450073},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32085663080215454},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.21200302243232727},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12497749924659729},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.08321535587310791},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-540-79187-4_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-79187-4_8","pdf_url":null,"source":{"id":"https://openalex.org/S2764461748","display_name":"Studies in computational intelligence","issn_l":"1860-949X","issn":["1860-949X","1860-9503"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Computational Intelligence","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1749386881","https://openalex.org/W2018376671","https://openalex.org/W2021772914","https://openalex.org/W2035159641","https://openalex.org/W2065050841","https://openalex.org/W2086620565","https://openalex.org/W2148919605","https://openalex.org/W2169945070","https://openalex.org/W2169947127","https://openalex.org/W2598477677","https://openalex.org/W3122024901","https://openalex.org/W4256232447","https://openalex.org/W4285675989"],"related_works":["https://openalex.org/W2735088306","https://openalex.org/W4286740636","https://openalex.org/W2946214509","https://openalex.org/W2606108738","https://openalex.org/W2628063975","https://openalex.org/W2356479129","https://openalex.org/W2387346515","https://openalex.org/W2352196451","https://openalex.org/W2590086693","https://openalex.org/W2381260192"],"abstract_inverted_index":null,"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
