{"id":"https://openalex.org/W5646917","doi":"https://doi.org/10.1007/978-3-319-08783-2_52","title":"Efficient Respondents Selection for Biased Survey Using Online Social Networks","display_name":"Efficient Respondents Selection for Biased Survey Using Online Social Networks","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W5646917","doi":"https://doi.org/10.1007/978-3-319-08783-2_52","mag":"5646917"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-08783-2_52","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-08783-2_52","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","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/A5100454675","display_name":"Donghyun Kim","orcid":"https://orcid.org/0000-0002-4845-9369"},"institutions":[{"id":"https://openalex.org/I123127086","display_name":"North Carolina Central University","ror":"https://ror.org/051r3tx83","country_code":"US","type":"education","lineage":["https://openalex.org/I123127086"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Donghyun Kim","raw_affiliation_strings":["Dept. of Math. and Physics, North Carolina Central University, Durham, NC, 27707, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Math. and Physics, North Carolina Central University, Durham, NC, 27707, USA","institution_ids":["https://openalex.org/I123127086"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111582391","display_name":"Jiaofei Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I184813773","display_name":"California State University, East Bay","ror":"https://ror.org/04jaeba88","country_code":"US","type":"education","lineage":["https://openalex.org/I184813773"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiaofei Zhong","raw_affiliation_strings":["Dept. of Math. and Computer Science, California State University, East Bay, Hayward, CA, 94542, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Math. and Computer Science, California State University, East Bay, Hayward, CA, 94542, USA","institution_ids":["https://openalex.org/I184813773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071842552","display_name":"Minhyuk Lee","orcid":"https://orcid.org/0000-0002-1838-5821"},"institutions":[{"id":"https://openalex.org/I123127086","display_name":"North Carolina Central University","ror":"https://ror.org/051r3tx83","country_code":"US","type":"education","lineage":["https://openalex.org/I123127086"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minhyuk Lee","raw_affiliation_strings":["Dept. of Math. and Physics, North Carolina Central University, Durham, NC, 27707, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Math. and Physics, North Carolina Central University, Durham, NC, 27707, USA","institution_ids":["https://openalex.org/I123127086"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083038336","display_name":"Deying Li","orcid":"https://orcid.org/0000-0002-7748-5427"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deying Li","raw_affiliation_strings":["School of Information, Renmin University of China, Beijing, 100872, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, Renmin University of China, Beijing, 100872, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091501565","display_name":"Alade Tokuta","orcid":null},"institutions":[{"id":"https://openalex.org/I123127086","display_name":"North Carolina Central University","ror":"https://ror.org/051r3tx83","country_code":"US","type":"education","lineage":["https://openalex.org/I123127086"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alade O. Tokuta","raw_affiliation_strings":["Dept. of Math. and Physics, North Carolina Central University, Durham, NC, 27707, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Math. and Physics, North Carolina Central University, Durham, NC, 27707, USA","institution_ids":["https://openalex.org/I123127086"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.8979,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.8277105,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"608","last_page":"615"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11502","display_name":"Facility Location and Emergency Management","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9901000261306763,"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/respondent","display_name":"Respondent","score":0.8554033041000366},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7428351044654846},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5650282502174377},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5583766102790833},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5468608140945435},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.538433849811554},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.5181370973587036},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5036777853965759},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.42298218607902527},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4228418469429016},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2779751420021057},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.2658689618110657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24962443113327026},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17818105220794678}],"concepts":[{"id":"https://openalex.org/C2776640315","wikidata":"https://www.wikidata.org/wiki/Q7315941","display_name":"Respondent","level":2,"score":0.8554033041000366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7428351044654846},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5650282502174377},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5583766102790833},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5468608140945435},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.538433849811554},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.5181370973587036},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5036777853965759},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.42298218607902527},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4228418469429016},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2779751420021057},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.2658689618110657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24962443113327026},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17818105220794678},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-319-08783-2_52","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-08783-2_52","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.719.4358","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.719.4358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.nccu.edu/%7Edkim/papers/2014CSoNet-paper.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W37658993","https://openalex.org/W149736627","https://openalex.org/W1506292197","https://openalex.org/W1801543149","https://openalex.org/W1964869462","https://openalex.org/W2000255203","https://openalex.org/W2011039300","https://openalex.org/W2076189040","https://openalex.org/W2102011792","https://openalex.org/W2145287244","https://openalex.org/W2159500958","https://openalex.org/W2504079257","https://openalex.org/W2971126390","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W1513648108"],"abstract_inverted_index":null,"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}