{"id":"https://openalex.org/W3013263727","doi":"https://doi.org/10.1007/978-3-030-44041-1_46","title":"Performance Evaluation of Nomadic L\u00e9vy Walk on Unit Disk Graphs Using Hierarchical Clustering","display_name":"Performance Evaluation of Nomadic L\u00e9vy Walk on Unit Disk Graphs Using Hierarchical Clustering","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3013263727","doi":"https://doi.org/10.1007/978-3-030-44041-1_46","mag":"3013263727"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-44041-1_46","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-44041-1_46","pdf_url":null,"source":{"id":"https://openalex.org/S2764905038","display_name":"Advances in intelligent systems and computing","issn_l":"2194-5357","issn":["2194-5357","2194-5365"],"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":"Advances in Intelligent Systems and Computing","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/A5015701058","display_name":"Koichiro Sugihara","orcid":null},"institutions":[{"id":"https://openalex.org/I168356945","display_name":"Kyoto Sangyo University","ror":"https://ror.org/05t70xh16","country_code":"JP","type":"education","lineage":["https://openalex.org/I168356945"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Koichiro Sugihara","raw_affiliation_strings":["Kyoto Sangyo University, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Kyoto Sangyo University, Kyoto, Japan","institution_ids":["https://openalex.org/I168356945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077869411","display_name":"Naohiro Hayashibara","orcid":"https://orcid.org/0000-0003-0227-7452"},"institutions":[{"id":"https://openalex.org/I168356945","display_name":"Kyoto Sangyo University","ror":"https://ror.org/05t70xh16","country_code":"JP","type":"education","lineage":["https://openalex.org/I168356945"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naohiro Hayashibara","raw_affiliation_strings":["Kyoto Sangyo University, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Kyoto Sangyo University, Kyoto, Japan","institution_ids":["https://openalex.org/I168356945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015701058"],"corresponding_institution_ids":["https://openalex.org/I168356945"],"apc_list":null,"apc_paid":null,"fwci":2.8668,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.90242305,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"512","last_page":"522"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9977999925613403,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9977999925613403,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13187","display_name":"Diffusion and Search Dynamics","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6413824558258057},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.5845674276351929},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.5490432977676392},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5490099787712097},{"id":"https://openalex.org/keywords/l\u00e9vy-flight","display_name":"L\u00e9vy flight","score":0.5195496678352356},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4299493730068207},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3383777141571045},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3282192349433899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.304063081741333},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1778683066368103}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6413824558258057},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.5845674276351929},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.5490432977676392},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5490099787712097},{"id":"https://openalex.org/C118918019","wikidata":"https://www.wikidata.org/wiki/Q4114998","display_name":"L\u00e9vy flight","level":3,"score":0.5195496678352356},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4299493730068207},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3383777141571045},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3282192349433899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.304063081741333},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1778683066368103}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-44041-1_46","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-44041-1_46","pdf_url":null,"source":{"id":"https://openalex.org/S2764905038","display_name":"Advances in intelligent systems and computing","issn_l":"2194-5357","issn":["2194-5357","2194-5365"],"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":"Advances in Intelligent Systems and Computing","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W134255818","https://openalex.org/W1484164095","https://openalex.org/W1557758852","https://openalex.org/W1584325681","https://openalex.org/W1955291487","https://openalex.org/W1971523415","https://openalex.org/W1976744965","https://openalex.org/W2008906908","https://openalex.org/W2040675064","https://openalex.org/W2056732865","https://openalex.org/W2081653438","https://openalex.org/W2115292965","https://openalex.org/W2118340519","https://openalex.org/W2133286823","https://openalex.org/W2170486501","https://openalex.org/W2229908198","https://openalex.org/W2613076409","https://openalex.org/W2887681950","https://openalex.org/W2952699716","https://openalex.org/W3004882793","https://openalex.org/W4239904069"],"related_works":["https://openalex.org/W2887681950","https://openalex.org/W2786054093","https://openalex.org/W3042631919","https://openalex.org/W3200375535","https://openalex.org/W3141965839","https://openalex.org/W2049832396","https://openalex.org/W4235515609","https://openalex.org/W4300805735","https://openalex.org/W1967991447","https://openalex.org/W2121637044"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
