{"id":"https://openalex.org/W4313444838","doi":"https://doi.org/10.1007/978-981-19-5868-7_47","title":"The Ties that\u00a0Matter: From the\u00a0Perspective of\u00a0Similarity Measure in\u00a0Online Social Networks","display_name":"The Ties that\u00a0Matter: From the\u00a0Perspective of\u00a0Similarity Measure in\u00a0Online Social Networks","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4313444838","doi":"https://doi.org/10.1007/978-981-19-5868-7_47"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-19-5868-7_47","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-19-5868-7_47","pdf_url":null,"source":{"id":"https://openalex.org/S4210179954","display_name":"Lecture notes in electrical engineering","issn_l":"1876-1100","issn":["1876-1100","1876-1119"],"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 Electrical Engineering","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/A5036733207","display_name":"Soumita Das","orcid":"https://orcid.org/0000-0002-2412-9525"},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Soumita Das","raw_affiliation_strings":["Department of Computer Science and Engineering, National Institute of Technology, Silchar, 788010, Assam, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Institute of Technology, Silchar, 788010, Assam, India","institution_ids":["https://openalex.org/I151903974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078136113","display_name":"Anupam Biswas","orcid":"https://orcid.org/0000-0003-0756-6026"},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anupam Biswas","raw_affiliation_strings":["Department of Computer Science and Engineering, National Institute of Technology, Silchar, 788010, Assam, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Institute of Technology, Silchar, 788010, Assam, India","institution_ids":["https://openalex.org/I151903974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036733207"],"corresponding_institution_ids":["https://openalex.org/I151903974"],"apc_list":null,"apc_paid":null,"fwci":1.5156,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78063011,"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":"647","last_page":"658"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9836999773979187,"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/similarity","display_name":"Similarity (geometry)","score":0.7861547470092773},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6677344441413879},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6018056273460388},{"id":"https://openalex.org/keywords/connection","display_name":"Connection (principal bundle)","score":0.5668544173240662},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5531290769577026},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.5519237518310547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5223161578178406},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43720412254333496},{"id":"https://openalex.org/keywords/interpersonal-ties","display_name":"Interpersonal ties","score":0.4202340841293335},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3247205913066864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.286312073469162},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2183363437652588},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21719369292259216},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.15257450938224792}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7861547470092773},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6677344441413879},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6018056273460388},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.5668544173240662},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5531290769577026},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.5519237518310547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5223161578178406},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43720412254333496},{"id":"https://openalex.org/C142189719","wikidata":"https://www.wikidata.org/wiki/Q1276633","display_name":"Interpersonal ties","level":2,"score":0.4202340841293335},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3247205913066864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.286312073469162},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2183363437652588},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21719369292259216},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.15257450938224792},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-19-5868-7_47","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-19-5868-7_47","pdf_url":null,"source":{"id":"https://openalex.org/S4210179954","display_name":"Lecture notes in electrical engineering","issn_l":"1876-1100","issn":["1876-1100","1876-1119"],"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 Electrical Engineering","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W188608978","https://openalex.org/W791318738","https://openalex.org/W875509673","https://openalex.org/W1864134408","https://openalex.org/W1894416888","https://openalex.org/W1979104937","https://openalex.org/W2007444087","https://openalex.org/W2017405012","https://openalex.org/W2036992515","https://openalex.org/W2094674364","https://openalex.org/W2095072199","https://openalex.org/W2132202037","https://openalex.org/W2145845082","https://openalex.org/W2154454189","https://openalex.org/W2164928285","https://openalex.org/W2166692708","https://openalex.org/W2564084673","https://openalex.org/W2790658443","https://openalex.org/W2963455014","https://openalex.org/W3082457674","https://openalex.org/W3122868618","https://openalex.org/W3161357135","https://openalex.org/W3191279603","https://openalex.org/W4232932184"],"related_works":["https://openalex.org/W587735977","https://openalex.org/W1978142926","https://openalex.org/W2319693127","https://openalex.org/W2072263576","https://openalex.org/W2474567666","https://openalex.org/W2790658443","https://openalex.org/W1940044583","https://openalex.org/W2056226831","https://openalex.org/W2806903871","https://openalex.org/W4320802053"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-01-25T23:04:38.658462","created_date":"2025-10-10T00:00:00"}