{"id":"https://openalex.org/W2291424767","doi":"https://doi.org/10.1145/2808797.2809333","title":"Weibo, and a Tale of Two Worlds","display_name":"Weibo, and a Tale of Two Worlds","publication_year":2015,"publication_date":"2015-08-25","ids":{"openalex":"https://openalex.org/W2291424767","doi":"https://doi.org/10.1145/2808797.2809333","mag":"2291424767"},"language":"en","primary_location":{"id":"doi:10.1145/2808797.2809333","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2808797.2809333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101986620","display_name":"Wentao Han","orcid":"https://orcid.org/0000-0002-5662-8329"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wentao Han","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101574083","display_name":"Xiaowei Zhu","orcid":"https://orcid.org/0000-0003-3880-308X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowei Zhu","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017616311","display_name":"Ziyan Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyan Zhu","raw_affiliation_strings":["International School, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International School, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103141832","display_name":"Wenguang Chen","orcid":"https://orcid.org/0000-0002-4281-1018"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenguang Chen","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108050911","display_name":"Weimin Zheng","orcid":"https://orcid.org/0000-0002-4450-5428"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weimin Zheng","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102797606","display_name":"Jianguo L\u00fc","orcid":"https://orcid.org/0000-0003-1042-8847"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jianguo Lu","raw_affiliation_strings":["School of Computer Science, University of Windsor, Windsor, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Windsor, Windsor, Canada","institution_ids":["https://openalex.org/I74413500"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"121","last_page":"128"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11478","display_name":"Caching and Content Delivery","score":0.9932000041007996,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9908999800682068,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/assortativity","display_name":"Assortativity","score":0.9304158091545105},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.8054264783859253},{"id":"https://openalex.org/keywords/reciprocity","display_name":"Reciprocity (cultural anthropology)","score":0.7396572232246399},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6825540661811829},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.6744658350944519},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.6671597361564636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6565920114517212},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5001394748687744},{"id":"https://openalex.org/keywords/gini-coefficient","display_name":"Gini coefficient","score":0.42976799607276917},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4189963638782501},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3412861227989197},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.28914326429367065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18755578994750977},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18277353048324585},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15795627236366272},{"id":"https://openalex.org/keywords/inequality","display_name":"Inequality","score":0.08983129262924194},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.08469384908676147}],"concepts":[{"id":"https://openalex.org/C89694873","wikidata":"https://www.wikidata.org/wiki/Q4810299","display_name":"Assortativity","level":3,"score":0.9304158091545105},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.8054264783859253},{"id":"https://openalex.org/C169903001","wikidata":"https://www.wikidata.org/wiki/Q3264987","display_name":"Reciprocity (cultural anthropology)","level":2,"score":0.7396572232246399},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6825540661811829},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.6744658350944519},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.6671597361564636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6565920114517212},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5001394748687744},{"id":"https://openalex.org/C2779206190","wikidata":"https://www.wikidata.org/wiki/Q162455","display_name":"Gini coefficient","level":4,"score":0.42976799607276917},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4189963638782501},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3412861227989197},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.28914326429367065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18755578994750977},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18277353048324585},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15795627236366272},{"id":"https://openalex.org/C45555294","wikidata":"https://www.wikidata.org/wiki/Q28113351","display_name":"Inequality","level":2,"score":0.08983129262924194},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.08469384908676147},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C513380476","wikidata":"https://www.wikidata.org/wiki/Q5055020","display_name":"Economic inequality","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2808797.2809333","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2808797.2809333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1500383076","https://openalex.org/W1854214752","https://openalex.org/W1875112053","https://openalex.org/W1893161742","https://openalex.org/W1964833991","https://openalex.org/W1994356260","https://openalex.org/W1996221647","https://openalex.org/W2000042664","https://openalex.org/W2000159446","https://openalex.org/W2031920071","https://openalex.org/W2047443612","https://openalex.org/W2053241453","https://openalex.org/W2069646232","https://openalex.org/W2075357766","https://openalex.org/W2079631204","https://openalex.org/W2079656678","https://openalex.org/W2084862036","https://openalex.org/W2087189381","https://openalex.org/W2101196063","https://openalex.org/W2115022330","https://openalex.org/W2153204928","https://openalex.org/W2157579446","https://openalex.org/W2159193292","https://openalex.org/W2160943512","https://openalex.org/W2179467377","https://openalex.org/W2250844151","https://openalex.org/W2270949707","https://openalex.org/W2435251607","https://openalex.org/W2537388533","https://openalex.org/W2991686491","https://openalex.org/W3103362336","https://openalex.org/W4238452917","https://openalex.org/W4285719527","https://openalex.org/W6629621823","https://openalex.org/W6639055396","https://openalex.org/W6670271065","https://openalex.org/W6671978114"],"related_works":["https://openalex.org/W2035423614","https://openalex.org/W2166520338","https://openalex.org/W2507391891","https://openalex.org/W2159201770","https://openalex.org/W2951928338","https://openalex.org/W2370730398","https://openalex.org/W2389897766","https://openalex.org/W2888222179","https://openalex.org/W2351043639","https://openalex.org/W3135024503"],"abstract_inverted_index":{"Weibo":[0,20,71,101,119,128],"is":[1,96,102,148],"the":[2,37,57,91,98,108,111,135,155],"Twitter":[3,48,112],"counterpart":[4],"in":[5,32,141,153],"China":[6],"that":[7,23,70,97,118],"has":[8],"attracted":[9],"hundreds":[10],"of":[11,13,40,90,100,107,110,157],"millions":[12],"users.":[14],"We":[15,68,115],"crawled":[16],"an":[17],"almost":[18],"complete":[19],"user":[21,49,113],"network":[22,129],"contains":[24],"222":[25],"million":[26],"users":[27,72],"and":[28,43,65,85,127,139],"27":[29],"billion":[30],"links":[31],"2013.":[33],"This":[34],"paper":[35],"analyzes":[36],"structural":[38],"properties":[39,53],"this":[41],"network,":[42],"compares":[44],"it":[45],"with":[46,123],"a":[47,74,82,105],"network.":[50,114],"The":[51],"topological":[52],"we":[54],"studied":[55],"include":[56],"degree":[58,66],"distributions,":[59],"reciprocity,":[60],"clustering":[61,86],"coefficient,":[62],"PageRank":[63],"centrality,":[64],"assortativity.":[67],"find":[69],"have":[73],"higher":[75,78],"diversity":[76],"index,":[77,80],"Gini":[79],"but":[81],"lower":[83],"reciprocity":[84,99,109],"coefficient":[87],"for":[88],"most":[89],"nodes.":[92],"A":[93],"surprising":[94],"observation":[95],"only":[103],"about":[104],"quarter":[106],"also":[116],"show":[117],"adoption":[120],"rate":[121],"correlates":[122],"economic":[124],"development":[125],"positively,":[126],"can":[130],"be":[131,151],"used":[132],"to":[133,150],"quantify":[134],"connections":[136],"between":[137],"provinces":[138],"regions":[140],"China.":[142],"In":[143],"particular,":[144],"point-wise":[145],"mutual":[146],"information":[147],"shown":[149],"accurate":[152],"quantifying":[154],"strength":[156],"connections.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
