{"id":"https://openalex.org/W2222895403","doi":null,"title":"Using derived social clusters in email to support high-throughput users in message management","display_name":"Using derived social clusters in email to support high-throughput users in message management","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2222895403","mag":"2222895403"},"language":"en","primary_location":{"id":"mag:2222895403","doi":null,"is_oa":false,"landing_page_url":"https://etda.libraries.psu.edu/catalog/9980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5083871571","display_name":"Mary Beth Rosson","orcid":"https://orcid.org/0000-0001-6101-3401","observed_orcids":["https://orcid.org/0000-0001-6101-3401"]},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mary Beth Rosson","raw_affiliation_strings":["The Pennsylvania State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017333035","display_name":"Joshua B. Gross","orcid":"https://orcid.org/0000-0002-7522-1049","observed_orcids":["https://orcid.org/0000-0002-7522-1049"]},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua B. Gross","raw_affiliation_strings":["The Pennsylvania State University"],"raw_orcid":"https://orcid.org/0000-0002-7522-1049","affiliations":[{"raw_affiliation_string":"The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"246","last_page":"246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12607","display_name":"Personal Information Management and User Behavior","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12607","display_name":"Personal Information Management and User Behavior","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.002300000051036477,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/email","display_name":"email","score":0.7139999866485596},{"id":"https://openalex.org/keywords/message-management","display_name":"message management","score":0.6589999794960022},{"id":"https://openalex.org/keywords/social-clusters","display_name":"social clusters","score":0.7919999957084656},{"id":"https://openalex.org/keywords/email-filtering","display_name":"email filtering","score":0.6790000200271606},{"id":"https://openalex.org/keywords/k-nearest-neighbor-clustering","display_name":"k-nearest neighbor clustering","score":0.8080000281333923},{"id":"https://openalex.org/keywords/email-search","display_name":"email search","score":0.6539999842643738},{"id":"https://openalex.org/keywords/information-overload","display_name":"information overload","score":0.5339999794960022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6597265601158142},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5916903018951416},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5122630000114441},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4728572368621826},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.44481298327445984},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3892413377761841},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.36478906869888306},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.363094687461853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18938490748405457}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2222895403","doi":null,"is_oa":false,"landing_page_url":"https://etda.libraries.psu.edu/catalog/9980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1531303411","https://openalex.org/W1660390307","https://openalex.org/W1717132315","https://openalex.org/W1748815599","https://openalex.org/W1965191725","https://openalex.org/W1969571418","https://openalex.org/W1981911857","https://openalex.org/W1987027080","https://openalex.org/W1991430546","https://openalex.org/W1992278495","https://openalex.org/W2002277714","https://openalex.org/W2018957714","https://openalex.org/W2028770149","https://openalex.org/W2035038010","https://openalex.org/W2036882650","https://openalex.org/W2038269916","https://openalex.org/W2039820415","https://openalex.org/W2043304263","https://openalex.org/W2053125307","https://openalex.org/W2053782355","https://openalex.org/W2064332540","https://openalex.org/W2067404458","https://openalex.org/W2076279155","https://openalex.org/W2108435065","https://openalex.org/W2112175905","https://openalex.org/W2114403142","https://openalex.org/W2115281393","https://openalex.org/W2117812870","https://openalex.org/W2137891816","https://openalex.org/W2156492599","https://openalex.org/W2161444396","https://openalex.org/W2165990684","https://openalex.org/W2184770564","https://openalex.org/W2296119762","https://openalex.org/W2307710359","https://openalex.org/W2486212178","https://openalex.org/W4235073904"],"related_works":["https://openalex.org/W46241088","https://openalex.org/W2472613598","https://openalex.org/W102066540","https://openalex.org/W2053412976","https://openalex.org/W1749589422","https://openalex.org/W7098618844","https://openalex.org/W7100640549","https://openalex.org/W2097782160","https://openalex.org/W1976605190","https://openalex.org/W2128549626"],"abstract_inverted_index":{"Email":[0],"is":[1,24,60,116],"a":[2,16,55,68,135,226,311,336],"story":[3],"of":[4,13,45,49,57,98,119,127,138,140,176,182,188,196,203,237,264,272,300,339,361,372],"both":[5,293],"phenomenal":[6],"success":[7,12,30],"and":[8,26,43,62,86,150,191,212,234,241,244,261,280,295,303,305,351,359],"frustrating":[9],"challenges.":[10],"The":[11,47,75,143,162,180],"email":[14,23,59,73,89,109,269,323],"as":[15,103],"professional":[17],"communication":[18],"tool":[19,69,76],"clearly":[20],"indicates":[21],"that":[22,64,70,206,215,229,254,283],"powerful":[25],"adaptable,":[27],"but":[28],"the":[29,34,41,167,174,177,186,235,251,265,278,373],"has":[31],"led":[32],"to":[33,38,53,66,79,91,133,153,171,249,276,309,347],"need":[35],"for":[36],"strategies":[37],"cope":[39],"with":[40,100,169,260,342],"quantity":[42],"importance":[44],"email.":[46,327,343],"goal":[48],"this":[50,207],"research":[51,209],"was":[52,210,223],"develop":[54,67],"theory":[56],"how":[58,321],"used,":[61],"from":[63,173,231,292,318,355],"goal,":[65],"will":[71],"improve":[72],"interactions.":[74],"allows":[77],"users":[78,324,332,368],"triage":[80],"new":[81],"mail,":[82,85],"search":[83],"existing":[84,129,301],"categorize":[87],"their":[88,155],"according":[90],"social":[92,178,183,189,200],"clusters.":[93],"These":[94],"clusters":[95,139,149],"are":[96,216],"groups":[97],"senders/recipients":[99],"some":[101],"association,":[102],"determined":[104],"through":[105],"collocation":[106],"on":[107,199,320,330],"multiple":[108,160],"messages.\r\nThe":[110],"tool,":[111],"SCuF":[112],"(Social":[113],"Cluster":[114],"Filtering),":[115],"an":[117,125,128,194,370],"extension":[118,126],"Microsoft":[120],"Outlook":[121],"2003.":[122],"It":[123],"uses":[124],"algorithm":[130],"(k-nearest-neighbor":[131],"clustering)":[132],"derive":[134],"user-defined":[136],"number":[137],"associated":[141],"emailers.":[142],"user":[144,168],"can":[145],"then":[146,352],"edit":[147],"these":[148,287,307,349,362],"use":[151,256,285,326],"them":[152],"filter":[154],"inbox,":[156],"another":[157],"folder,":[158],"or":[159,172],"folders.":[161],"filtered":[163],"view":[164],"only":[165],"presents":[166],"messages":[170],"members":[175],"cluster.":[179],"concept":[181],"clustering":[184],"extends":[185],"idea":[187],"networks,":[190],"I":[192,297,328,344,365],"present":[193,335,353],"analysis":[195,202,290],"extant":[197],"work":[198,222],"network":[201],"email,":[204],"showing":[205],"dissertation":[208],"novel":[211],"addressed":[213,218],"problems":[214],"not":[217],"by":[219],"prior":[220],"research.\r\nThis":[221],"rooted":[224],"in":[225,286,369],"theoretical":[227],"foundation":[228],"draws":[230],"cognitive":[232,243,252],"psychology":[233,294],"semiotics":[236],"information.":[238],"Cognitive":[239],"psychology,":[240],"particularly":[242],"process":[245],"models,":[246],"allowed":[247,274],"me":[248,275],"explore":[250,277],"mechanisms":[253,282],"people":[255,284],"when":[257],"they":[258,334],"interact":[259],"make":[262],"sense":[263],"information":[266,273],"contained":[267],"within":[268],"messages.":[270],"Semiotics":[271],"visual":[279],"conceptual":[281],"processes.":[288],"Using":[289],"techniques":[291],"semiotics,":[296],"created":[298],"models":[299,308,316],"behavior":[302],"mechanisms,":[304],"extend":[306],"create":[310],"theoretically":[312],"valid":[313],"extension.":[314],"\r\nThe":[315],"originated":[317],"fieldwork":[319],"high-throughput":[322,331,367],"actually":[325],"focused":[329],"because":[333],"special":[337],"case":[338],"intensive":[340],"interaction":[341],"provide":[345],"data":[346,354],"define":[348],"users,":[350],"several":[356],"in-depth":[357],"interviews":[358],"observations":[360],"users.":[363],"Finally,":[364],"used":[366],"evaluation":[371],"tool.":[374]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
