{"id":"https://openalex.org/W1994109752","doi":"https://doi.org/10.1145/2309996.2310018","title":"Graph and matrix metrics to analyze ergodic literature for children","display_name":"Graph and matrix metrics to analyze ergodic literature for children","publication_year":2012,"publication_date":"2012-06-25","ids":{"openalex":"https://openalex.org/W1994109752","doi":"https://doi.org/10.1145/2309996.2310018","mag":"1994109752"},"language":"en","primary_location":{"id":"doi:10.1145/2309996.2310018","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2309996.2310018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM conference on Hypertext and social media","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/A5033478628","display_name":"Eugenia-Maria Kontopoulou","orcid":"https://orcid.org/0000-0001-6121-1416"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Eugenia-Maria Kontopoulou","raw_affiliation_strings":["University of Patras, Rio, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Patras, Rio, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007916502","display_name":"Maria Predari","orcid":"https://orcid.org/0000-0002-9545-0623"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Maria Predari","raw_affiliation_strings":["University of Patras, Rio, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Patras, Rio, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016051119","display_name":"Thymios Kostakis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thymios Kostakis","raw_affiliation_strings":["SEOKO, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SEOKO, Athens, Greece","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061247746","display_name":"Efstratios Gallopoulos","orcid":"https://orcid.org/0000-0002-1506-9727"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Efstratios Gallopoulos","raw_affiliation_strings":["CEID, University of Patras, Greece","CEID, University of Patras, Greece#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEID, University of Patras, Greece","institution_ids":["https://openalex.org/I174878644"]},{"raw_affiliation_string":"CEID, University of Patras, Greece#TAB#","institution_ids":["https://openalex.org/I174878644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"133","last_page":"142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9865999817848206,"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":0.9865999817848206,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9764999747276306,"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"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9675999879837036,"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/pagerank","display_name":"PageRank","score":0.8570501208305359},{"id":"https://openalex.org/keywords/digraph","display_name":"Digraph","score":0.839467465877533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6797243356704712},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.6747140884399414},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5684314966201782},{"id":"https://openalex.org/keywords/directed-graph","display_name":"Directed graph","score":0.547176718711853},{"id":"https://openalex.org/keywords/ergodic-theory","display_name":"Ergodic theory","score":0.5450024008750916},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5328871011734009},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5095174908638},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.421913743019104},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3461053967475891},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32436561584472656},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2924618721008301},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2521340250968933},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.2192661464214325}],"concepts":[{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.8570501208305359},{"id":"https://openalex.org/C2779145032","wikidata":"https://www.wikidata.org/wiki/Q191494","display_name":"Digraph","level":2,"score":0.839467465877533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6797243356704712},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.6747140884399414},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5684314966201782},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.547176718711853},{"id":"https://openalex.org/C122044880","wikidata":"https://www.wikidata.org/wiki/Q5498822","display_name":"Ergodic theory","level":2,"score":0.5450024008750916},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5328871011734009},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5095174908638},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.421913743019104},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3461053967475891},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32436561584472656},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2924618721008301},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2521340250968933},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2192661464214325},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2309996.2310018","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2309996.2310018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM conference on Hypertext and social media","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W20219663","https://openalex.org/W131053137","https://openalex.org/W1487444668","https://openalex.org/W1498546528","https://openalex.org/W1564237561","https://openalex.org/W1608412409","https://openalex.org/W1893966986","https://openalex.org/W1971708293","https://openalex.org/W1978422305","https://openalex.org/W2006060642","https://openalex.org/W2009589331","https://openalex.org/W2026417691","https://openalex.org/W2053957335","https://openalex.org/W2066636486","https://openalex.org/W2084224084","https://openalex.org/W2108333603","https://openalex.org/W2112140746","https://openalex.org/W2118382442","https://openalex.org/W2138621811","https://openalex.org/W2141978793","https://openalex.org/W2175110005","https://openalex.org/W2191333630","https://openalex.org/W2293651818","https://openalex.org/W2411876083","https://openalex.org/W2914238188","https://openalex.org/W3037400782","https://openalex.org/W3179696497","https://openalex.org/W4233316080","https://openalex.org/W4319587644","https://openalex.org/W6605357910"],"related_works":["https://openalex.org/W2917098119","https://openalex.org/W165551054","https://openalex.org/W2354198990","https://openalex.org/W31221764","https://openalex.org/W3009034243","https://openalex.org/W2044392495","https://openalex.org/W3184283142","https://openalex.org/W2963289340","https://openalex.org/W1986517672","https://openalex.org/W4255598955"],"abstract_inverted_index":{"What":[0],"can":[1,123,164],"graph":[2,63,160],"and":[3,20,64,71,89,92,101,107,127,159],"matrix":[4,24,130,158],"based":[5,66,79],"mathematical":[6],"models":[7],"tell":[8],"us":[9],"about":[10],"ergodic":[11,172],"literature?":[12],"A":[13,75],"digraph":[14],"of":[15,34,52,55,62,103,120,134,171],"storylets":[16,70],"connected":[17],"by":[18,180,185],"links":[19],"the":[21,41,50,53,60,135,147,187],"corresponding":[22],"adjacency":[23],"encoding":[25],"is":[26,38,115,138],"used":[27],"to":[28,111,178],"formulate":[29],"some":[30,72,142],"queries":[31],"regarding":[32,152],"hypertexts":[33],"this":[35,169],"type.":[36],"It":[37,114],"reasoned":[39],"that":[40,117,146,174],"Google":[42],"random":[43],"surfer":[44],"provides":[45],"a":[46],"useful":[47,150,166],"model":[48],"for":[49,68],"behavior":[51],"reader":[54],"such":[56],"fiction.":[57],"This":[58],"motivates":[59],"use":[61],"Web":[65],"metrics":[67],"ranking":[69,136],"other":[73],"tasks.":[74],"dataset,":[76],"termed":[77],"childif,":[78],"on":[80,109,141],"printed":[81],"books":[82],"from":[83,168],"three":[84],"series":[85],"popular":[86],"with":[87,129],"children":[88],"young":[90],"adults":[91],"its":[93],"characteristics":[94,119],"are":[95,105],"described.":[96],"Two":[97],"link-based":[98],"metrics,":[99],"SMrank":[100],"versions":[102],"PageRank,":[104],"described":[106],"applied":[108],"childif":[110],"rank":[112],"storylets.":[113],"shown":[116],"several":[118],"these":[121],"stories":[122],"be":[124,176],"expressed":[125],"as":[126],"computed":[128],"operations.":[131],"An":[132],"interpretation":[133],"results":[137],"provided.":[139],"Results":[140],"acyclic":[143],"digraphs":[144],"indicate":[145],"rankings":[148],"convey":[149],"information":[151,167],"plot":[153],"development.":[154],"In":[155],"conclusion,":[156],"using":[157],"theoretic":[161],"techniques":[162],"one":[163],"extract":[165],"type":[170],"literature":[173],"would":[175],"harder":[177],"obtain":[179],"simply":[181],"reading":[182],"it":[183],"or":[184],"examining":[186],"underlying":[188],"digraph.":[189]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
