{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T01:30:49Z","timestamp":1743125449222,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030590505"},{"type":"electronic","value":"9783030590512"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-59051-2_25","type":"book-chapter","created":{"date-parts":[[2020,9,12]],"date-time":"2020-09-12T19:02:51Z","timestamp":1599937371000},"page":"366-381","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["SCODIS: Job Advert-Derived Time Series for High-Demand Skillset Discovery and Prediction"],"prefix":"10.1007","author":[{"given":"Elisa Margareth","family":"Sibarani","sequence":"first","affiliation":[]},{"given":"Simon","family":"Scerri","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,2,8]]},"reference":[{"key":"25_CR1","first-page":"203","volume":"11","author":"D Smith","year":"2014","unstructured":"Smith, D., Ali, A.: Analyzing computer programming job trend using web data mining. Issues Inf. Sci. Inf. Technol. 11, 203\u2013214 (2014)","journal-title":"Issues Inf. Sci. Inf. Technol."},{"key":"25_CR2","doi-asserted-by":"publisher","first-page":"1315","DOI":"10.1057\/jors.2009.80","volume":"61","author":"MS Sodhi","year":"2010","unstructured":"Sodhi, M.S., Son, B.-G.: Content analysis of OR job advertisements to infer required skills. J. Oper. Res. Soc. 61, 1315\u20131327 (2010)","journal-title":"J. Oper. Res. Soc."},{"key":"25_CR3","doi-asserted-by":"publisher","first-page":"1206","DOI":"10.1002\/(SICI)1097-4571(1998)49:13<1206::AID-ASI7>3.0.CO;2-F","volume":"49","author":"N Coulter","year":"1998","unstructured":"Coulter, N., Monarch, I., Konda, S.: Software engineering as seen through its research literature: a study in co-word analysis. J. Am. Soc. Inf. Sci. 49, 1206\u20131223 (1998)","journal-title":"J. Am. Soc. Inf. Sci."},{"key":"25_CR4","doi-asserted-by":"publisher","first-page":"P10008","DOI":"10.1088\/1742-5468\/2008\/10\/P10008","volume":"2008","author":"V Blondel","year":"2008","unstructured":"Blondel, V., Guillaume, J.-L., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. J. Stat. Mech: Theory Exp. 2008, P10008 (2008)","journal-title":"J. Stat. Mech: Theory Exp."},{"doi-asserted-by":"crossref","unstructured":"Sibarani, E.M., Scerri, S., Morales, C., Auer, S., Collarana, D.: Ontology-guided job market demand analysis: a cross-sectional study for the data science field. In: SEMANTiCS, pp. 25\u201332 (2017)","key":"25_CR5","DOI":"10.1145\/3132218.3132228"},{"key":"25_CR6","doi-asserted-by":"publisher","first-page":"026113","DOI":"10.1103\/PhysRevE.69.026113","volume":"69","author":"MEJ Newman","year":"2004","unstructured":"Newman, M.E.J., Girvan, M.: Finding and evaluating community structure in networks. Phys. Rev. E 69, 026113 (2004)","journal-title":"Phys. Rev. E"},{"doi-asserted-by":"crossref","unstructured":"Xu, X., Yuruk, N., Feng, Z., Schweiger, T.A.J.: SCAN: a structural clustering algorithm for networks. In: KDD, pp. 824\u2013833 (2007)","key":"25_CR7","DOI":"10.1145\/1281192.1281280"},{"issue":"1","key":"25_CR8","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1007\/BF02019280","volume":"22","author":"M Callon","year":"1991","unstructured":"Callon, M., Courtial, J.P., Laville, F.: Co-word analysis as a tool for describing the network of interactions between basic and technological research: the case of polymer chemistry. Scientometrics 22(1), 155\u2013205 (1991)","journal-title":"Scientometrics"},{"doi-asserted-by":"crossref","unstructured":"Lee, P., Lakshmanan, L.V.S., Milios, E.E.: Incremental cluster evolution tracking from highly dynamic network data. In: ICDE, pp. 3\u201314 (2014)","key":"25_CR9","DOI":"10.1109\/ICDE.2014.6816635"},{"issue":"suppl 1","key":"25_CR10","doi-asserted-by":"publisher","first-page":"5249","DOI":"10.1073\/pnas.0307750100","volume":"101","author":"J Hopcroft","year":"2004","unstructured":"Hopcroft, J., Khan, O., Kulis, B., Selman, B.: Tracking evolving communities in large linked networks. Proc. Nat. Acad. Sci. 101(suppl 1), 5249\u20135253 (2004)","journal-title":"Proc. Nat. Acad. Sci."},{"key":"25_CR11","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.websem.2017.12.004","volume":"49","author":"A-S Dadzie","year":"2018","unstructured":"Dadzie, A.-S., Sibarani, E., Novalija, I., Scerri, S.: Structuring visual exploratory analysis of skill demand. Web Semant. 49, 51\u201370 (2018)","journal-title":"Web Semant."},{"doi-asserted-by":"crossref","unstructured":"Fortunato, S., Lancichinetti, A.: Community detection algorithms: a comparative analysis. In: The Fourth International ICST Conference on Performance Evaluation Methodologies and Tools, pp. 27:1\u201327:2 (2009)","key":"25_CR12","DOI":"10.4108\/ICST.VALUETOOLS2009.8046"},{"key":"25_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1007\/978-3-030-34223-4_28","volume-title":"Web Information Systems Engineering \u2013 WISE 2019","author":"EM Sibarani","year":"2019","unstructured":"Sibarani, E.M., Scerri, S.: Generating an evolving skills network from job adverts for high-demand skillset discovery. In: Cheng, R., Mamoulis, N., Sun, Y., Huang, X. (eds.) WISE 2020. LNCS, vol. 11881, pp. 441\u2013457. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-34223-4_28"},{"issue":"1","key":"25_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2307\/249709","volume":"19","author":"PA Todd","year":"1995","unstructured":"Todd, P.A., McKeen, J.D., Gallupe, R.B.: The evolution of IS job skills: a content analysis of IS job advertisements from 1970 to 1990. MIS Q. 19(1), 1\u201327 (1995)","journal-title":"MIS Q."},{"key":"25_CR15","doi-asserted-by":"publisher","first-page":"31","DOI":"10.3390\/informatics2040031","volume":"2","author":"IA Wowczko","year":"2015","unstructured":"Wowczko, I.A.: Skills and vacancy analysis with data mining techniques. Informatics 2, 31\u201349 (2015)","journal-title":"Informatics"},{"issue":"1","key":"25_CR16","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1109\/MS.2009.150","volume":"27","author":"A Aken","year":"2010","unstructured":"Aken, A., Litecky, C., Ahmad, A., Nelson, J.: Mining for computing jobs. IEEE Softw. 27(1), 78\u201385 (2010)","journal-title":"IEEE Softw."},{"issue":"1","key":"25_CR17","first-page":"101","volume":"4","author":"S Surakka","year":"2005","unstructured":"Surakka, S.: Analysis of technical skills in job advertisements targeted at software developers. Inform. Educ. 4(1), 101\u2013122 (2005)","journal-title":"Inform. Educ."},{"issue":"2","key":"25_CR18","first-page":"169","volume":"15","author":"MA Kennan","year":"2009","unstructured":"Kennan, M.A., Willard, P., Cecez-Kecmanovic, D., Wilson, C.S.: A content analysis of Australian IS early career job advertisements. Austr. J. Inf. Syst. 15(2), 169\u2013190 (2009)","journal-title":"Austr. J. Inf. Syst."},{"doi-asserted-by":"crossref","unstructured":"Asur, S., Parthasarathy, S., Ucar, D.: An event-based framework for characterizing the evolutionary behavior of interaction graphs. In: KDD, pp. 913\u2013921 (2007)","key":"25_CR19","DOI":"10.1145\/1281192.1281290"},{"doi-asserted-by":"crossref","unstructured":"Kim, M.-S., Han, J.: A particle-and-density based evolutionary clustering method for dynamic networks. In: VLDB, pp. 622\u2013633, August 2009","key":"25_CR20","DOI":"10.14778\/1687627.1687698"}],"container-title":["Lecture Notes in Computer Science","Database and Expert Systems Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-59051-2_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T11:39:59Z","timestamp":1709811599000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-59051-2_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030590505","9783030590512"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-59051-2_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"8 February 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DEXA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database and Expert Systems Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bratislava","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Slovakia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dexa2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.dexa.org\/dexa2020","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"190","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"38","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"20","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"20% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4-6","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3-4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Due to the COVID-19 pandemic the conference was held online. DEXA Workshops volume: submissions sent - 15, full papers accepted - 6, short papers accepted - 4, reviewers per paper 3, papers per reviewer 1-2","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}