No Cover Image

Conference Paper/Proceeding/Abstract 22094 views 47 downloads

Selecting Informative Features for Post-hoc Community Explanation

Sophie Sadler, Derek Greene, Daniel Archambault Orcid Logo

Complex Networks & Their Applications X, Pages: 297 - 308

Swansea University Authors: Sophie Sadler, Daniel Archambault Orcid Logo

Check full text

DOI (Published version): 10.1007/978-3-030-93409-5_25

Published in: Complex Networks & Their Applications X
ISBN: 9783030934088 9783030934095
ISSN: 1860-949X 1860-9503
Published: Cham Springer International Publishing 2022
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa58268
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2021-10-08T10:42:39Z
last_indexed 2022-01-12T04:27:39Z
id cronfa58268
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2022-01-11T12:18:14.5117179</datestamp><bib-version>v2</bib-version><id>58268</id><entry>2021-10-08</entry><title>Selecting Informative Features for Post-hoc Community Explanation</title><swanseaauthors><author><sid>780d416ff624ef8e4541830674bfac0e</sid><firstname>Sophie</firstname><surname>Sadler</surname><name>Sophie Sadler</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>8fa6987716a22304ef04d3c3d50ef266</sid><ORCID>0000-0003-4978-8479</ORCID><firstname>Daniel</firstname><surname>Archambault</surname><name>Daniel Archambault</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2021-10-08</date><deptcode>SMA</deptcode><abstract/><type>Conference Paper/Proceeding/Abstract</type><journal>Complex Networks &amp; Their Applications X</journal><volume/><journalNumber/><paginationStart>297</paginationStart><paginationEnd>308</paginationEnd><publisher>Springer International Publishing</publisher><placeOfPublication>Cham</placeOfPublication><isbnPrint>9783030934088</isbnPrint><isbnElectronic>9783030934095</isbnElectronic><issnPrint>1860-949X</issnPrint><issnElectronic>1860-9503</issnElectronic><keywords>Network analysis; Explainability; Community detection</keywords><publishedDay>1</publishedDay><publishedMonth>1</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-01-01</publishedDate><doi>10.1007/978-3-030-93409-5_25</doi><url/><notes/><college>COLLEGE NANME</college><department>Mathematics</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SMA</DepartmentCode><institution>Swansea University</institution><apcterm/><funders>This work is supported by the UKRI AIMLAC CDT, funded by grant EP/S023992/1 and by Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289_P2.</funders><lastEdited>2022-01-11T12:18:14.5117179</lastEdited><Created>2021-10-08T11:38:02.7202794</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Sophie</firstname><surname>Sadler</surname><order>1</order></author><author><firstname>Derek</firstname><surname>Greene</surname><order>2</order></author><author><firstname>Daniel</firstname><surname>Archambault</surname><orcid>0000-0003-4978-8479</orcid><order>3</order></author></authors><documents><document><filename>58268__21117__be4cecc0a2514ea18cfe025a2a915769.pdf</filename><originalFilename>ComplexNetworks.pdf</originalFilename><uploaded>2021-10-08T11:41:45.3217055</uploaded><type>Output</type><contentLength>754365</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2023-01-01T00:00:00.0000000</embargoDate><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 2022-01-11T12:18:14.5117179 v2 58268 2021-10-08 Selecting Informative Features for Post-hoc Community Explanation 780d416ff624ef8e4541830674bfac0e Sophie Sadler Sophie Sadler true false 8fa6987716a22304ef04d3c3d50ef266 0000-0003-4978-8479 Daniel Archambault Daniel Archambault true false 2021-10-08 SMA Conference Paper/Proceeding/Abstract Complex Networks & Their Applications X 297 308 Springer International Publishing Cham 9783030934088 9783030934095 1860-949X 1860-9503 Network analysis; Explainability; Community detection 1 1 2022 2022-01-01 10.1007/978-3-030-93409-5_25 COLLEGE NANME Mathematics COLLEGE CODE SMA Swansea University This work is supported by the UKRI AIMLAC CDT, funded by grant EP/S023992/1 and by Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289_P2. 2022-01-11T12:18:14.5117179 2021-10-08T11:38:02.7202794 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Sophie Sadler 1 Derek Greene 2 Daniel Archambault 0000-0003-4978-8479 3 58268__21117__be4cecc0a2514ea18cfe025a2a915769.pdf ComplexNetworks.pdf 2021-10-08T11:41:45.3217055 Output 754365 application/pdf Accepted Manuscript true 2023-01-01T00:00:00.0000000 true eng
title Selecting Informative Features for Post-hoc Community Explanation
spellingShingle Selecting Informative Features for Post-hoc Community Explanation
Sophie Sadler
Daniel Archambault
title_short Selecting Informative Features for Post-hoc Community Explanation
title_full Selecting Informative Features for Post-hoc Community Explanation
title_fullStr Selecting Informative Features for Post-hoc Community Explanation
title_full_unstemmed Selecting Informative Features for Post-hoc Community Explanation
title_sort Selecting Informative Features for Post-hoc Community Explanation
author_id_str_mv 780d416ff624ef8e4541830674bfac0e
8fa6987716a22304ef04d3c3d50ef266
author_id_fullname_str_mv 780d416ff624ef8e4541830674bfac0e_***_Sophie Sadler
8fa6987716a22304ef04d3c3d50ef266_***_Daniel Archambault
author Sophie Sadler
Daniel Archambault
author2 Sophie Sadler
Derek Greene
Daniel Archambault
format Conference Paper/Proceeding/Abstract
container_title Complex Networks & Their Applications X
container_start_page 297
publishDate 2022
institution Swansea University
isbn 9783030934088
9783030934095
issn 1860-949X
1860-9503
doi_str_mv 10.1007/978-3-030-93409-5_25
publisher Springer International Publishing
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
published_date 2022-01-01T04:14:40Z
_version_ 1763753989464129536
score 11.014291

Similar Items