Conference Paper/Proceeding/Abstract 22183 views 65 downloads
Selecting Informative Features for Post-hoc Community Explanation
Complex Networks & Their Applications X, Pages: 297 - 308
Swansea University Authors: Sophie Sadler, Daniel Archambault
-
PDF | Accepted Manuscript
Download (736.68KB)
DOI (Published version): 10.1007/978-3-030-93409-5_25
Abstract
Selecting Informative Features for Post-hoc Community Explanation
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 & 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 |
11.035874 |