Essec\Faculty\Model\Contribution {#2216 ▼
#_index: "academ_contributions"
#_id: "12662"
#_source: array:26 [
"id" => "12662"
"slug" => "12662-outlier-detection-in-networks-with-missing-links"
"yearMonth" => "2021-12"
"year" => "2021"
"title" => "Outlier detection in networks with missing links"
"description" => "GAUCHER, S., KLOPP, O. et ROBIN, G. (2021). Outlier detection in networks with missing links. <i>Computational Statistics and Data Analysis</i>, 164, pp. 107308. 
GAUCHER, S., KLOPP, O. et ROBIN, G. (2021). Outlier detection in networks with missing links. <i>Com "
"authors" => array:3 [
0 => array:3 [
"name" => "KLOPP Olga"
"bid" => "B00732676"
"slug" => "klopp-olga"
]
1 => array:1 [
"name" => "GAUCHER Solenne"
]
2 => array:1 [
"name" => "ROBIN Geneviève"
]
]
"ouvrage" => ""
"keywords" => array:4 [
0 => "Outlier detection"
1 => "Robust network estimation"
2 => "Missing observations"
3 => "Link prediction"
]
"updatedAt" => "2023-01-27 01:00:40"
"publicationUrl" => "https://www.sciencedirect.com/science/article/pii/S0167947321001420?via%3Dihub"
"publicationInfo" => array:3 [
"pages" => "107308"
"volume" => "164"
"number" => ""
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Outliers arise in networks due to different reasons such as fraudulent behaviour of malicious users or default in measurement instruments and can significantly impair network analyses. In addition, real-life networks are likely to be incompletely observed, with missing links due to individual non-response or machine failures. Therefore, identifying outliers in the presence of missing links is a crucial problem in network analysis. A new algorithm is introduced to detect outliers in a network and simultaneously predict the missing links. The proposed method is statistically sound: under fairly general assumptions, this algorithm exactly detects the outliers, and achieves the best known error for the prediction of missing links with polynomial computational cost. Outliers arise in networks due to different reasons such as fraudulent behaviour of malicious users "
"en" => "Outliers arise in networks due to different reasons such as fraudulent behaviour of malicious users or default in measurement instruments and can significantly impair network analyses. In addition, real-life networks are likely to be incompletely observed, with missing links due to individual non-response or machine failures. Therefore, identifying outliers in the presence of missing links is a crucial problem in network analysis. A new algorithm is introduced to detect outliers in a network and simultaneously predict the missing links. The proposed method is statistically sound: under fairly general assumptions, this algorithm exactly detects the outliers, and achieves the best known error for the prediction of missing links with polynomial computational cost. Outliers arise in networks due to different reasons such as fraudulent behaviour of malicious users "
]
"authors_fields" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"indexedAt" => "2025-04-12T03:21:41.000Z"
"docTitle" => "Outlier detection in networks with missing links"
"docSurtitle" => "Journal articles"
"authorNames" => "<a href="/cv/klopp-olga">KLOPP Olga</a>, GAUCHER Solenne, ROBIN Geneviève"
"docDescription" => "<span class="document-property-authors">KLOPP Olga, GAUCHER Solenne, ROBIN Geneviève</span><br><span class="document-property-authors_fields">Information Systems, Decision Sciences and Statistics</span> | <span class="document-property-year">2021</span> <span class="document-property-authors">KLOPP Olga, GAUCHER Solenne, ROBIN Geneviève</span><br><span "
"keywordList" => "<a href="#">Outlier detection</a>, <a href="#">Robust network estimation</a>, <a href="#">Missing observations</a>, <a href="#">Link prediction</a> <a href="#">Outlier detection</a>, <a href="#">Robust network estimation</a>, <a href="#">Missing ob "
"docPreview" => "<b>Outlier detection in networks with missing links</b><br><span>2021-12 | Journal articles </span>"
"docType" => "research"
"publicationLink" => "<a href="https://www.sciencedirect.com/science/article/pii/S0167947321001420?via%3Dihub" target="_blank">Outlier detection in networks with missing links</a> <a href="https://www.sciencedirect.com/science/article/pii/S0167947321001420?via%3Dihub" target="_bl "
]
+lang: "en"
+"_type": "_doc"
+"_score": 8.394864
+"parent": null
}
