{"title":"NSDLib: A comprehensive python library for network source detection and evaluation","authors":"Damian Frąszczak, Edyta Frąszczak","doi":"10.1016/j.softx.2024.101950","DOIUrl":null,"url":null,"abstract":"<div><div>NSDLib, short for Network Source Detection Library, is an advanced package designed to detect the sources of propagation in networks. It is easy to integrate and offers a range of algorithms for source detection, including evaluating node importance, identifying outbreaks, and reconstructing propagation graphs. This library serves as a comprehensive repository, promoting collaboration among researchers and developers worldwide to combat disinformation warfare. By enabling the implementation and comparison of new techniques, NSDLib aims to enhance the understanding and mitigation of misinformation and improve propagation analysis. This paper provides an overview of NSDLib's capabilities, emphasizing its role in bridging the gap between theoretical research and practical application.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"28 ","pages":"Article 101950"},"PeriodicalIF":2.4000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711024003200","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
NSDLib, short for Network Source Detection Library, is an advanced package designed to detect the sources of propagation in networks. It is easy to integrate and offers a range of algorithms for source detection, including evaluating node importance, identifying outbreaks, and reconstructing propagation graphs. This library serves as a comprehensive repository, promoting collaboration among researchers and developers worldwide to combat disinformation warfare. By enabling the implementation and comparison of new techniques, NSDLib aims to enhance the understanding and mitigation of misinformation and improve propagation analysis. This paper provides an overview of NSDLib's capabilities, emphasizing its role in bridging the gap between theoretical research and practical application.
期刊介绍：
SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.
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