NSDLib: A comprehensive python library for network source detection and evaluation

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2024-11-01 DOI:10.1016/j.softx.2024.101950

Damian Frąszczak, Edyta Frąszczak

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.

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NSDLib：用于网络源检测和评估的综合 python 库

NSDLib 是网络源检测库（Network Source Detection Library）的简称，是一个高级软件包，用于检测网络中的传播源。它易于集成，并提供一系列源检测算法，包括评估节点重要性、识别爆发和重建传播图。该库可作为一个综合资料库，促进全球研究人员和开发人员之间的合作，共同打击虚假信息战。通过实现和比较新技术，NSDLib 旨在加强对虚假信息的理解和缓解，并改进传播分析。本文概述了 NSDLib 的功能，强调了它在缩小理论研究与实际应用之间差距方面的作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

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.