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HyperNetX (HNX) is an open source Python library for the analysis and visualization of complex network data modeled as hypergraphs. Initially released in 2019, HNX facilitates exploratory data analysis of complex networks using algebraic…

This text is based on a translation of a chapter in a handbook about network analysis (published in German) where we tried to make beginners familiar with some basic notions and recent developments of network analysis applied to…

数字图书馆 · 计算机科学 2012-12-21 Frank Havemann , Andrea Scharnhorst

Web services represent a system with a huge number of units and many various and complex interactions. Complex networks as a tool for modelling and analyzing natural environments seem to be well adapted to such a complex system. To describe…

软件工程 · 计算机科学 2013-05-02 Chantal Cherifi , Jean-François Santucci

The proposal is to use clusters, graphs and networks as models in order to analyse the Web structure. Clusters, graphs and networks provide knowledge representation and organization. Clusters were generated by co-site analysis. The sample…

人工智能 · 计算机科学 2007-07-11 Xavier Polanco

We introduce NetworKit, an open-source software package for analyzing the structure of large complex networks. Appropriate algorithmic solutions are required to handle increasingly common large graph data sets containing up to billions of…

社会与信息网络 · 计算机科学 2015-11-16 Christian L. Staudt , Aleksejs Sazonovs , Henning Meyerhenke

In this paper, we analyze a major part of the research output of the Networked Knowledge Organization Systems (NKOS) community in the period 2000 to 2016 from a network analytical perspective. We focus on the papers presented at the…

社会与信息网络 · 计算机科学 2018-12-24 Fariba Karimi , Philipp Mayr , Fakhri Momeni

We present Conedy, a performant scientific tool to numerically investigate dynamics on complex networks. Conedy allows to create networks and provides automatic code generation and compilation to ensure performant treatment of arbitrary…

计算物理 · 物理学 2015-06-04 Alexander Rothkegel , Klaus Lehnertz

Networks are a fundamental model of complex systems throughout the sciences, and network datasets are typically analyzed through lower-order connectivity patterns described at the level of individual nodes and edges. However, higher-order…

社会与信息网络 · 计算机科学 2018-02-21 Austin R. Benson

The availability of network datasets advances research in network science, machine learning and related fields by enabling empirical analyses and their reproducibility, algorithm development, model validation and benchmarking. Existing…

This study introduces a method based on link analysis to investigate the structure of the R&D support infrastructure associated with science parks in order to determine whether this webometric approach gives plausible results. Three science…

数字图书馆 · 计算机科学 2013-01-22 David Minguillo , Mike Thelwall

This study explores the societal embeddedness of the websites of research projects. It combines two aims: characterizing research projects based on their weblink relationships, and discovering external societal actors that relate to the…

数字图书馆 · 计算机科学 2021-10-11 Jonathan Dudek , David G. Pina , Rodrigo Costas

The scientific literature is a large information network linking various actors (laboratories, companies, institutions, etc.). The vast amount of data generated by this network constitutes a dynamic heterogeneous attributed network (HAN),…

计算与语言 · 计算机科学 2019-03-01 Robin Brochier

The paper reports about results on the GESIS-IZ project "Competence Center Modeling and Treatment of Semantic Heterogeneity" (KoMoHe). KoMoHe supervised a terminology mapping effort, in which 'cross-concordances' between major controlled…

数字图书馆 · 计算机科学 2019-01-15 Philipp Mayr , Vivien Petras

Many real-world complex systems are best modeled by multiplex networks of interacting network layers. The multiplex network study is one of the newest and hottest themes in the statistical physics of complex networks. Pioneering studies…

物理与社会 · 物理学 2016-10-31 Kyu-Min Lee , Byungjoon Min , Kwang-Il Goh

Network science is the field dedicated to the investigation and analysis of complex systems via their representations as networks. We normally model such networks as graphs: sets of nodes connected by sets of edges and a number of node and…

计算机与社会 · 计算机科学 2025-02-03 Michele Coscia

Interest in tracing the research interests of scientific researchers is rising, and particularly that of predicting a researcher's knowledge trajectories beyond their current foci into potential inter-/cross-/multi-disciplinary…

社会与信息网络 · 计算机科学 2022-06-01 Yi Zhang , Mengjia Wu , Jie Lu

Complex networks are at the core of an intense research activity. However, in most cases, intricate and costly measurement procedures are needed to explore their structure. In some cases, these measurements rely on link queries: given two…

网络与互联网体系结构 · 计算机科学 2009-04-22 Fabien Tarissan , Matthieu Latapy , Christophe Prieur

A complex network is a condensed representation of the relational topological framework of a complex system. A main reason for the existence of such networks is the transmission of items through the entities of these complex systems. Here,…

物理与社会 · 物理学 2018-04-18 María Pereda , Ernesto Estrada

Computational notebooks offer researchers, practitioners, students, and educators the ability to interactively conduct analytics and disseminate reproducible workflows that weave together code, visuals, and narratives. This article explores…

物理与社会 · 物理学 2020-01-22 Geoff Boeing

Communication networks, in general, and internet technology, in particular, is a fast-evolving area of research. While it is important to keep track of emerging trends in this domain, it is such a fast-growing area that it can be very…

数字图书馆 · 计算机科学 2017-08-03 Bisma S. Khan , Muaz A. Niazi
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