@appliednetsci

Open-access, strictly peer-reviewed journal publishing in all established and emerging fields benefiting from quantitative network-based modeling

appliednetsci.springeropen.com
Joined August 2015
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140Media
Correction: Towards a better understanding of the characteristics of fractal networks ift.tt/LpW0DHo

Correction: Towards a better understanding of the characteristics of fractal networks

Applied Network Science -

link.springer.com
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Artificial benchmark for community detection with outliers (ABCD+o) ift.tt/dzDmW4v

Artificial benchmark for community detection with outliers (ABCD+o)

Applied Network Science - The Artificial Benchmark for Community Detection graph (ABCD) is a random graph model with community structure and power-law distribution for both degrees and community...

link.springer.com
376
On the role of network topology in German-Jewish recommendation letter networks in the early twentieth century ift.tt/dWPZ9sn

On the role of network topology in German-Jewish recommendation letter networks in the early...

Applied Network Science - Recommendation letters were an important instrument for orchestrating Jewish emigration from Germany in the late nineteenth and early twentieth century. Here, we present...

link.springer.com
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GRANDPA: GeneRAtive network sampling using degree and property augmentation applied to the analysis of partially confidential healthcare networks ift.tt/vfbdTrJ

GRANDPA: GeneRAtive network sampling using degree and property augmentation applied to the analysis...

Applied Network Science - Protecting medical privacy can create obstacles in the analysis and distribution of healthcare graphs and statistical inferences accompanying them. We pose a graph...

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Operationalizing anthropological theory: four techniques to simplify networks of co-occurring ethnographic codes ift.tt/hKEy4LR

Operationalizing anthropological theory: four techniques to simplify networks of co-occurring...

Applied Network Science - The use of data and algorithms in the social sciences allows for exciting progress, but also poses epistemological challenges. Operations that appear innocent and purely...

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The risk of aggregating networks when diffusion is tie-specific ift.tt/KJC2LMD

The risk of aggregating networks when diffusion is tie-specific

Applied Network Science - Empirical studies of the spread of something through social networks, a process often called diffusion, tend to rely on network data assembled from the measurement of...

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169
Parameterizing network graph heterogeneity using a modified Weibull distribution ift.tt/8pBZqFE

Parameterizing network graph heterogeneity using a modified Weibull distribution

Applied Network Science - We present a simple method to quantitatively capture the heterogeneity in the degree distribution of a network graph using a single parameter $$\sigma$$ . Using an...

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Course-prerequisite networks for analyzing and understanding academic curricula ift.tt/HDXiI50

Course-prerequisite networks for analyzing and understanding academic curricula

Applied Network Science - Understanding a complex system of relationships between courses is of great importance for the university’s educational mission. This paper is dedicated to the study...

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Towards a better understanding of the characteristics of fractal networks ift.tt/U9uep2V

Towards a better understanding of the characteristics of fractal networks

Applied Network Science - The fractal nature of complex networks has received a great deal of research interest in the last two decades. Similarly to geometric fractals, the fractality of networks...

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Impact of network centrality and income on slowing infection spread after outbreaks ift.tt/hqHwWsg

Impact of network centrality and income on slowing infection spread after outbreaks

Applied Network Science - The COVID-19 pandemic has shed light on how the spread of infectious diseases worldwide are importantly shaped by both human mobility networks and socio-economic factors....

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The persistent homology of genealogical networks ift.tt/E0qBmGA

The persistent homology of genealogical networks

Applied Network Science - Genealogical networks (i.e. family trees) are of growing interest, with the largest known data sets now including well over one billion individuals. Interest in family...

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Centrality measure and visualization technique for multiple-parent nodes of earthquakes based on correlation-metric ift.tt/jvUPGBy

Centrality measure and visualization technique for multiple-parent nodes of earthquakes based on...

Applied Network Science - In this paper, we address the problem of earthquake declustering, and propose a k-nearest neighbors approach based on the selection of multiple-parent nodes with respect...

link.springer.com
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Distributed Identification of Central Nodes with Less Communication ift.tt/scqCgd2

Distributed Identification of Central Nodes with Less Communication

Applied Network Science - This paper is concerned with distributed detection of central nodes in complex networks using closeness centrality. Closeness centrality plays an essential role in network...

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Integrated twitter analysis to distinguish systems thinkers at various levels: a case study of COVID-19 ift.tt/CtEwPu8

Integrated twitter analysis to distinguish systems thinkers at various levels: a case study of...

Applied Network Science - Systems Thinking (ST) has become essential for practitioners and experts when dealing with turbulent and complex environments. Twitter medium harbors social capital...

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Network embedding aided vaccine skepticism detection ift.tt/mBOUirA

Network embedding aided vaccine skepticism detection

Applied Network Science - We investigate automatic methods to assess COVID vaccination views in Twitter content. Vaccine skepticism has been a controversial topic of long history that has become...

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Networks of climate change: connecting causes and consequences ift.tt/FLjJQdS

Networks of climate change: connecting causes and consequences

Applied Network Science - Understanding the causes and consequences of, and devising countermeasures to, global warming is a profoundly complex problem. Network representations are sometimes the...

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Measuring the effect of collaborative filtering on the diversity of users’ attention ift.tt/b5QdwIF

Measuring the effect of collaborative filtering on the diversity of users’ attention

Applied Network Science - While the ever-increasing emergence of online services has led to a growing interest in the development of recommender systems, the algorithms underpinning such systems...

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Democratizing corruption: a role structure analysis of Indonesia’s “Big Bang” decentralization ift.tt/dfv8SlA

Democratizing corruption: a role structure analysis of Indonesia’s “Big Bang” decentralization

Applied Network Science - The study investigates to what degree Indonesia’s large-scale decentralization and democratization changed corruption networks. A role structure approach is...

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An efficient weighted network centrality approach for exploring mechanisms of action of the Ruellia herbal formula for treating rheumatoid arthritis ift.tt/CZTeMqx
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A methodology framework for bipartite network modeling ift.tt/e61IMdY

A methodology framework for bipartite network modeling

Applied Network Science - The graph-theoretic based studies employing bipartite network approach mostly focus on surveying the statistical properties of the structure and behavior of the network...

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