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Learn about the latest papers on Applied Network Science:

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1.    Research

Can local-community-paradigm and epitopological learning enhance our
understanding of how local brain connectivity is able to process, learn and
memorize chronic pain?
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0048-x>

The mystery behind the origin of the pain and the difficulty to propose
methodologies for its quantitative characterization fascinated philosophers
(and then scientists) from the dawn of our modern society. No...

Vaibhav Narula, Antonio Giuliano Zippo, Alessandro Muscoloni, Gabriele
Eliseo M. Biella and Carlo Vittorio Cannistraci

*Applied Network Science* 2017 *2*:28

Published on: 30 August 2017

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0048-x>*

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<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-017-0048-x?site=appliednetsci.springeropen.com>*

2.    Research

Online community management as social network design: testing for the
signature of management activities in online communities
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0049-9>

Online communities are used across several fields of human activities, as
environments for large-scale collaboration. Most successful ones employ
professionals, sometimes called “community managers” or “modera...

Alberto Cottica, Guy Melançon and Benjamin Renoust

*Applied Network Science* 2017 *2*:30

Published on: 30 August 2017

o   *Full Text
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3.    Research

A multiplex network approach for the analysis of intracranial pressure and
heart rate data in traumatic brain injured patients
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0050-3>

We present a multiplex network model for the analysis of Intracranial
Pressure (ICP) and Heart Rate (HR) behaviour after severe brain traumatic
injuries in pediatric patients. The ICP monitoring is of vital im...

Giovanna Maria Dimitri, Shruti Agrawal, Adam Young, Joseph Donnelly, Xiuyun
Liu, Peter Smielewski, Peter Hutchinson, Marek Czosnyka, Pietro Lió and
Christina Haubrich

*Applied Network Science* 2017 *2*:29

Published on: 30 August 2017

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0050-3>*

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4.    Erratum

Erratum to: Multiplex flows in citation networks
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0045-0>

Benjamin Renoust, Vivek Claver and Jean-François Baffier

*Applied Network Science* 2017 *2*:27

Published on: 29 August 2017

The original article
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0035-2> was
published in *Applied Network Science* 2017 *2*:23

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0045-0>*

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5.    Research

A graph exploration method for identifying influential spreaders in complex
networks
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0047-y>

The problem of identifying the influential spreaders - the important nodes
- in a real world network is of high importance due to its theoretical
interest as well as its practical applications, such as the acc...

Nikos Salamanos, Elli Voudigari and Emmanuel J. Yannakoudakis

*Applied Network Science* 2017 *2*:26

Published on: 14 August 2017

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0047-y>*

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<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-017-0047-y?site=appliednetsci.springeropen.com>*

6.    Research

Brain network clustering with information flow motifs
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0046-z>

Recent work has revealed frequency-dependent global patterns of information
flow by a network analysis of magnetoencephalography data of the human
brain. However, it is unknown which properties on a small subg...

Marcus Märtens, Jil Meier, Arjan Hillebrand, Prejaas Tewarie and Piet Van
Mieghem

*Applied Network Science* 2017 *2*:25

Published on: 3 August 2017

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0046-z>*

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<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-017-0046-z?site=appliednetsci.springeropen.com>*

7.    Research

The Third Man: hierarchy formation in Wikipedia
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0043-2>

Wikipedia articles are written by teams of independent volunteers in the
absence of formal hierarchical organizational structures. How is
coordination achieved under such conditions of extreme decentralization...

Jürgen Lerner and Alessandro Lomi

*Applied Network Science* 2017 *2*:24

Published on: 27 July 2017

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<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0043-2>*

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<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-017-0043-2?site=appliednetsci.springeropen.com>*

8.    Research

Multiplex flows in citation networks
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0035-2>

Knowledge is created and transmitted through generations, and innovation is
often seen as a process generated from collective intelligence. There is
rising interest in studying how innovation emerges from the ...

Benjamin Renoust, Vivek Claver and Jean-François Baffier

*Applied Network Science* 2017 *2*:23

Published on: 18 July 2017

The Erratum to this article
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0045-0> has
been published in *Applied Network Science* 2017 *2*:27

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0035-2>*

o   *PDF
<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-017-0035-2?site=appliednetsci.springeropen.com>*

9.    Research

Effects of local network topology on the functional reconstruction of
spiking neural network models
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0044-1>

The representation of information flow through structural networks, as
depicted by functional networks, does not coincide exactly with the
anatomical configuration of the networks. Model free correlation metho...

Myles Akin, Alexander Onderdonk and Yixin Guo

*Applied Network Science* 2017 *2*:22

Published on: 18 July 2017

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0044-1>*

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<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-017-0044-1?site=appliednetsci.springeropen.com>*

10. Research

Countries’ positions in the international global value networks: Centrality
and economic performance
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0041-4>

The international exchange of goods and services is increasingly organised
along global value chains in which the various production stages are
carried out at many different locations all over the world. A cou...

Isabella Cingolani, Pietro Panzarasa and Lucia Tajoli

*Applied Network Science* 2017 *2*:21

Published on: 12 July 2017

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0041-4>*

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<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-017-0041-4?site=appliednetsci.springeropen.com>*

11. Research

The effect of transmission variance on observer placement for
source-localization
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0040-5>

Detecting where an epidemic started, i.e., which node in a network was the
source, is of crucial importance in many contexts. However, finding the
source of an epidemic can be challenging, especially because t...

Brunella Spinelli, L. Elisa Celis and Patrick Thiran

*Applied Network Science* 2017 *2*:20

Published on: 11 July 2017

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0040-5>*

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<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-017-0040-5?site=appliednetsci.springeropen.com>*

12. Research

Weighted spectral clustering for water distribution network partitioning
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0033-4>

In order to improve the management and to better locate water losses, Water
Distribution Networks can be physically divided into District Meter Areas
(DMAs), inserting hydraulic devices on proper pipes and thu...

Armando Di Nardo, Michele Di Natale, Carlo Giudicianni, Roberto Greco and
Giovanni Francesco Santonastaso

*Applied Network Science* 2017 *2*:19

Published on: 30 June 2017

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0033-4>*

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<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-017-0033-4?site=appliednetsci.springeropen.com>*

13. Research

Complex network analysis of thermostable mutants of *Bacillus subtilis* Lipase
A
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0039-y>

Three-dimensional structures of proteins that regulate their functions can
be modelled using complex network based approaches for understanding the
structure-function relationship. The six mutants of the prote...

Nitika Kandhari and Somdatta Sinha

*Applied Network Science* 2017 *2*:18

Published on: 26 June 2017

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0039-y>*

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<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-017-0039-y?site=appliednetsci.springeropen.com>*

14. Research

JANUS: A hypothesis-driven Bayesian approach for understanding edge
formation in attributed multigraphs
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0036-1>

Understanding edge formation represents a key question in network analysis.
Various approaches have been postulated across disciplines ranging from
network growth models to statistical (regression) methods. In...

Lisette Espín-Noboa, Florian Lemmerich, Markus Strohmaier and Philipp Singer

*Applied Network Science* 2017 *2*:16

Published on: 24 June 2017

o   *Full Text
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<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-017-0036-1?site=appliednetsci.springeropen.com>*

15. Research

Sparse matrix computations for dynamic network centrality
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0038-z>

Time sliced networks describing human-human digital interactions are
typically large and sparse. This is the case, for example, with pairwise
connectivity describing social media, voice call or physical proxim...

Francesca Arrigo and Desmond J. Higham

*Applied Network Science* 2017 *2*:17

Published on: 24 June 2017

o   *Full Text
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<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-017-0038-z?site=appliednetsci.springeropen.com>*

16. Research

The weakness of weak ties for novel information diffusion
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0034-3>

Weak ties are thought to facilitate the diffusion of information through
social networks because of their tendency to span otherwise distant
subgroups. However, this logic assumes that weak relationships have ...

Jennifer M. Larson

*Applied Network Science* 2017 *2*:14

Published on: 19 June 2017

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0034-3>*

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<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-017-0034-3?site=appliednetsci.springeropen.com>*

17. Research

Mapping functional connectivity of bursting neuronal networks
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0037-0>

Using single-cell laser scanning photostimulation (LSPS) combined with
broad-field calcium imaging, we measured the functional connectivity of
neuronal cultures before and after the developmental appearance of...

Tuan D. Nguyen, Kelly D. O’Connor, Krishna Sheth and Nick Bolle

*Applied Network Science* 2017 *2*:15

Published on: 19 June 2017

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0037-0>*

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18. Research

Efficient orbit-aware triad and quad census in directed and undirected
graphs
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0027-2>

The prevalence of select substructures is an indicator of network effects
in applications such as social network analysis and systems biology.
Moreover, subgraph statistics are pervasive in stochastic network ...

Mark Ortmann and Ulrik Brandes

*Applied Network Science* 2017 *2*:13

Published on: 15 June 2017

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0027-2>*

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<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-017-0027-2?site=appliednetsci.springeropen.com>*

19. Research

Crowdsourcing the Robin Hood effect in cities
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0026-3>

Socioeconomic inequalities in cities are embedded in space and result in
neighborhood effects, whose harmful consequences have proved very hard to
counterbalance efficiently by planning policies alone. Conside...

Thomas Louail, Maxime Lenormand, Juan Murillo Arias and José J. Ramasco

*Applied Network Science* 2017 *2*:11

Published on: 8 June 2017

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0026-3>*

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<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-017-0026-3?site=appliednetsci.springeropen.com>*

20. Research

Trust and distrust in contradictory information transmission
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0029-0>

We analyse the problem of contradictory information distribution in
networks of agents with positive and negative trust. The networks of
interest are built by ranked agents with different epistemic attitudes. ...

Giuseppe Primiero, Franco Raimondi, Michele Bottone and Jacopo Tagliabue

*Applied Network Science* 2017 *2*:12

Published on: 5 June 2017

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21. Research

The gradual evolution of buyer–seller networks and their role in aggregate
fluctuations
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0030-7>

Buyer–seller relationships among firms can be regarded as a longitudinal
network in which the connectivity pattern evolves as each firm receives
productivity shocks. Based on a data set describing the evolutio...

Ryohei Hisano, Tsutomu Watanabe, Takayuki Mizuno, Takaaki Ohnishi and
Didier Sornette

*Applied Network Science* 2017 *2*:9

Published on: 25 May 2017

o   *Full Text
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<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-017-0030-7?site=appliednetsci.springeropen.com>*

22. Research

Functional models and extending strategies for ecological networks
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0032-5>

Complex network analysis is rising as an essential tool to understand
properties of ecological landscape networks, and as an aid to land
management. The most common methods to build graph models of ecological ...

Gianni Fenu, Pier Luigi Pau and Danilo Dessì

*Applied Network Science* 2017 *2*:10

Published on: 25 May 2017

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23. Research

Dynamic correlation network analysis of financial asset returns with
network clustering
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0031-6>

In this study, we propose a novel approach to analyze a dynamic correlation
network of highly volatile financial asset returns by using a network
clustering algorithm to deal with high dimensionality issues. W...

Takashi Isogai

*Applied Network Science* 2017 *2*:8

Published on: 23 May 2017

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24. Research

Financial market predictability with tensor decomposition and links forecast
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0028-1>

Inspecting financial markets from a complex network perspective means to
extract relationships and interdependencies from stock price time series.
Correlation networks have been shown to adequately capture suc...

A. Spelta

*Applied Network Science* 2017 *2*:7

Published on: 5 May 2017

o   *Full Text
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25. Research

Robustness and efficiency in interconnected networks with changes in
network assortativity
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0025-4>

In this study, the effect of assortativity on the robustness and efficiency
of interconnected networks was investigated. This involved constructing a
network that possessed the desired degree of assortativity....

Masaya Murakami, Shu Ishikura, Daichi Kominami, Tetsuya Shimokawa and
Masayuki Murata

*Applied Network Science* 2017 *2*:6

Published on: 11 March 2017

o   *Full Text
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26. Analyzing the coevolution of interorganizational networks and
organizational performance: Automakers’ production networks in Japan
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0024-5>

Organizations create networks with one another, and these networks may in
turn shape the organizations involved. Until recently, such complex dynamic
processes could not be rigorously empirically analyzed beca...

Petr Matous and Yasuyuki Todo

*Applied Network Science* 2017 *2*:5

Published on: 28 February 2017

o   *Full Text
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27. Research

The many facets of community detection in complex networks
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0023-6>

Community detection, the decomposition of a graph into essential building
blocks, has been a core research topic in network science over the past
years. Since a precise notion of what constitutes a community h...

Michael T. Schaub, Jean-Charles Delvenne, Martin Rosvall and Renaud
Lambiotte

*Applied Network Science* 2017 *2*:4

Published on: 15 February 2017

o   *Full Text
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28. Research

Improved prediction of missing protein interactome links via anomaly
detection
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0022-7>

Interactomes such as Protein interaction networks have many undiscovered
links between entities. Experimental verification of every link in these
networks is prohibitively expensive, and therefore computationa...

Kushal Veer Singh and Lovekesh Vig

*Applied Network Science* 2017 *2*:2

Published on: 28 January 2017

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29. Research

Network reconstruction via density sampling
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-017-0021-8>

Reconstructing weighted networks from partial information is necessary in
many important circumstances, e.g. for a correct estimation of systemic
risk. It has been shown that, in order to achieve an accurate r...

Tiziano Squartini, Giulio Cimini, Andrea Gabrielli and Diego Garlaschelli

*Applied Network Science* 2017 *2*:3

Published on: 28 January 2017

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30. Research

Evolving network structure of academic institutions
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0020-1>

Today’s colleges and universities consist of highly complex structures that
dictate interactions between the administration, faculty, and student body.
These structures can play a role in dictating the efficie...

Shufan Wang, Mariam Avagyan and Per Sebastian Skardal

*Applied Network Science* 2017 *2*:1

Published on: 19 January 2017

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31. Research

The global dynamical complexity of the human brain network
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0018-8>

How much information do large brain networks integrate as a whole over the
sum of their parts? Can the dynamical complexity of such networks be
globally quantified in an information-theoretic way and be meanin...

Xerxes D. Arsiwalla and Paul F. M. J. Verschure

*Applied Network Science* 2016 *1*:16

Published on: 30 December 2016

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32. Research

Quantifying the diaspora of knowledge in the last century
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0017-9>

Academic research is driven by several factors causing different
disciplines to act as “sources” or “sinks” of knowledge. However, how the
flow of authors’ research interests – a proxy of human knowledge – evo...

Manlio De Domenico, Elisa Omodei and Alex Arenas

*Applied Network Science* 2016 *1*:15

Published on: 29 November 2016

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33. Research

Untangling the role of diverse social dimensions in the diffusion of
microfinance
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0016-x>

Ties between individuals on a social network can represent different
dimensions of interactions, and the spreading of information and
innovations on these networks could potentially be driven by some
dimension...

Elisa Omodei and Alex Arenas

*Applied Network Science* 2016 *1*:14

Published on: 22 November 2016

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34. Research

Supporting novel biomedical research via multilayer collaboration networks
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0015-y>

The value of research containing novel combinations of molecules can be
seen in many innovative and award-winning research programs. Despite calls
to use innovative approaches to address common diseases, an in...

Konstantin Kuzmin, Xiaoyan Lu, Partha Sarathi Mukherjee, Juntao Zhuang,
Chris Gaiteri and Boleslaw K. Szymanski

*Applied Network Science* 2016 *1*:11

Published on: 17 November 2016

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35. Research

Analysing successful public spaces in an urban street network using data
from the social networks Foursquare and Twitter
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0014-z>

This paper analyzes success public spaces (specifically *plazas*) in the
urban fabric of the city of Murcia, Spain. Two approaches were adopted.
Firstly, the city was visualized as a complex network whose nodes rep...

Taras Agryzkov, Pablo Martí, Almudena Nolasco-Cirugeda, Leticia
Serrano-Estrada, Leandro Tortosa and José F. Vicent

*Applied Network Science* 2016 *1*:12

Published on: 16 November 2016

o   *Full Text
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o   *PDF
<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-016-0014-z?site=appliednetsci.springeropen.com>*

36. Research

Manifold learning and maximum likelihood estimation for hyperbolic network
embedding
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0013-0>

The Popularity-Similarity (PS) model sustains that clustering and
hierarchy, properties common to most networks representing complex systems,
are the result of an optimisation process in which nodes seek to fo...

Gregorio Alanis-Lobato, Pablo Mier and Miguel A. Andrade-Navarro

*Applied Network Science* 2016 *1*:10

Published on: 15 November 2016

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0013-0>*

o   *PDF
<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-016-0013-0?site=appliednetsci.springeropen.com>*

37. Research

Social network analysis of the biblical Moses
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0012-1>

Here, social network analysis approaches are used to characterize the
figure of the biblical Moses, and his relationship with characters from the
books of the Pentateuch; Genesis, Exodus, Leviticus, Numbers an...

Steven E. Massey

*Applied Network Science* 2016 *1*:13

Published on: 14 November 2016

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0012-1>*

o   *PDF
<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-016-0012-1?site=appliednetsci.springeropen.com>*

38. Research

Compile- and run-time approaches for the selection of efficient data
structures for dynamic graph analysis
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0011-2>

Graphs are used to model a wide range of systems from different disciplines
including social network analysis, biology, and big data processing. When
analyzing these constantly changing dynamic graphs at a hig...

Benjamin Schiller, Clemens Deusser, Jeronimo Castrillon and Thorsten Strufe

*Applied Network Science* 2016 *1*:9

Published on: 5 September 2016

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0011-2>*

o   *PDF
<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-016-0011-2?site=appliednetsci.springeropen.com>*

39. Research

Comparison method for community detection on brain networks from
neuroimaging data
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0007-y>

The brain is a complex system consisting of regions dedicated to different
brain functions, and higher cognitive functions are realized via
information flow between distant brain areas communicating with each ...

Fumihiko Taya, Joshua de Souza, Nitish V. Thakor and Anastasios Bezerianos

*Applied Network Science* 2016 *1*:8

Published on: 16 August 2016

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0007-y>*

o   *PDF
<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-016-0007-y?site=appliednetsci.springeropen.com>*

40. Research

Building a dynamic correlation network for fat-tailed financial asset
returns
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0008-x>

In this paper, a novel approach to building a dynamic correlation network
of highly volatile financial asset returns is presented. Our method avoids
the spurious correlation problem when estimating the dynamic...

Takashi Isogai

*Applied Network Science* 2016 *1*:7

Published on: 2 August 2016

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0008-x>*

o   *PDF
<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-016-0008-x?site=appliednetsci.springeropen.com>*

41. Research

Disconnected, fragmented, or united? a trans-disciplinary review of network
science
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0010-3>

During decades the study of networks has been divided between the efforts
of social scientists and natural scientists, two groups of scholars who
often do not see eye to eye. In this review I present an effort...

César A. Hidalgo

*Applied Network Science* 2016 *1*:6

Published on: 20 July 2016

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0010-3>*

o   *PDF
<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-016-0010-3?site=appliednetsci.springeropen.com>*

42. Research

Walls-in-one: usage and temporal patterns in a social media aggregator
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0009-9>

The continual launches of new online social media that meet the most varied
people’s needs are resulting in a simultaneous adoption of different social
platforms. As a consequence people are pushed to handle t...

Matteo Zignani, Azadeh Esfandyari, Sabrina Gaito and Gian Paolo Rossi

*Applied Network Science* 2016 *1*:5

Published on: 11 July 2016

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0009-9>*

o   *PDF
<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-016-0009-9?site=appliednetsci.springeropen.com>*

43. Research

Towards a standard sampling methodology on online social networks:
collecting global trends on Twitter
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0004-1>

One of the most significant current challenges in large-scale online social
networks, is to establish a concise and coherent method aimed to collect
and summarize data. Sampling the content of an Online Social...

C. A. Piña-García, Carlos Gershenson and J. Mario Siqueiros-García

*Applied Network Science* 2016 *1*:3

Published on: 1 June 2016

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0004-1>*

o   *PDF
<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-016-0004-1?site=appliednetsci.springeropen.com>*

44. Research

Retweet networks of the European Parliament: evaluation of the community
structure
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0001-4>

Analyzing information from social media to uncover underlying real-world
phenomena is becoming widespread. The goal of this paper is to evaluate the
role of Twitter in identifying communities of influence when...

Darko Cherepnalkoski and Igor Mozetič

*Applied Network Science* 2016 *1*:2

Published on: 1 June 2016

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0001-4>*

o   *PDF
<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-016-0001-4?site=appliednetsci.springeropen.com>*

45. Research

When face-tracking meets social networks: a story of politics in news videos
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0003-2>

In the age of data processing, news videos are rich mines of information.
After all, the news are essentially created to convey information to the
public. But can we go beyond what is directly presented to us ...

Benjamin Renoust, Tetsuro Kobayashi, Thanh Duc Ngo, Duy-Dinh Le and
Shin’Ichi Satoh

*Applied Network Science* 2016 *1*:4

Published on: 1 June 2016

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0003-2>*

o   *PDF
<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-016-0003-2?site=appliednetsci.springeropen.com>*

46. Editorial

Editorial
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0002-3>

Ronaldo Menezes and Hocine Cherifi

*Applied Network Science* 2016 *1*:1

Published on: 1 June 2016

o   *Full Text
<https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0002-3>*

o   *PDF
<https://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-016-0002-3?site=appliednetsci.springeropen.com>*



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