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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?

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

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2.    Research

Online community management as social network design: testing for the signature of management activities in online communities

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

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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

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

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4.    Erratum

Erratum to: Multiplex flows in citation networks

Benjamin Renoust, Vivek Claver and Jean-François Baffier

Applied Network Science 2017 2:27

Published on: 29 August 2017

The original article was published in Applied Network Science 2017 2:23

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5.    Research

A graph exploration method for identifying influential spreaders in complex networks

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

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6.    Research

Brain network clustering with information flow motifs

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

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7.    Research

The Third Man: hierarchy formation in Wikipedia

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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8.    Research

Multiplex flows in citation networks

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 has been published in Applied Network Science 2017 2:27

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9.    Research

Effects of local network topology on the functional reconstruction of spiking neural network models

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

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10. Research

Countries’ positions in the international global value networks: Centrality and economic performance

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

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11. Research

The effect of transmission variance on observer placement for source-localization

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

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12. Research

Weighted spectral clustering for water distribution network partitioning

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

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13. Research

Complex network analysis of thermostable mutants of Bacillus subtilis Lipase A

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

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14. Research

JANUS: A hypothesis-driven Bayesian approach for understanding edge formation in attributed multigraphs

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

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15. Research

Sparse matrix computations for dynamic network centrality

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

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16. Research

The weakness of weak ties for novel information diffusion

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

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17. Research

Mapping functional connectivity of bursting neuronal networks

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

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18. Research

Efficient orbit-aware triad and quad census in directed and undirected graphs

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

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19. Research

Crowdsourcing the Robin Hood effect in cities

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

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20. Research

Trust and distrust in contradictory information transmission

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

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

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22. Research

Functional models and extending strategies for ecological networks

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

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

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

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25. Research

Robustness and efficiency in interconnected networks with changes in network assortativity

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

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26. Analyzing the coevolution of interorganizational networks and organizational performance: Automakers’ production networks in Japan

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

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27. Research

The many facets of community detection in complex networks

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

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28. Research

Improved prediction of missing protein interactome links via anomaly detection

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

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

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

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

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

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

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

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

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36. Research

Manifold learning and maximum likelihood estimation for hyperbolic network embedding

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

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37. Research

Social network analysis of the biblical Moses

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

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38. Research

Compile- and run-time approaches for the selection of efficient data structures for dynamic graph analysis

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

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39. Research

Comparison method for community detection on brain networks from neuroimaging data

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

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40. Research

Building a dynamic correlation network for fat-tailed financial asset returns

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

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41. Research

Disconnected, fragmented, or united? a trans-disciplinary review of network science

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

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42. Research

Walls-in-one: usage and temporal patterns in a social media aggregator

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

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43. Research

Towards a standard sampling methodology on online social networks: collecting global trends on Twitter

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

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44. Research

Retweet networks of the European Parliament: evaluation of the community structure

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

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45. Research

When face-tracking meets social networks: a story of politics in news videos

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

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46. Editorial

Editorial

Ronaldo Menezes and Hocine Cherifi

Applied Network Science 2016 1:1

Published on: 1 June 2016

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