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  1. In recent years, parallel developments in disparate disciplines have focused on what has come to be termed connectivity; a concept used in understanding and describing complex systems. Conceptualisations and oper...

    Authors: Laura Turnbull, Marc-Thorsten Hütt, Andreas A. Ioannides, Stuart Kininmonth, Ronald Poeppl, Klement Tockner, Louise J. Bracken, Saskia Keesstra, Lichan Liu, Rens Masselink and Anthony J. Parsons
    Citation: Applied Network Science 2018 3:11
  2. In a recent work we introduced a measure of importance for groups of vertices in a complex network. This centrality for groups is always between 0 and 1 and induces the eigenvector centrality over vertices. Fu...

    Authors: Pierre-Louis Giscard and Richard C. Wilson
    Citation: Applied Network Science 2018 3:9
  3. We describe a methodology for characterizing the relative structural importance of an arbitrary network edge by exploiting the properties of a k-shortest path algorithm. We introduce the metric Edge Gravity, meas...

    Authors: Mary E. Helander and Sarah McAllister
    Citation: Applied Network Science 2018 3:7
  4. Spatial embeddedness and planarity of urban road networks limit the range of their node degree values. Therefore, pursuing analysis based on the distribution of node degrees e.g. scale free aspect could not be...

    Authors: Meisam Akbarzadeh, Soroush Memarmontazerin and Sheida Soleimani
    Citation: Applied Network Science 2018 3:4
  5. A community is a subset of a wider network where the members of that subset are more strongly connected to each other than they are to the rest of the network. In this paper, we consider the problem of identif...

    Authors: Craig Bakker, Mahantesh Halappanavar and Arun Visweswara Sathanur
    Citation: Applied Network Science 2018 3:3
  6. Most real networks are too large or they are not available for real time analysis. Therefore, in practice, decisions are made based on partial information about the ground truth network. It is of great interes...

    Authors: Ralucca Gera, L. Alonso, Brian Crawford, Jeffrey House, J. A. Mendez-Bermudez, Thomas Knuth and Ryan Miller
    Citation: Applied Network Science 2018 3:2
  7. Many bipartite and unipartite real-world networks display a nested structure. Examples pervade different disciplines: biological ecosystems (e.g. mutualistic networks), economic networks (e.g. manufactures and...

    Authors: Alexander Grimm and Claudio J. Tessone
    Citation: Applied Network Science 2017 2:37
  8. Research on generative models plays a central role in the emerging field of network science, studying how statistical patterns found in real networks could be generated by formal rules. Output from these gener...

    Authors: Christian L. Staudt, Michael Hamann, Alexander Gutfraind, Ilya Safro and Henning Meyerhenke
    Citation: Applied Network Science 2017 2:36
  9. Due to the increasingly complex and interconnected nature of global supply chain networks (SCNs), a recent strand of research has applied network science methods to model SCN growth and subsequently analyse va...

    Authors: Supun Perera, Michael G.H. Bell and Michiel C.J. Bliemer
    Citation: Applied Network Science 2017 2:33
  10. This article proposes a method to numerically characterise the homogeneity of polyphonic musical signals through community detection in audio-associated visibility networks and to detect patterns that allow th...

    Authors: Dirceu de Freitas Piedade Melo, Inacio de Sousa Fadigas and Hernane Borges de Barros Pereira
    Citation: Applied Network Science 2017 2:32
  11. 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...

    Authors: Alberto Cottica, Guy Melançon and Benjamin Renoust
    Citation: Applied Network Science 2017 2:30
  12. 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...

    Authors: Giovanna Maria Dimitri, Shruti Agrawal, Adam Young, Joseph Donnelly, Xiuyun Liu, Peter Smielewski, Peter Hutchinson, Marek Czosnyka, Pietro Lió and Christina Haubrich
    Citation: Applied Network Science 2017 2:29
  13. 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...

    Authors: Vaibhav Narula, Antonio Giuliano Zippo, Alessandro Muscoloni, Gabriele Eliseo M. Biella and Carlo Vittorio Cannistraci
    Citation: Applied Network Science 2017 2:28
  14. 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...

    Authors: Marcus Märtens, Jil Meier, Arjan Hillebrand, Prejaas Tewarie and Piet Van Mieghem
    Citation: Applied Network Science 2017 2:25
  15. 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...

    Authors: Jürgen Lerner and Alessandro Lomi
    Citation: Applied Network Science 2017 2:24
  16. 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 ...

    Authors: Benjamin Renoust, Vivek Claver and Jean-François Baffier
    Citation: Applied Network Science 2017 2:23

    The Erratum to this article has been published in Applied Network Science 2017 2:27

  17. 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...

    Authors: Armando Di Nardo, Michele Di Natale, Carlo Giudicianni, Roberto Greco and Giovanni Francesco Santonastaso
    Citation: Applied Network Science 2017 2:19
  18. 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...

    Authors: Francesca Arrigo and Desmond J. Higham
    Citation: Applied Network Science 2017 2:17
  19. 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...

    Authors: Lisette Espín-Noboa, Florian Lemmerich, Markus Strohmaier and Philipp Singer
    Citation: Applied Network Science 2017 2:16
  20. 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...

    Authors: Tuan D. Nguyen, Kelly D. O’Connor, Krishna Sheth and Nick Bolle
    Citation: Applied Network Science 2017 2:15
  21. 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 ...

    Authors: Jennifer M. Larson
    Citation: Applied Network Science 2017 2:14

    The Correction to this article has been published in Applied Network Science 2020 5:8

  22. 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...

    Authors: Thomas Louail, Maxime Lenormand, Juan Murillo Arias and José J. Ramasco
    Citation: Applied Network Science 2017 2:11
  23. 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. ...

    Authors: Giuseppe Primiero, Franco Raimondi, Michele Bottone and Jacopo Tagliabue
    Citation: Applied Network Science 2017 2:12
  24. 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...

    Authors: Ryohei Hisano, Tsutomu Watanabe, Takayuki Mizuno, Takaaki Ohnishi and Didier Sornette
    Citation: Applied Network Science 2017 2:9
  25. 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....

    Authors: Masaya Murakami, Shu Ishikura, Daichi Kominami, Tetsuya Shimokawa and Masayuki Murata
    Citation: Applied Network Science 2017 2:6
  26. 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...

    Authors: Petr Matous and Yasuyuki Todo
    Citation: Applied Network Science 2017 2:5
  27. 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...

    Authors: Michael T. Schaub, Jean-Charles Delvenne, Martin Rosvall and Renaud Lambiotte
    Citation: Applied Network Science 2017 2:4
  28. 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...

    Authors: Tiziano Squartini, Giulio Cimini, Andrea Gabrielli and Diego Garlaschelli
    Citation: Applied Network Science 2017 2:3
  29. 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...

    Authors: Shufan Wang, Mariam Avagyan and Per Sebastian Skardal
    Citation: Applied Network Science 2017 2:1
  30. 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...

    Authors: Xerxes D. Arsiwalla and Paul F. M. J. Verschure
    Citation: Applied Network Science 2016 1:16
  31. 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...

    Authors: Manlio De Domenico, Elisa Omodei and Alex Arenas
    Citation: Applied Network Science 2016 1:15

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