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  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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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