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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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

  7. 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
  8. 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
  9. 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
  10. 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
  11. 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

  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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...

    Authors: Konstantin Kuzmin, Xiaoyan Lu, Partha Sarathi Mukherjee, Juntao Zhuang, Chris Gaiteri and Boleslaw K. Szymanski
    Citation: Applied Network Science 2016 1:11
  23. 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...

    Authors: Taras Agryzkov, Pablo Martí, Almudena Nolasco-Cirugeda, Leticia Serrano-Estrada, Leandro Tortosa and José F. Vicent
    Citation: Applied Network Science 2016 1:12
  24. 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...

    Authors: Steven E. Massey
    Citation: Applied Network Science 2016 1:13
  25. 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...

    Authors: Benjamin Schiller, Clemens Deusser, Jeronimo Castrillon and Thorsten Strufe
    Citation: Applied Network Science 2016 1:9
  26. 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...

    Authors: Matteo Zignani, Azadeh Esfandyari, Sabrina Gaito and Gian Paolo Rossi
    Citation: Applied Network Science 2016 1:5
  27. 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 ...

    Authors: Benjamin Renoust, Tetsuro Kobayashi, Thanh Duc Ngo, Duy-Dinh Le and Shin’Ichi Satoh
    Citation: Applied Network Science 2016 1:4
  28. 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...

    Authors: C. A. Piña-García, Carlos Gershenson and J. Mario Siqueiros-García
    Citation: Applied Network Science 2016 1:3

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