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  1. Ideas, information, viruses: all of them, with their mechanisms, spread over the complex social information, viruses: all tissues described by our interpersonal relations. Usually, to simulate and understand t...

    Authors: Letizia Milli, Giulio Rossetti, Dino Pedreschi and Fosca Giannotti
    Citation: Applied Network Science 2018 3:42
  2. An electroencephalography (EEG) coherence network is a representation of functional brain connectivity, and is constructed by calculating the coherence between pairs of electrode signals as a function of frequ...

    Authors: Chengtao Ji, Natasha M. Maurits and Jos B. T. M. Roerdink
    Citation: Applied Network Science 2018 3:41
  3. In corporate networks, firms are connected through links of corporate ownership and shared directors, connecting the control over major economic actors in our economies in meaningful and consequential ways. Most ...

    Authors: Frank W. Takes, Walter A. Kosters, Boyd Witte and Eelke M. Heemskerk
    Citation: Applied Network Science 2018 3:39
  4. With the growing ubiquity of data in network form, clustering in the context of a network, represented as a graph, has become increasingly important. Clustering is a very useful data exploratory machine learni...

    Authors: John Matta, Junya Zhao, Gunes Ercal and Tayo Obafemi-Ajayi
    Citation: Applied Network Science 2018 3:38
  5. Law enforcement and intelligence agencies worldwide struggle to find effective ways to fight organized crime and reduce criminality. However, illegal networks operate outside the law and much of the data colle...

    Authors: Bruno Requião da Cunha and SebastiÔn Gonçalves
    Citation: Applied Network Science 2018 3:36
  6. Due to the open data policies, nowadays, some countries have their power grid data available online. This may bring a new concern to the power grid operators in terms of malicious threats. In this paper, we as...

    Authors: Hale Cetinay, Karel Devriendt and Piet Van Mieghem
    Citation: Applied Network Science 2018 3:34
  7. Tuberculosis (TB) is an ancient disease that, although curable, still accounts for over 1 million deaths worldwide. Shortening treatment time is an important area of research but is hampered by the lack of mod...

    Authors: Michael J. Pitcher, Ruth Bowness, Simon Dobson and Stephen H. Gillespie
    Citation: Applied Network Science 2018 3:33
  8. A plethora of centrality measures or rankings have been proposed to account for the importance of the nodes of a network. In the seminal study of Boldi and Vigna (2014), the comparative evaluation of centralit...

    Authors: Ferenc Béres, Róbert PÔlovics, Anna OlÔh and AndrÔs A. Benczúr
    Citation: Applied Network Science 2018 3:32
  9. Water Distribution Networks (WDN) are complex and highly interconnected systems. To maintain operation under failure conditions, WDNs should have built-in resilience based on topological and energy redundancy....

    Authors: Aly-Joy Ulusoy, Ivan Stoianov and Aurelie Chazerain
    Citation: Applied Network Science 2018 3:31
  10. In this paper we describe the application of a learning classifier system (LCS) variant known as the eXtended classifier system (XCS) to evolve a set of ā€˜control rules’ for a number of Boolean network instance...

    Authors: Matthew R. Karlsen and Sotiris Moschoyiannis
    Citation: Applied Network Science 2018 3:30
  11. We propose and illustrate an approach of Soft Textual Cartography consisting in the clustering of regions by taking into account both their spatial relationships and their textual description within a corpus. ...

    Authors: Raphaƫl CerƩ and Mattia Egloff
    Citation: Applied Network Science 2018 3:27
  12. Three fundamental elements to understand human information networks are the individuals (actors) in the network, the information they exchange, that is often observable online as text content (emails, social m...

    Authors: Davide Vega and Matteo Magnani
    Citation: Applied Network Science 2018 3:25
  13. With a steadily growing population and rapid advancements in technology, the global economy is increasing in size and complexity. This growth exacerbates global vulnerabilities and may lead to unforeseen conse...

    Authors: Xiang Niu, Alaa Moussawi, Gyorgy Korniss and Boleslaw K. Szymanski
    Citation: Applied Network Science 2018 3:24
  14. In real physical systems the underlying spatial components might not have crisp boundaries and their interactions might not be instantaneous. To this end, we propose Ī“-MAPS; a method that identifies spatially con...

    Authors: Ilias Fountalis, Constantine Dovrolis, Annalisa Bracco, Bistra Dilkina and Shella Keilholz
    Citation: Applied Network Science 2018 3:21
  15. In this paper, we analyze the millions of referral paths of patients’ interactions with the healthcare system for each year in the 2006-2011 time period and relate them to U.S. cardiovascular treatment records...

    Authors: Chuankai An, A. James O’Malley and Daniel N. Rockmore
    Citation: Applied Network Science 2018 3:20
  16. The ubiquity of supply chains along with their increasingly interconnected structure has ignited interest in studying supply chain networks through the lens of complex adaptive systems. A particularly importan...

    Authors: Viplove Arora and Mario Ventresca
    Citation: Applied Network Science 2018 3:19
  17. Dividing a geographical region into some subregions with common characteristics is an important research topic, and has been studied in many research fields such as urban planning and transportation planning. ...

    Authors: Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda and Kazuhiro Kazama
    Citation: Applied Network Science 2018 3:18
  18. Link-prediction is an active research field within network theory, aiming at uncovering missing connections or predicting the emergence of future relationships from the observed network structure. This paper r...

    Authors: Federica Parisi, Guido Caldarelli and Tiziano Squartini
    Citation: Applied Network Science 2018 3:17
  19. Concept maps, which are network-like visualisations of the inter-linkages between concepts, are used in teaching and learning as representations of students’ understanding of conceptual knowledge and its relat...

    Authors: Ismo T. Koponen and Maija Nousiainen
    Citation: Applied Network Science 2018 3:14
  20. In this paper, a novel method is proposed for designing a bike network in urban areas. Based on the number of taxi trips within an urban area, a weighted network is abstracted. In this network, nodes are the o...

    Authors: Meisam Akbarzadeh, Syed Sina Mohri and Ehsan Yazdian
    Citation: Applied Network Science 2018 3:12
  21. 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
  22. There is an increasing accumulation of evidence supporting the existence of a hyperbolic geometry underlying the network representation of complex systems. In particular, it has been shown that the latent geom...

    Authors: Franziska HƤrtner, Miguel A. Andrade-Navarro and Gregorio Alanis-Lobato
    Citation: Applied Network Science 2018 3:10
  23. 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
  24. The structure of egocentric networks reflects the way people balance their need for strong, emotionally intense relationships and a diversity of weaker ties. Egocentric network structure can be quantified with...

    Authors: Sara Heydari, Sam G. Roberts, Robin I. M. Dunbar and Jari SaramƤki
    Citation: Applied Network Science 2018 3:8
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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

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