Research
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...
Applied Network Science 2017 2:26
Published on: 14 August 2017
Research
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...
Applied Network Science 2017 2:25
Published on: 3 August 2017
Research
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...
Applied Network Science 2017 2:24
Published on: 27 July 2017
Research
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 ...
Applied Network Science 2017 2:23
Published on: 18 July 2017
Research
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...
Applied Network Science 2017 2:22
Published on: 18 July 2017
Research
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...
Applied Network Science 2017 2:21
Published on: 12 July 2017
Research
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...
Applied Network Science 2017 2:20
Published on: 11 July 2017
Research
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...
Applied Network Science 2017 2:19
Published on: 30 June 2017
Research
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...
Applied Network Science 2017 2:18
Published on: 26 June 2017
Research
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...
Applied Network Science 2017 2:16
Published on: 24 June 2017
Research
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...
Applied Network Science 2017 2:17
Published on: 24 June 2017
Research
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 ...
Applied Network Science 2017 2:14
Published on: 19 June 2017
Research
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...
Applied Network Science 2017 2:15
Published on: 19 June 2017
Research
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 ...
Applied Network Science 2017 2:13
Published on: 15 June 2017
Research
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...
Applied Network Science 2017 2:11
Published on: 8 June 2017
Research
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. ...
Applied Network Science 2017 2:12
Published on: 5 June 2017
Research
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...
Applied Network Science 2017 2:9
Published on: 25 May 2017
Research
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 ...
Applied Network Science 2017 2:10
Published on: 25 May 2017
Research
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...
Applied Network Science 2017 2:8
Published on: 23 May 2017
Research
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...
Applied Network Science 2017 2:7
Published on: 5 May 2017
Research
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....
Applied Network Science 2017 2:6
Published on: 11 March 2017
Research
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...
Applied Network Science 2017 2:5
Published on: 28 February 2017
Research
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...
Applied Network Science 2017 2:4
Published on: 15 February 2017
Research
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...
Applied Network Science 2017 2:2
Published on: 28 January 2017
Research
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...
Applied Network Science 2017 2:3
Published on: 28 January 2017
