local-community-paradigm and epitopological learning enhance our understanding
of how local brain connectivity is able to process, learn and memorize chronic
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...
Narula, Antonio Giuliano Zippo, Alessandro Muscoloni, Gabriele Eliseo M. Biella
and Carlo Vittorio Cannistraci
Network Science 2017 2:28
on: 30 August 2017
o Full Text
A graph exploration
method for identifying influential spreaders in complex networks
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...
Salamanos, Elli Voudigari and Emmanuel J. Yannakoudakis
Network Science 2017 2:26
on: 14 August 2017
clustering with information flow motifs
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...
Märtens, Jil Meier, Arjan Hillebrand, Prejaas Tewarie and Piet Van Mieghem
Network Science 2017 2:25
on: 3 August 2017
The Third Man:
hierarchy formation in 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...
Lerner and Alessandro Lomi
Network Science 2017 2:24
on: 27 July 2017
in citation networks
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 ...
Renoust, Vivek Claver and Jean-François Baffier
Network Science 2017 2:23
on: 18 July 2017
The Erratum to this
article has been published in Applied Network Science 2017 2:27
The effect of
transmission variance on observer placement for source-localization
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...
Spinelli, L. Elisa Celis and Patrick Thiran
Network Science 2017 2:20
on: 11 July 2017
spectral clustering for water distribution network partitioning
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...
Di Nardo, Michele Di Natale, Carlo Giudicianni, Roberto Greco and Giovanni
Network Science 2017 2:19
on: 30 June 2017
computations for dynamic network centrality
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...
Arrigo and Desmond J. Higham
Network Science 2017 2:17
on: 24 June 2017
The weakness of
weak ties for novel information diffusion
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 ...
Network Science 2017 2:14
on: 19 June 2017
functional connectivity of bursting neuronal networks
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...
D. Nguyen, Kelly D. O’Connor, Krishna Sheth and Nick Bolle
Network Science 2017 2:15
on: 19 June 2017
the Robin Hood effect in cities
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...
Louail, Maxime Lenormand, Juan Murillo Arias and José J. Ramasco
Network Science 2017 2:11
on: 8 June 2017
distrust in contradictory information transmission
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. ...
Primiero, Franco Raimondi, Michele Bottone and Jacopo Tagliabue
Network Science 2017 2:12
on: 5 June 2017
evolution of buyer–seller networks and their role in aggregate fluctuations
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...
Hisano, Tsutomu Watanabe, Takayuki Mizuno, Takaaki Ohnishi and Didier Sornette
Network Science 2017 2:9
on: 25 May 2017
models and extending strategies for ecological networks
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 ...
Fenu, Pier Luigi Pau and Danilo Dessì
Network Science 2017 2:10
on: 25 May 2017
efficiency in interconnected networks with changes in network assortativity
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....
Murakami, Shu Ishikura, Daichi Kominami, Tetsuya Shimokawa and Masayuki Murata
Network Science 2017 2:6
on: 11 March 2017
26. Analyzing the coevolution of interorganizational networks
and organizational performance: Automakers’ production networks in Japan
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...
Matous and Yasuyuki Todo
Network Science 2017 2:5
on: 28 February 2017
o Full Text
The many facets of community detection in complex
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...
T. Schaub, Jean-Charles Delvenne, Martin Rosvall and Renaud Lambiotte
Network Science 2017 2:4
on: 15 February 2017
Improved prediction of missing protein interactome links
via anomaly detection
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...
Veer Singh and Lovekesh Vig
Network Science 2017 2:2
on: 28 January 2017
Network reconstruction via density sampling
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...
Squartini, Giulio Cimini, Andrea Gabrielli and Diego Garlaschelli
Network Science 2017 2:3
on: 28 January 2017
Evolving network structure of academic institutions
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...
Wang, Mariam Avagyan and Per Sebastian Skardal
Network Science 2017 2:1
on: 19 January 2017
The global dynamical complexity of the human brain
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...
D. Arsiwalla and Paul F. M. J. Verschure
Network Science 2016 1:16
on: 30 December 2016
Quantifying the diaspora of knowledge in the last century
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...
De Domenico, Elisa Omodei and Alex Arenas
Network Science 2016 1:15
on: 29 November 2016
Supporting novel biomedical research via multilayer
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...
Kuzmin, Xiaoyan Lu, Partha Sarathi Mukherjee, Juntao Zhuang, Chris Gaiteri and
Boleslaw K. Szymanski
Network Science 2016 1:11
on: 17 November 2016
Manifold learning and maximum likelihood estimation for
hyperbolic network embedding
Popularity-Similarity (PS) model sustains that clustering and hierarchy,
properties common to most networks representing complex systems, are the result
of an optimisation process in which nodes seek to fo...
Alanis-Lobato, Pablo Mier and Miguel A. Andrade-Navarro
Network Science 2016 1:10
on: 15 November 2016
Social network analysis of the biblical Moses
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...
Network Science 2016 1:13
on: 14 November 2016
Comparison method for community detection on brain
networks from neuroimaging data
brain is a complex system consisting of regions dedicated to different brain
functions, and higher cognitive functions are realized via information flow
between distant brain areas communicating with each ...
Taya, Joshua de Souza, Nitish V. Thakor and Anastasios Bezerianos
Network Science 2016 1:8
on: 16 August 2016
Walls-in-one: usage and temporal patterns in a social
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...
Zignani, Azadeh Esfandyari, Sabrina Gaito and Gian Paolo Rossi
Network Science 2016 1:5
on: 11 July 2016
When face-tracking meets social networks: a story of
politics in news videos
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 ...
Renoust, Tetsuro Kobayashi, Thanh Duc Ngo, Duy-Dinh Le and Shin’Ichi Satoh
Network Science 2016 1:4
on: 1 June 2016
Menezes and Hocine Cherifi
Network Science 2016 1:1
on: 1 June 2016