Articles

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. ...

Authors: Giuseppe Primiero, Franco Raimondi, Michele Bottone and Jacopo Tagliabue

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 ...

Authors: Gianni Fenu, Pier Luigi Pau and Danilo Dessì

The gradual evolution of buyer–seller networks and their role in aggregate fluctuations

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

Dynamic correlation network analysis of financial asset returns with network clustering

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...

Authors: Takashi Isogai

Financial market predictability with tensor decomposition and links forecast

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...

Authors: A. Spelta

Robustness and efficiency in interconnected networks with changes in network assortativity

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

Analyzing the coevolution of interorganizational networks and organizational performance: Automakers’ production networks in Japan

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

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...

Authors: Michael T. Schaub, Jean-Charles Delvenne, Martin Rosvall and Renaud Lambiotte

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...

Authors: Tiziano Squartini, Giulio Cimini, Andrea Gabrielli and Diego Garlaschelli

Improved prediction of missing protein interactome links via anomaly detection

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...

Authors: Kushal Veer Singh and Lovekesh Vig

Evolving network structure of academic institutions

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

The global dynamical complexity of the human brain network

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

Quantifying the diaspora of knowledge in the last century

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

Untangling the role of diverse social dimensions in the diffusion of microfinance

Ties between individuals on a social network can represent different dimensions of interactions, and the spreading of information and innovations on these networks could potentially be driven by some dimension...

Authors: Elisa Omodei and Alex Arenas

Supporting novel biomedical research via multilayer collaboration networks

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

Analysing successful public spaces in an urban street network using data from the social networks Foursquare and Twitter

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

Manifold learning and maximum likelihood estimation for hyperbolic network embedding

The 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...

Authors: Gregorio Alanis-Lobato, Pablo Mier and Miguel A. Andrade-Navarro

Social network analysis of the biblical Moses

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

Compile- and run-time approaches for the selection of efficient data structures for dynamic graph analysis

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

Comparison method for community detection on brain networks from neuroimaging data

The 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 ...

Authors: Fumihiko Taya, Joshua de Souza, Nitish V. Thakor and Anastasios Bezerianos

Building a dynamic correlation network for fat-tailed financial asset returns

In this paper, a novel approach to building a dynamic correlation network of highly volatile financial asset returns is presented. Our method avoids the spurious correlation problem when estimating the dynamic...

Authors: Takashi Isogai

Disconnected, fragmented, or united? a trans-disciplinary review of network science

During decades the study of networks has been divided between the efforts of social scientists and natural scientists, two groups of scholars who often do not see eye to eye. In this review I present an effort...

Authors: César A. Hidalgo

Walls-in-one: usage and temporal patterns in a social media aggregator

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

When face-tracking meets social networks: a story of politics in news videos

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

Towards a standard sampling methodology on online social networks: collecting global trends on Twitter

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

Retweet networks of the European Parliament: evaluation of the community structure

Analyzing information from social media to uncover underlying real-world phenomena is becoming widespread. The goal of this paper is to evaluate the role of Twitter in identifying communities of influence when...

Authors: Darko Cherepnalkoski and Igor Mozetič

Editorial

Authors: Ronaldo Menezes and Hocine Cherifi