Xerxes D Arsiwalla,Paul F M J Verschure
Xerxes D Arsiwalla
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 meaningfully coupled to brain functio...
Manlio De Domenico,Elisa Omodei,Alex Arenas
Manlio De Domenico
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 - evolved across time is still poorl...
Untangling the role of diverse social dimensions in the diffusion of microfinance [0.03%]
解开社会维度在微金融扩散中所起作用的谜题
Elisa Omodei,Alex Arenas
Elisa Omodei
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 dimensions more than by others. In this ...
Steven E Massey
Steven E Massey
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 and Deuteronomy. The potential va...
Analysing successful public spaces in an urban street network using data from the social networks Foursquare and Twitter [0.03%]
基于Foursquare和Twitter数据的城市街道网络中成功公共空间的分析
Taras Agryzkov,Pablo Martí,Almudena Nolasco-Cirugeda et al.
Taras Agryzkov et al.
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 represent plazas. A centrality ...
Supporting novel biomedical research via multilayer collaboration networks [0.03%]
基于多层协作网络支持新型生物医学研究
Konstantin Kuzmin,Xiaoyan Lu,Partha Sarathi Mukherjee et al.
Konstantin Kuzmin et al.
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 increasing majority of research f...
Manifold learning and maximum likelihood estimation for hyperbolic network embedding [0.03%]
流形学习和双曲网络嵌入的最大似然估计
Gregorio Alanis-Lobato,Pablo Mier,Miguel A Andrade-Navarro
Gregorio Alanis-Lobato
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 form ties, not only with the most...
Compile- and run-time approaches for the selection of efficient data structures for dynamic graph analysis [0.03%]
动态图分析中有效数据结构选取的编译时和运行时方法研究
Benjamin Schiller,Clemens Deusser,Jeronimo Castrillon et al.
Benjamin Schiller et al.
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 high frequency, performance is the...
Comparison method for community detection on brain networks from neuroimaging data [0.03%]
基于神经影像数据的脑网络社区检测方法比较
Fumihiko Taya,Joshua de Souza,Nitish V Thakor et al.
Fumihiko Taya et al.
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 other. As such, it is natural t...
Building a dynamic correlation network for fat-tailed financial asset returns [0.03%]
构建金融资产收益厚尾动态相关网络
Takashi Isogai
Takashi Isogai
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 correlation matrix of financia...