Benjamin Renoust,Vivek Claver,Jean-François Baffier
Benjamin Renoust
[This corrects the article DOI: 10.1007/s41109-017-0035-2.].
Published Erratum
Applied network science. 2017;2(1):27. DOI:10.1007/s41109-017-0045-0 2017
From free text to clusters of content in health records: an unsupervised graph partitioning approach [0.03%]
从健康记录中的自由文本到内容聚类：无监督图划分方法
M Tarik Altuncu,Erik Mayer,Sophia N Yaliraki et al.
M Tarik Altuncu et al.
Electronic healthcare records contain large volumes of unstructured data in different forms. Free text constitutes a large portion of such data, yet this source of richly detailed information often remains under-used in practice because of ...
An application of the Shapley value to the analysis of co-expression networks [0.03%]
谢普利值在基因共表达网络分析中的应用研究
Giulia Cesari,Encarnación Algaba,Stefano Moretti et al.
Giulia Cesari et al.
We study the problem of identifying relevant genes in a co-expression network using a (cooperative) game theoretic approach. The Shapley value of a cooperative game is used to asses the relevance of each gene in interaction with the others,...
δ-MAPS: from spatio-temporal data to a weighted and lagged network between functional domains [0.03%]
δ-MAPS：从时空数据到功能领域之间的加权滞后网络
Ilias Fountalis,Constantine Dovrolis,Annalisa Bracco et al.
Ilias Fountalis et al.
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 δ-MAPS; a method that identifies spatially contiguous and possibly overla...
A spatially heterogeneous network-based metapopulation software model applied to the simulation of a pulmonary tuberculosis infection [0.03%]
一种基于空间异质网络的元种群软件模型及其在肺结核感染模拟中的应用
Michael J Pitcher,Ruth Bowness,Simon Dobson et al.
Michael J Pitcher et al.
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 models that mimic the full range o...
Xiang Niu,Alaa Moussawi,Gyorgy Korniss et al.
Xiang Niu et al.
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 consequences such as global pandemic...
Co-occurrence simplicial complexes in mathematics: identifying the holes of knowledge [0.03%]
数学中的协同复形：知识洞识别
Vsevolod Salnikov,Daniele Cassese,Renaud Lambiotte et al.
Vsevolod Salnikov et al.
In the last years complex networks tools contributed to provide insights on the structure of research, through the study of collaboration, citation and co-occurrence networks. The network approach focuses on pairwise relationships, often co...
Data-driven visualization of multichannel EEG coherence networks based on community structure analysis [0.03%]
基于社区结构分析的多通道脑电相干网络的数据驱动可视化技术研究
Chengtao Ji,Natasha M Maurits,Jos B T M Roerdink
Chengtao Ji
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 frequency. Typical visualizations of...
Borut Sluban,Mojca Mikac,Petra Kralj Novak et al.
Borut Sluban et al.
Creating a map of actors and their leanings is important for policy makers and stakeholders in the European Commission's 'Better Regulation Agenda'. We explore publicly available information about the European lobby organizations from the T...
The orthographic similarity structure of English words: Insights from network science [0.03%]
英语单词的正字学相似结构：网络科学视角的新见解
Cynthia S Q Siew
Cynthia S Q Siew
Network science has been applied to study the structure of the mental lexicon, the part of long-term memory where all the words a person knows are stored. Here the tools of network science are used to study the organization of orthographic ...