Alexander Grimm,Claudio J Tessone
Alexander Grimm
Many bipartite and unipartite real-world networks display a nested structure. Examples pervade different disciplines: biological ecosystems (e.g. mutualistic networks), economic networks (e.g. manufactures and contractors networks) to finan...
Predicting stock market movements using network science: an information theoretic approach [0.03%]
基于网络科学和信息理论的股票市场预测研究
Minjun Kim,Hiroki Sayama
Minjun Kim
A stock market is considered as one of the highly complex systems, which consists of many components whose prices move up and down without having a clear pattern. The complex nature of a stock market challenges us on making a reliable predi...
The evolving network of labor flows in the Stockholm Region: Sector dynamics, connectivity and stability [0.03%]
斯德哥尔摩地区劳动力流动网络的演变：部门动态、关联性和稳定性
Hernan Mondani
Hernan Mondani
Evolutionary theories of organizational change aim at finding processes that introduce structural variations in organizational variables and the conditions under which they can survive and be reproduced. However, the theory is limited by th...
Network science approach to modelling the topology and robustness of supply chain networks: a review and perspective [0.03%]
从网络科学角度审视供应链网络的拓扑和鲁棒性模型：回顾与展望
Supun Perera,Michael G H Bell,Michiel C J Bliemer
Supun Perera
Due to the increasingly complex and interconnected nature of global supply chain networks (SCNs), a recent strand of research has applied network science methods to model SCN growth and subsequently analyse various topological features, suc...
Categorisation of polyphonic musical signals by using modularity community detection in audio-associated visibility network [0.03%]
基于音频关联可见性网络的模块度社区检测的和声音乐信号分类
Dirceu de Freitas Piedade Melo,Inacio de Sousa Fadigas,Hernane Borges de Barros Pereira
Dirceu de Freitas Piedade Melo
This article proposes a method to numerically characterise the homogeneity of polyphonic musical signals through community detection in audio-associated visibility networks and to detect patterns that allow the categorisation of these signa...
Forbidden triads and creative success in jazz: the Miles Davis factor [0.03%]
禁用和弦与爵士乐的创新成功——迈尔士·戴维斯因素
Balazs Vedres
Balazs Vedres
This article argues for the importance of forbidden triads - open triads with high-weight edges - in predicting success in creative fields. Forbidden triads had been treated as a residual category beyond closed and open triads, yet I argue ...
Online community management as social network design: testing for the signature of management activities in online communities [0.03%]
在线社区管理作为社会网络设计：检测线上社区中管理活动的特征
Alberto Cottica,Guy Melançon,Benjamin Renoust
Alberto Cottica
Online communities are used across several fields of human activities, as environments for large-scale collaboration. Most successful ones employ professionals, sometimes called "community managers" or "moderators", for tasks including onbo...
A multiplex network approach for the analysis of intracranial pressure and heart rate data in traumatic brain injured patients [0.03%]
创伤性脑损伤患者颅内压和心率数据的多路复用网络分析方法
Giovanna Maria Dimitri,Shruti Agrawal,Adam Young et al.
Giovanna Maria Dimitri et al.
Background: We present a multiplex network model for the analysis of Intracranial Pressure (ICP) and Heart Rate (HR) behaviour after severe brain traumatic injuries in pediatric patients. The ICP monitoring is of vital im...
Can local-community-paradigm and epitopological learning enhance our understanding of how local brain connectivity is able to process, learn and memorize chronic pain? [0.03%]
地方社区范式和极拓扑学习能否增强我们对局部脑连接如何处理、学习和记忆慢性疼痛的理解？
Vaibhav Narula,Antonio Giuliano Zippo,Alessandro Muscoloni et al.
Vaibhav Narula et al.
The 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. Nowadays, studying patterns of in...
A graph exploration method for identifying influential spreaders in complex networks [0.03%]
一种识别复杂网络中核心节点的图遍历方法
Nikos Salamanos,Elli Voudigari,Emmanuel J Yannakoudakis
Nikos Salamanos
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 acceleration of information diffus...