A Tensor-Based Framework for Studying Eigenvector Multicentrality in Multilayer Networks

Centrality is widely recognized as one of the most critical measures to provide insight in the structure and function of complex networks. While various centrality measures have been proposed for single-layer networks, a general framework for studying centrality in multilayer networks (i.e., multicentrality) is still lacking. In this study, a tensor-based framework is introduced to study eigenvector multicentrality, which enables the quantification of the impact of interlayer influence on multicentrality, providing a systematic way to describe how multicentrality propagates across different layers. This framework can leverage prior knowledge about the interplay among layers to better characterize multicentrality for varying scenarios. Two interesting cases are presented to illustrate how to model multilayer influence by choosing appropriate functions of interlayer influence and design algorithms to calculate eigenvector multicentrality. This framework is applied to analyze several empirical multilayer networks, and the results corroborate that it can quantify the influence among layers and multicentrality of nodes effectively.Comment: 57 pages, 10 figure

Political and Economic Prerequisites for The Emergence of The Chinese Strategy “Belt and Road” In Asia-Europe

China's Belt and Road Initiative has now become a global, inclusive project. But there are still many problems. The article attempts to find out the motives of China in this project. The article focuses on the motives (prerequisites) that prompted China to create such a capital-intensive global initiative

Examining information sharing in Enterprise 2.0: Applying theory of attachment

With its immense potential for enriching communication, promoting information sharing, enabling collaboration and improving job performance, Enterprise 2.0 becomes one of the most promising technological innovations in the business domain. Although，more and more firms are implementing Enterprise 2.0 to promote knowledge sharing and collaboration among employees in recent years. There is only a few empirical research has been performed to identify individuals’ information sharing through Enterprise 2.0. The high practical relevance and lack of research indicate the importance of this study. This study aims to apply the Attachment Theory to propose a research model that incorporates eight variables to predict individuals’ willingness of information sharing through Enterprise 2.0 applications. To test the model, structural equation modelling is employed to analyse data collected from respondents who have experience of using Enterprise 2.0 in a top-raking Chinese Internet survey platform. The findings of this research provide application designer and firm managers with effective methods to promote individuals’ willingness of information sharing through Enterprise 2.0.This research also provides a theoretical foundation for academics and practical implications for the development of Enterprise 2.0

Research on source location of micro-seismic event ‎based on dynamic cluster velocity model

A new velocity model based on dynamic cluster was proposed in this paper. During the process ‎of iteration, the sensors can be formed a cluster according to the velocity similitude degree. ‎Based on the assumption that the speeds from source to each sensor in the same cluster are ‎equal, the corresponding objective function was proposed to solve the source location, which ‎didn’t include the velocity parameter. It not only avoided the error from field measurement ‎and the inversion, but also appropriated for the actual situation that the speeds from every ‎source to different sensors are different. By analyzing 24 different cases, the positioning ‎accuracy based on the velocity model proposed in this paper was verified to be preferable and ‎stable, no matter the source is within the region of the sensor’s array or not. Even for the cases ‎of different velocity variation ranges, the velocity model was still reliable.

Is "Postdenominational" Christianity Possible? : Ecclesiology in the Protestant Church of China

Peer reviewe

Predictive assembling model reveals the self-adaptive elastic properties of lamellipodial actin networks for cell migration

Branched actin network supports cell migration through extracellular microenvironments. However, it is unknown how intracellular proteins adapt the elastic properties of the network to the highly varying extracellular resistance. Here we develop a three-dimensional assembling model to simulate the realistic self-assembling process of the network by encompassing intracellular proteins and their dynamic interactions. Combining this multiscale model with finite element method, we reveal that the network can not only sense the variation of extracellular resistance but also self-adapt its elastic properties through remodeling with intracellular proteins. Such resistance-adaptive elastic behaviours are versatile and essential in supporting cell migration through varying extracellular microenvironments. The bending deformation mechanism and anisotropic Poisson’s ratios determine why lamellipodia persistently evolve into sheet-like structures. Our predictions are confirmed by published experiments. The revealed self-adaptive elastic properties of the networks are also applicable to the endocytosis, phagocytosis, vesicle trafficking, intracellular pathogen transport and dendritic spine formation