The innovation ecosystem of the new energy vehicle industry is highly complex and spans several sectors; it important to increase resistance network. This paper explores regional resilience in context China’s industry. Using patent cooperation data from 2011 2021, we construct a three-stage urban collaborative network analyze its structural characteristics. We also develop evaluation index syst...

Digital development offers groundbreaking opportunities for environmental monitoring and protection, as well maintaining the overall health of planet. Through judicious use, global sustainability can be promoted. This study constructs a green innovation network using patent data listed companies new energy vehicles empirical evidence. The influence structure on performance is analyzed, indicato...

In the road infrastructure sector, public–private partnership (PPP) projects involve implementation of project finance principles through signing a long-term contract between public authority and group sponsors assembled in special purpose vehicle (SPV). However, although PPP play very important role SPV formation, literature does not provide sufficient information to permit detailed understand...

Exponential-family models for dependent data have applications in a wide variety of areas, but the dependence often results in an intractable likelihood, requiring either analytic approximation or MCMC-based techniques to fit, the latter requiring an initial parameter configuration to seed their simulations. A poor value can lead to slow convergence or outright failure. The approximate techniqu...

In this article, we demonstrate a statistical method for fitting the parameters of a sophisticated network and epidemic model to disease data. The pattern of contacts between hosts is described by a class of dyadic independence exponential-family random graph models (ERGMs), whereas the transmission process that runs over the network is modeled as a stochastic susceptible-exposed-infectious-rem...

Motivated by overcoming the existing utility-based choice modeling approaches, we present a novel conceptual framework of multidimensional network analysis (MNA) for modeling customer preferences in supporting design decisions. In the proposed multidimensional customer–product network (MCPN), customer–product interactions are viewed as a socio-technical system where separate entities of ‘custom...

Species composition and habitats are changing at unprecedented rates in the world's oceans, potentially causing entire food webs to shift to structurally and functionally different regimes. Despite the severity of these regime shifts, elucidating the precise nature of their underlying processes has remained difficult. We address this challenge with a new analytic approach to detect and assess t...

Bipartite networks, also known as two-mode networks or affiliation are a class of in which actors objects partitioned into two sets, with interactions taking place across but not within sets. These omnipresent society, encompassing phenomena such student-teacher interactions, coalition structures and international treaty participation. With growing data availability proliferation statistical es...

Innovation is the engine for sustainable development of cities and regions, an innovation perspective used to study collaborative relationship between regional evolution mechanism network formation. Based on social analysis method spatial method, we explore characteristics research cooperation its pattern, as well analyze formation using exponential random graph model. The finds that scale expa...

Mobility of individuals between a wide variety geographic locations, social positions, or roles is frequently analysed in the sciences. In recent research, mobility has increasingly been conceptualised as network. For example, residential mobility, when move neighbourhoods city, can be understood network which are nodes that tied by counts mobile from one neighbourhood to another. Understanding...