Based on the network attention data of Douyin's fans, this article analyzes the spatial heterogeneity and driving factors of network attention to 5A-level tourist attractions in China using rank-size, kernel density, and nearest neighbor index. The results show that: (1) From the perspective of...

Achieving a reduction in global greenhouse gas (GHG) emissions requires collaborative efforts from the international community; however, a comprehensive understanding of the spatiotemporal characteristics (i.e., complex emission networks and driver patterns) and the mutual influence of gross...

It is essential to comprehend the feature and improvement path that supports the resilience of innovation networks under multiple crisis shocks. Studies have primarily examined the impact of network features on sustainable innovation outcomes yet overlooked the inter-organisational resilience...

The vulnerability of the global financial system to systemic risk-related adverse events has become more evident in recent years, as shown by the 2008 financial crisis and the global pandemic. This study examines systemic risk and its contributing factors using network analysis to understand how...

In this paper we construct a bipartite network model for the Maltese banking sector and identify communities of banks based on overlapping credit exposures. By leveraging confidential supervisory bank-level data on total exposures, we identify four distinct bank clusters and compute relevant...

Innovation is necessary yet challenging for local governments. This paper focuses on gender sensitivity in public transportation in major cities in Israel, as an example of organizational innovation, with the goal of identifying the factors that impede innovation in local government and the...

Personal relationships have historically been a significant influence in Thai culture, extending into national politics. Ties between members of the Senate and the House of Representatives through various networks are good examples of this observation. Academic research has suggested that such...

The growing geopolitical tensions and regional instabilities in Eurasia raise urgent questions about the resilience of trade routes and infrastructure connectivity. This paper applies a graphbased approach to model the EU-Asia trade network and explores Armenia's potential as a transit hub...

Distribution grids are critical for the energy transition: with the majority of future assets to be connected at the distribution-grid level, the decentralization and decarbonization of the energy system depend on strong and future-ready electricity distribution networks. This study gathers and...

Payments technologies pose an economic dilemma: network effects can lead to a small number of dominant platforms, but efforts to increase choice can risk market fragmentation. We examine whether interoperability can help resolve this tension, using data from India's Unified Payments...

The impact of current changes in technology, society, and the environment demand innovative research approaches that can accurately capture the increasing complexity of modern geographic data. To this end, this article provides an introduction to the use and implementation of spatial network...

In the burgeoning field of anomaly detection within attributed networks, traditional methodologies often encounter the intricacies of network complexity, particularly in capturing nonlinearity and sparsity. This study introduces an innovative approach that synergizes the strengths of graph...

This study examines the evolution of public debt among the 27 EU member states using Graph Theory tools; the Threshold Weighted-Minimum Dominating Set (TW-MDS) and the k-core decomposition method, alongside a standard network quantitative metric, the density. By separating the data into three...

In this paper, we investigate the classical Axelrod model of cultural dissemination under an adaptive network framework. Unlike the original model, we place agents on a complex network, where they cut connections with any agent that does not share at least one cultural trait. This rewiring...

The primary objective of this empirical study is to investigate the Indian equity market network by analyzing its topological properties using the disparity filtering technique, and a minimum spanning tree. It investigates the backbone structure of the reduced weighted equity network and...

This paper develops a mathematical framework to study signal networks, in which nodes can be active or inactive, and their activation or deactivation is driven by external signals and the states of the nodes to which they are connected via links. The focus is on determining the optimal number of...

The rapid evolution of digital transformation necessitates a comprehensive understanding of national digital readiness. The Network Readiness Index (NRI) serves as a key benchmark for assessing a country's preparedness to leverage digital technologies for economic and societal development. This...

We study static binary coordination games with random utility played on networks. In equilibrium, each agent chooses an action only if a fraction of her neighbors choosing the same action is higher than an agent‐specific i.i.d. threshold. A fuzzy convention x is a profile where (almost) all...

This edition of the EU CAP Network magazine focuses on the economic, social and environmental dimensions of climate adaptation, highlighting the role of networking in supporting sustainable agriculture and rural responses to climate change.