We examine friendships and study partnerships among university students over several years. At the aggregate level, connections increase over time, but homophily on gender and ethnicity is relatively constant across time, university residences, and different network layers. At the individual...

We consider a productive network formed by agents with heterogeneous privately-known productivity types. Under convex cost of link formation, bilateral links create endogenous externalities. We calculate the "rearrangement cost" imposed on the entire network by each subset of other agents an...

Think tanks' role as development policy entrepreneurs and lobbyists is well recognised. Like NGOs, think tanks have also acted as classical intellectual labour cofounded by local and international agencies. This research examines organisational network of Indonesian think tanks. This study aims...

Expert networks provide investors with in-depth discussions with subject matter experts. Expert call demand is higher for younger, technology-oriented firms and those with greater intangible assets, consistent with demand for information on hard-to-value firms. Expert calls are more (less)...

In the past, both researchers and policymakers have often underlined the important role cities have to play in reaching the objectives of the Paris Agreement and the 17 Sustainable Development Goals (SDGs). Meanwhile, city networks have become increasingly active in approaching international...

This paper questions the dynamic stability of supplier-buyer networks. We investigate a simple rewiring process, by which firms change suppliers if it increases profit, within an otherwise classical production network model with market clearing, profit-maximization, and complete information. We...

Based on the input-output table and the supplier-customer data disclosed by the listed companies in China, this paper builds China's production network on both industry level and firm level. We describe the characteristics of such network using various network indexes and obtain the following...

This study aims to examine the impact of influential factors on the global trade network through long-term and short-term network analysis based on time slices. The long-term analysis examines the overall network characteristics, key players, and the most impactful events. In particular, the...

We examine friendships and study partnerships among university students over several years. At the aggregate level, connections increase over time, but homophily on gender and ethnicity is relatively constant across time, university residences, and different network layers. At the individual...

We study how international trade networks react to natural disasters. We combine exhaustive firm-to-firm trade credit and disaster data and use a dynamic difference-indifferences identification strategy. We establish the causal effect of natural disasters abroad on the size, shape and quality of...

This paper introduces a simulation algorithm for evaluating the log-likelihood function of a large supermodular binary-action game. Covered examples include (certain types of) peer effect, technology adoption, strategic network formation, and multi-market entry games. More generally, the...

We analyze the relationships within the liquid fuels system and its associated supply chain using innovative network filtering methods, namely the Minimum Spanning Tree and Triangulated Maximally Filtered Graph. Our findings reveal that biofuels form robust connections with their feedstocks that...

We study how author-editor and author-reviewer network connectivity and "match" influence editor decisions and reviewer recommendations of economic research at the Journal of Human Resources. Our empirical strategy employs several dimensions of fixed effects to overcome concerns of endogenous...

The connections and volatilities of financial institutions are important features in studies on the financial market. Based on the tail-event-driven networks reflecting the risk interdependence between financial institutions, we introduce quantile regression to achieve the dynamic ranking of...

The multicommodity network flow problem is a classical issue in network optimization, where the objective is to route multiple commodities through interconnected nodes and arcs to minimize the overall flow cost. However, in practical scenarios, parameters such as arc capacities, node demands,...

Traditional conceptions of learning focus on the formal learning that occurs in contexts such as school and higher education. These however form only part of the learning experience for any individual. Indeed for adults, most learning will occur outside formal contexts either informally or...

By design, the Bitcoin protocol has a low throughput. The Lightning Network (LN) is a layer-two solution built to increase throughput by cryptographically securing commitments to transactions and only occasionally converting cumulative balances into on-chain transactions. LN channels enable...

The research investigates adaptive governance for blockchain networks within the context of legal resilience by looking at the current regulatory trend in two major jurisdictions, the European Union and the United States of America. The paper sets the current stands of blockchain networks and...

The composability and anonymity of participants in Decentralized Finance pose significant challenges in understanding their interactions and the buildup of risk within the network. We map the interconnections among decentralized finance protocols using transactions among contracts and addresses,...