Triggered by advances in data gathering technologies, the use of statistical analyzes, predictions and modeling techniques in sports has gained a rapidly growing interest over the last decades. Today, professional sports teams have access to precise player positioning data and sports scientists...

We employ a detailed two-stage model to simulate the operation of the Central Eastern European electricity market and network. Implementing different cases of coordination in congestion management between national transmission system operators, numerical results show the beneficial impact of...

The study of random graphs has become very popular for real-life network modeling, such as social networks or financial networks. Inhomogeneous long-range percolation (or scale-free percolation) on the lattice Zd, d Ï 1, is a particular attractive example of a random graph model because it...

Studies on open innovation (OI) have highlighted the importance of inter-organizational knowledge networks. However, little is known about OI networks established by family firms, and their roles in such knowledge networks. By focusing on one of the most important Italian footwear clusters, this...

This study seeks to disentangle the human capital and the social capital of directors to improve our understanding of the value that directors bring to their boardroom. Employing social network analysis (SNA) to measure the social capital of directors and using a unique and comprehensive sample...

Social entrepreneurship plays an important role in the maintenance of economic prosperity and brings benefits to society. The role of social entrepreneurship is growing in the light of challenges of the global economy, increasing uncertainty of the environment, the growth of social problems, and...

This paper sheds light on the complex recovery governance in Ukraine by providing a snapshot of the evolving national recovery actors' networks and examining them within a multi-level governance framework, using interviews, social network analysis, and a sense-making workshop. It highlights the...

The development and application of models, which take the evolution of network dynamics into account, are receiving increasing attention. We contribute to this field and focus on a profile likelihood approach to model time-stamped event data for a large-scale dynamic network. We investigate the...

Coastal cities are exposed to high risks due to climate change, as they are potentially affected by both rising sea levels and increasingly intense and frequent coastal storms. Socio-economic drivers also increase exposure to natural hazards, accelerate environmental degradation, and require...

This paper seeks to understand the structure of corporate networks in the period following the dissolution of Deutschland AG ("Germany Inc."). For this purpose, affiliation networks among chief executive officers (CEOs) that are based on common membership in various societal organizations will...