Lezing

LCN2 Seminar on Mining Large-scale Corporate Networks

Frank Takes

Datum: vrijdag 29 januari 2016
Tijd: 16:00 uur
Locatie: Huygens
Niels Bohrweg 2
2333 CA Leiden
Zaal: HL 214

We have the pleasure of drawing your attention to a scientific talk that might be of interest to you, on "Mining Large-scale Corporate Networks", given by Dr. Frank Takes, whose position is shared between the Leiden Institute of Advanced Computer Science (LIACS) and the Amsterdam Institute for Social Science Research (AISSR).

Mining Large-scale Corporate Networks

Abstract: Corporate networks model the relationships between firms in our economy. Examples of such relationships include ownership ties (firm A owns firms B) or board interlock ties (linking firms based on shared senior level directors). This talk considers the global corporate network, demonstrating results of different studies in which the connectedness of the largest 1 million firms across the globe is investigated. Topics include data quality implications, network topology, centrality analysis and community detection. The results provide interesting insights in the world's most powerful countries and firms, as well as patterns illustrating the network structure of tax havens.

This will be the eighth in a series of seminars organized within an ongoing scientific initiative called "Leiden Complex Networks Network (LCN2), which aims at bringing together scientists with a common interest in both theoretical models and empirical analyses of complex networks and random graphs. The LCN2 community that is being established shares the approach of using networks for describing real-world complex systems and aims at developing related analytical and numerical methods, while also being open to other research approaches for studying complex systems. The talks are designed for a broad audience, allowing for constructive exchanges of ideas between scientists from different disciplines.

We are looking forward to seeing you at this eighth LCN2 seminar.

http://lcn2.leidenuniv.nl/seminars/