This thesis seeks to combine two different research topics; Multi-Objective Optimization and Complex Network Analysis.

Thanks to data science, we can chart and search enormous quantities of related information. This generates all kinds of new insights, for example in complex global financial structures or such societal problems as loneliness.

The current study focuses on Walpole’s social network and the language as contained in the letters of the network members.

With textnets it is possible to visualize and analyze textual data in novel ways.

Analytical tools for environmental design and management in a systems perspective. The combined use of analytical tools.

Networks play an important role in various studies, ranging from analysing epidemics in human populations to studying connectivity in electrical circuits. Vincent Traag contributes to the development of igraph, a popular package for analysing large networks.

How can citizen science be used to communicate and provide data for social network analysis?

Modelling supra-regional communities in the early 3rd Millennium BC

This dissertation studies how domestic regulatory agencies and the officials representing them are influenced by and deal with the increasingly complex transnational environments in which they have come to operate. Based on (social) network analysis it demonstrates how decisions of domestic agencies…

Which adolescents are more at risk of developing social anxiety disorder later in life?

The focus of this programme is the inter-community social relationships and transformations of island networks in the Lesser Antilles across the historical divide.

Tracing the residues of Neolithic activities through the study of stone artefacts

The recent terrorist attacks in Europe are presumably not just acts committed by individuals, but acts facilitated by larger jihadist networks. But how do such networks operate? Understanding their modus operandi can be useful knowledge to counter terrorist threats.

... which focuses on the development and use of new multivariate statistical tools needed for analyses of data collected in the four other programs.

How do we address the pressing challenges posed by large-scale networks?

This study examines recovery planning committees across Japan's Tohoku region.

The Leiden Complex Networks Network (LCN2) aims at bringing together scientists from different disciplines, based on a common interest in both theoretical models and empirical analyses of networks and graphs.

The LLC is a network organisation with various national and international partners in academia and public, private and social organisations.

For many system in statistical physics the microcanonical and canonical ensemble are equivalent in the thermodynamic limit, but not for all.

This interdisciplinary community aims to facilitate tight collaboration between all faculties of Leiden University on the subject of Artificial Intelligence. The Future of AI is Bright!

Below you can find lists of Leiden-based and international organizations working on Central Asia, and an overview of useful resources on Central Asia.

The ‘Food citizens?’ project is assisted by an advisory board, consisting of academics and stakeholders.

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LeiCenSAA is dedicated to the study of Ancient Arabia and the sharing of knowledge and expertise on this topic. Thefore it aims to collaborate closely with other research in the field.

The Leiden University Sustainability Network is the platform for Leiden University staff to combine their efforts and support each other in making our university more sustainable.

The LGBT+ Network offers a platform for all lesbian, gay, bisexual, transgender and queer staff and students at Leiden University.

Lecture

This thesis develops statistical methods for the analysis of high dimensional data: high dimensional networks reconstruction (Chapters 1-4), incorporation of prior information in networks reconstruction (Chapters 2-4), incorporation of prior knowledge in genetic association studies (Chapter 3).

This dissertation consists of two parts, with the common theme

Both within Leiden University and in the external partner universities PhD-research is conducted which is directly or indirectly related to regional integration.

Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek

Below you can find an overview of our network.

Scientists often need to make sense of complex systems without knowing the important parameters or even without access to all the information. A collaboration of network theorists, including Diego Garlaschelli (IMT Lucca/Leiden), has now published a review article in the inaugural issue of Nature Reviews…

PhD Defence

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How and under what conditions Dutch primary school principals' managerial networking activities affect the performance of their school

LIAS researchers working in the field of linguistics hold dual appointments in LIAS and the Leiden University Centre for Linguistics (LUCL).

The research of our group is centered around dynamical systems, functional analysis and their interplay.

The research of this programme is centered around dynamical systems, functional analysis, and their interplay.

In this thesis, we extend the concept of null models as canonical ensembles of multi-graphs with given constraints and present new metrics able to characterize real-world layered systems based on their correlation patterns.

Leiden University is a member of several international research and education networks.

Analysis of neuroimaging data requires multiple steps where statistics play a crucial role. The MRI methods research group develops new statistical methods that are accurate, transparent and easy to use.

Promotor: R. Tijdeman, Co-promotor: H.J.J. te Riele

The Institute of Environmental Sciences has carried out and participates in several projects that deal with the analysis of energy systems.