Fairness Aware Influence: Study of relationship between node network properties and FAI in complex networks

This thesis introduces the concept of Fairness Aware Influence (FAI), which is dependent on prevalence and fairness. Prevalence of a given seed node is the number of infected nodes. Fairness can be defined differently based on the application or problem statement. In this case, the fairness is defined as the variation in the fraction of...

Temporal Analysis of Accessibility Using Complex Network Theory

Urban areas are evolving in terms of their growing population and their developing systems and infrastructure. This evolution brings about concerns regarding social equity, which refers to the fairness of distribution of certain attributes to groups or individuals. Transport equity is one of the dimensions of this issue, and accessibility...

Non-Consensus Opinion Models with Byzantine Nodes

Opinion dynamics models study how the interaction among people influences the opinion formation process. In most opinion dynamics models, only one opinion could exist in the steady state, which is different from the real-life opinion formation process. In 2009, Shao \emph{et al.} introduced a non-consensus opinion (NCO) model, which allows...

Node Survivability and Dynamics of the Dutch Municipality Network

This thesis’ research concerns the time-dynamics of a complex geographical network of municipalities, i.e. the Dutch Municipality Network over the period 1830-2019. By analysing 190 years of socioeconomic statistical data and applying contemporary tooling from network science and geographic information systems (GIS), the findings from this...

Shallow Cumulus Clouds as Complex Networks

Clouds, specifically shallow clouds, are known as a major source of uncertainty in global climate models. Shallow clouds over the global oceans show different spatial patterns and organizations that may be influenced by climate change. Besides, the frequency of these patterns can change the climate feedback of marine clouds in the subtropics....

Riverine flood risk screening with a simple network-based approach: A proof of concept in the Ganghes-Brahmaputra basin

Floods cause major problems around the world. Over 35 million people were affected by floods in 2018. They have a growing worldwide impact on life and property. Changes in climate conditions lead to unanticipated variations in glacial runoffs, snowmelt and precipitation, which all significantly changing river flows. An imbalance in river network...

Topological characterizing and clustering of public transport networks

Public transport networks (PTNs) have an impact on both travelers’ behavior and system operations. A meaningful approach to investigate PTNs is via their topological structure because it was found to be correlated to the operational performance, the total ridership, consumer experience, passenger flow distribution, and network resilience. A...

Diffusion based temporal network embedding for link prediction

Link prediction in complex networks has attracted increasing attention. The link prediction algorithms can be used to retrieve missing information, identify spurious interactions, capturing net- work evolution, and so on. Recently, network embedding has been proposed as a new strategy to embed network into low-dimensional vector space. By...

Structure and dynamics of complex networks: Network epidemics and a geometric robustness measure

As new technologies continue to find their way into everyday life, the world becomes more and more connected. Airplanes and other means of transportation provide global connections in the physical world, while the omnipresence of the Internet means that information is shared around the globe, easier than ever before. But not only these man-made...

Design, Analysis and Experimental Evaluation of a Distributed Community Detection Algorithm

Complex networks are a special type of graph that frequently appears in nature and in many different fields of science and engineering. Studying complex networks is the key to solve the problems in these fields. Complex networks have unique features which we cannot find in regular graphs, and the study of complex networks gives rise to many...

Combining theories and techniques to model the decision-making behavior of homeowners: Formalization of an agent-based model to study the adoption and diffusion of solar PV systems in the Netherlands

The aim of this thesis is to define the specifications of an agent-based model to study the adoption and diffusion of solar PV in the Netherlands, accounting for consumer preferences and social influences. The conceptualization of the model is based on five pillars: agent-based modeling, the theory of planned behavior, choice modeling, dif-...

Dynamic improvement of robustness of power transmission grids in decentralized and distributed environments

Power transmission networks are large scale complex distributed and networked systems, situated in dynamic environments. Managing such systems is essentially decentralized and distributed. The main function of power transmission grids is to assure the security and reliability of the network and to avoid blackouts. Key elements that can determine...

Vulnerability of Power Grids to Cascading Failures

Power sector vulnerability has been a key issue in society for over a decade. A component failure may trigger cascades of failures across the grid and lead to a large blackout. Complex Network approaches have shown a direction to study some of the problems faced by power grids and it is a continuing challenge thus far. Power grids have been...

Modelling the Dynamic Nature of Networks, Enabling Smart Living

Holons are universal and omni-present. They are organized in holarchies (hierarchical networks). Networks change continuously over time. At the aggregation level of the Sector Network and of the Telecom Network, diverse drivers cause changes. To provide for a better quality of life, trans-sector orchestration of change is required. Therefore, it...

Evolving Properties of Growing Networks

Complex networks describe a wide range of systems and structures in the world. Any real network can be modeled as graph, expressed by an adjacency matrix or list. In many complex networks, when a graph of a certain type grows in size, its properties are expected to change. Each complex network presents specific topological features which...