Searched for: contributor%3A%22Wang%2C+H.+%28mentor%29%22
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Srivastava, Varnika (author)
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...
master thesis 2023
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Jin, Yuhui (author)
Wavelength Division Multiplexing (WDM) has been a widely-used multiplexing technique in large-scale optical telecommunication networks during the past few decades. Routing and Wavelength Assignment (RWA) is a fundamental process that involves determining the optimal path (routing) and assigning specific wavelengths to incoming data streams to...
master thesis 2023
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Jung-Muller, Mathieu (author)
Temporal networks, like physical contact networks, are networks whose topology changes over time. However, this representation does not account for group interactions, when people gather in groups of more than two people, that can be represented as higher-order events of a temporal network. The prediction of these higher-order events is usually...
master thesis 2023
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Bruyn, Tim (author)
This research is a case study investigating the effect of participation in the development process of a network-based scientist-journalist recommender system on the mental model of digital innovation of a team of communication professionals from Delft University of Technology and Naturalis Biodiversity Center.<br/> <br/>Communication...
master thesis 2023
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Veldhuijzen van Zanten, Daan (author)
In this thesis the performance of five CPT-based p-y models by Novello (1999), Dyson &amp; Randolph (2001), Li, et al. (2014) and Suryasentana &amp; Lehane (2014;2016) is assessed. This is done in part by comparing the measured load-deflection response from a set of lab- and field tests that is representative for offshore monopile structures to...
master thesis 2022
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Mao, Mao (author)
In real life, the phenomenon of delayed payment of invoices often occurs. Malicious delayed payment may even lead to the break of capital flow of companies. Debtor payment prediction according to the historical payment behaviour of debtors can help give companies more insight into the risk of late payment. The debtor payment prediction is...
master thesis 2022
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de Voogd, Rein (author)
Monopiles with large diameter (larger than 6 m) and low aspect ratio (less than 6) are increasingly used in offshore wind farms. These foundations demonstrate a rigid response under lateral loading. The validity of the existing design methods, that are based on small diameter flexible piles, has been questioned by both the industry and...
master thesis 2022
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Gobardhan, Rommy (author)
The study of epidemic spreading processes on contact based complex networks has gained a lot of traction in recent years. These processes can entail a variety of problems such as disease spreading, opinion spreading in social networks or even airport congestion in airline networks. One of the key tasks in this area of research and also of this...
master thesis 2021
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Overdevest, Lennart (author)
The value of data has increased enormously over the last couple of years. Many datasets contain valuable information that can, for example, be used to make forecasts. In this thesis, the dataset of a company in the self-storage industry is analyzed. The company offers customers rental storage facilities, such as lockers, rooms, containers at...
master thesis 2021
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Kostense, Bastijn (author)
The COVID-19 pandemic is influencing the Dutch economy heavily. More so, small and medium-sized enterprises, also known as SMEs, are notoriously unstable and as a result, could be even more heavily affected by the coronavirus outbreak. The first major lockdown in The Netherlands was instated on March 23, 2020, which introduced several new...
master thesis 2021
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Balasubramanian, Chitra (author)
Healthcare industry is an ever-emerging field in the 21st century. The statistics from Centers for Medicare services (CMS) [15] website shows that in 2017, in USA, the healthcare industry has invested USD 7.4 billion for research collaborations with physicians. These research collaborations in CMS is spread across multiple facets ranging from...
master thesis 2020
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Nikolopoulos, Dionysis (author)
There is an increasing attention towards link prediction in complex networks both in physical and computer science communities. Particularly Online Social Networks (OSNs) are<br/>becoming the most popular platforms for information sharing, content creation and communication between users on the Internet. However, most of the research was done...
master thesis 2019
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Andreas Christian Pangaribuan, Andreas (author)
Users may show a behavioral pattern in consuming the items. For example, one might assume that a user is interested in comedy movies when this user watches comedy movies frequently. Recommender systems are designed to understand the preference of a user from his interactions with the items and suggest items that correspond to his preference....
master thesis 2018
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Beker, B. (author), Brugsma, R. (author), Offerijns, J.F. (author)
Recommendation systems are algorithms that aim to predict what items are preferred by a user, based on a recorded history of user activity. Magnet.me is a company which recommends companies and opportunities to students. Potential algorithms for recommendation systems are memory-based and model-based coll aborative filtering, graph- based...
bachelor thesis 2017
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Arnason, B. (author)
The tremendous growth of the Internet brings with it a massive amount of data that users are exposed to on a daily basis. Consequently, information filtering techniques like recommender systems have become increasingly important to sift through the data and find what is relevant to a particular user. A recent approach for recommender systems,...
master thesis 2016
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Yu, Q. (author)
master thesis 2016
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Li, B. (author)
In a business network, a company may be encouraged to utilise a new technique when either its cooperators or its competitors have made their adoption. Nevertheless, its willingness can be reduced as more of its competitors start applying the new technique. Inspired by the this scenario, in this thesis we proposed a viral spreading model in...
master thesis 2016
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Chen, C. (author)
The pervasiveness of the Internet and smartphones enables individuals to participate in online social networks such Twitter and Facebook, besides the classic physical contact network. Such multi-layer network allows for feedback between networks / layers. For instance, the spread of a biological disease such as Ebola in a physical contact...
master thesis 2015
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Yan, S. (author)
master thesis 2014
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Ren, Y. (author)
Growth and preferential attachment are the two ingredients of the scale-free network. Based on the Barabási-Albert scale-free model, we construct a more general model by replacing the linear preferential attachment with the nonlinear preferential attachment. We introduce different networks by controlling a parameter ? which decides the...
master thesis 2009
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