Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 29 for “"Social network data"”.
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Database partitioning strategies for social network data
… prototyped and benchmarked two different data partitioning strategies for social network type workloads. The first strategy takes advantage of the heavy-tailed degree distributions of social networks to optimize the latency of vertex neighborhood queries. The second strategy takes …
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Modeling player self-representation in multiplayer online games using social network data
… online games are now often integrated with social networks that provide social contexts in which player-to-player interactions take place, such as conversation and trading of virtual items. Building upon a theoretical framework based in machine learning and cognitive science, I present …
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Mutual information: inferring tie strength and proximity in bipartite social network data with non-metric associations
… or proximity between individuals from bipartite social network data with non-metric associations. Unlike network datasets with explicit links between nodes, bipartite networks provide only implicit indications of the probable existence of connections. Therefore, as a measure of the amount of …
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Understanding and Reshaping Social Networks with Advanced Computational Techniques
Social networks are powerful in modeling interdependence among individuals. Recently, the availability of large-scale social network data and advances in computational tools have facilitated the rapid development in social network research. However, a few important aspects of social networks have …
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A preliminary approach to detect and track events in social media
… to model spatiotemporal events in both sensor network and social networks. However, most of them can not fullfil the task in a social network data streaming context. We proposed an evolving Mean Shift clustering based algorithm to formulate a robust system to automatically detect and track …
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Statistical methods for indirectly observed network data
Social networks have become an increasingly common framework for understanding and explaining social phenomena. Yet, despite an abundance of sophisticated models, social network research has yet to realize its full potential, in part because of the difficulty of collecting social network data. In …
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Engaging Immigrant Religious Organizations in HIV/AIDS Education: The Role of Social Networks
… influential site for HIV/AIDS education. Using data from a study of Chinese immigrant religious organizations in New York City, this paper examines if specific forms of social capital are associated with an organization's likelihood of being involved in HIV/AIDS activities. We use survey and …
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An algorithmic approach to social networks
Social networks consist of a set of individuals and some form of social relationship that ties the individuals together. In this thesis, we use algorithmic techniques to study three aspects of social networks: (1) we analyze the "small-world" phenomenon by examining the geographic patterns of …
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Weak Identification and Network Measurement Error in Peer Effects Estimation
The growing availability of social network data has enabled a surge of research on social interactions. In particular, peer effects, once considered unidentifiable, have now been shown to be identified given knowledge of the network structure. Despite this positive result, questions remain about …
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The Internal Conversations and Social Networks of Care Leavers at University
… the reflexivity, internal conversations and social networks of young people who had been in care but had managed to become students at university. Five young people were interviewed using Archer’s (2003, 2007) semi-structured internal conversation inter view and then using Hartman’s (1978) …
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Academic entrepreneurial ecosystem strategy in the New York state capital region
… indicate that complex productivity and network dependencies significantly impact economic sustainability and resilience, while entrepreneurial activity is a critical development factor in cluster dependencies. Applied concepts from the MIT Regional Entrepreneurial Acceleration Laboratory …
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Efficient Information Extraction Using Statistical Relational Learning
… various information sources such as health data, social network data, and scientific literature. We propose a NLP-based method that exploits scientific literature to quantitatively evaluate proposed ADEs. We validate our approach on a common ADE dataset, where we find better agreement than …
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Recent Advances on Statistical Network Analysis and Multi-task Learning for Complex Data
Real-world data are increasingly complex, arising from diverse domains that demand sophisticated analytical approaches. This dissertation focuses on developing advanced statistical methods to address the challenges in analyzing social network data and clinical trial data. First, I propose a novel …
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A mixed methods study exploring early career doctors’ and medical students’ seasonal influenza vaccination
… decision by medical students and junior doctors. Social network analysis is a well-established research approach that looks at individuals in the context of their social connections. I used an outbreak simulation model to investigate to assess whether an individual’s risk of infection could be …
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Actor-based Models of Substance Use in Adolescent Social Networks: Unravelling complex drivers of behaviour
Very little is known about social network patterns associated with substance use among adolescent New Zealanders. Social network analysis is useful for understanding subtle and interdependent drivers of adolescent substance use in ways that are not possible using conventional statistical analysis. …
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Automated Discovery of Social Networks in Online Learning Communities
… to identify, describe and evaluate underlying social networks among online community members. The main thrust of the study is to automate the discovery of social ties that form between community members, using only the digital footprints left behind in their online forum postings. Currently, …
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Online Social Networks: Measurements, Analysis and Solutions for Mining Challenges
In the last decade, online social networks showed enormous growth. With the rise of these networks and the consequent availability of wealth social network data, Social Network Analysis (SNA) led researchers to get the opportunity to access, analyse and mine the social behaviour of millions of …
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Prediction and modelling of complex social networks and their evolution.
This thesis focuses on complex social networks in the context of computational approaches for their prediction and modelling. The increasing popularity and advancement of social net- works paired with the availability of social network data enable empirical analysis, inference, prediction and …
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Learning representations for information mining from text corpora with applications to cyber threat intelligence
… classification models based upon graph neural networks (GNNs). The central scientific goal here is to learn features from corpora consisting of short texts for multiple document categorization and information extraction sub-tasks to improve the accuracy, precision, recall, and F1 score of a …
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