1,137 research outputs found
O'Neale, John Thomas, NX57057
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/408803Surname: O'NEALE. Given Name(s) or Initials: JOHN THOMAS. Military Service Number or Last Known Location: NX57057. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 20615.224144
Item: [2016.0049.41076] "O'Neale, John Thomas, NX57057
Structure and dynamics of social bipartite and projected networks
No full textNetworks have become ubiquitous across many areas of knowledge. Their popularity comes from the fact that, apart from the variety of the nature of the systems, they present similar architecture governed by universal properties. Moreover, networks function as a skeleton, by mapping the interactions between the elements of the system translated into nodes and links. We can use networks to represent even more complicated systems, e.g. those with elements of two different types. For such cases, we use bipartite networks. Despite their importance for the analysis of complex systems, bipartite networks are often neglected. In general, one-mode versions of the bipartite network are created using the preferred node type. However, such versions— one-mode projected networks — inherently present a loss of information, which would most likely result in impaired analysis. The goal of this thesis is to provide further knowledge about the structure of bipartite networks and, more importantly, how it affects the structural properties of projected networks. First, we show the causality between the degree distributions of bipartite networks and the resulting degree distribution of projected networks. Also, we find that the bipartite degree distributions are not the only feature driving topology formation in projected networks. Thus, we move forward to another network structural feature: small cycles. They represent types of clustering in bipartite networks and directly affect the projected network structure. We use empirical and synthetic networks to show that while four-cycles indicate recurrence of links between a pair of nodes in the projections, six-cycles — representation of transitivity— affect clustering levels. Third, we introduce the dynamics of network growth. We use extensive datasets to study the evolution of the structure of scientific collaboration networks. We create a comprehensive mapping of how several network structural properties evolve over time. Finally, we propose a generative model for bipartite networks. It is a bipartite extension of a model previously designed for one-mode networks. We show that with the proper adaptation, the model can assess the fundamental structural properties that we have studied throughout the thesis, reproducing both bipartite and projected network features
A Bibliometric Study of Geothermal Research in New Zealand prepared for Mighty River Power
No full textWe conduct a bibliometric study of geothermal research in New Zealand, examining total published output, co-author relationships, and international collaboration. We identify a number of trends in the volume of outputs published and in co-author networks. We observe an increasingly connected geothermal community, with a growing number of new players and a decline in the dominance of countries such as the United States, the traditional leader in geothermal research
The nature and implications of urban job networks
No full textThis thesis presents an analysis of New Zealand workforce dynamics between 2000-2017 using temporal bipartite networks. First, a temporal bipartite network was created using microdata accessed through New Zealand's Integrated Data Infrastructure (IDI). Once built, a projection was created
to generate a job-mobility network. The topology of both networks was then
characterized, paying particular attention to their temporal evolution. This
analysis revealed considerable changes in the topology, a ecting the connectivity
of the network in the long term. Following the building of the network,
a model for the transfer of tacit knowledge was proposed. The model not
only simulates the knowledge transfer as a spreading process in the network,
but it also aims to quantify the stock of knowledge in rms and individuals,
with the ability to track the origin and spread of individual contributions.
Given the nature of tacit knowledge, the quantitative approach of our model
represents an improvement compared with previous research. Subsequently,
the proposed model of knowledge transfer was implemented in two subgraphs
from the full network. These subgraphs corresponded to particular cohorts
of skilled individuals. The results of these simulations showed clear di erences
in the temporal evolution of this cohorts, revealing di erent dynamics
in the way spreading processes travel through the network. One important
result of this analysis was the signi cant increase in latency, suggesting that
latencies may be a better descriptor for spreading process, especially in cases where latencies are comparable to the lifetime of the agent
s transferring
knowledge. Finally, given the restrictions of the data used for building our
temporal networks, we developed a basic methodology for creating synthetic
temporal network using statistical summaries of full data. These synthetic
networks show a similar behavior to the empirical networks when SIR outbreaks simulations were used to characterize their connectivity
Toni Cade Bambara Speaks at the Conference on Black South Literature and Art, November 1980
No full textAuthor Toni Cade Bambara is shown speaking at the Conference on Black South Literature and Art held at Emory University in Atlanta, Georgia. Written on verso: Novelist Toni Cade Bambara addresses the keynote session of the Conference on Black South Literature and Art. Other platform guests shown are (l-r) novelist Albert Murray; Ann Carol Rivers of the Atlanta University Center; former U.N. Ambassador Andrew Young; playwright Ossie Davis; David Wilk, director of the literature program of the National Endowment for the Arts; Benjamin Hudson, dean of the School of Arts and Sciences at Atlanta University; and Sondra O'Neale, professor of English at Emory and organizer of the conference.The Atlanta University Center Robert W. Woodruff Library acknowledges the generous support of the Joseph & Evelyn Lowery Institute for Justice and Human Rights, the Joseph Echols Lowery Irrevocable Trust, and other donors in supporting the processing and digitization of Morehouse College's Joseph Echols and Evelyn Gibson Lowery Collection
Geant4 - A simulation toolkit
No full textGEANT4 is a toolkit for simulating the passage of particles through matter. It includes a complete range of functionality including tracking, geometry, physics models and hits. The physics processes offered cover a comprehensive range, including electromagnetic, hadronic and optical processes, a large set of long-lived particles, materials and elements, over a wide energy range starting, in some cases, from 250 eV and extending in others to the TeV energy range. It has been designed and constructed to expose the physics models utilised, to handle complex geometries, and to enable its easy adaptation for optimal use in different sets of applications. The toolkit is the result of a worldwide collaboration of physicists and software engineers. It has been created exploiting software engineering and object-oriented technology and implemented in the C++ programming language. It has been used in applications in particle physics, nuclear physics, accelerator design, space engineering and medical physics. (C) 2003 Elsevier Science B.V. All rights reserved
- …
