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Subject = Network Analysis;
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Displaying Results 1 - 22 of 22 on page 1 of 1
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“Exegetical Education": Overcoming Obstacles in a Collaborative Journey Toward Meaning
(2015)
Holton, Michael
“Exegetical Education": Overcoming Obstacles in a Collaborative Journey Toward Meaning
(2015)
Holton, Michael
Abstract:
A practical problem often arises in gospel doctrine classes since the scriptural text is often bypassed in favour of thematic discussions. The use of exegesis might overcome this problem by reinstating the text as a genuine source of meaning. Indeed, exegetical education (EE) could aid in understanding and using the text. Practical action research was employed in a small-scale study to explore these claims. Interviews held with three teachers explored their practice of exegetical forms of instruction. EE was formalised during a pilot stage. A reflective journal was kept during a further implementation of EE in specific gospel doctrine classes. Finally, a focus group interview was held with students to explore their experience of EE as implemented. The data obtained was analysed using network analysis. The findings support the claim that EE contributes to the relevance of the text in classroom discussions. These findings paint a metaphorical picture of EE as involving a journey that ...
https://arrow.dit.ie/ijap/vol4/iss1/4
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A networks-science investigation into the epic poems of Ossian
(2016)
Yose, Joseph; Kenna, Ralph; Mac Carron, Pádraig; Platini, Thierry; Tonra, Justin
A networks-science investigation into the epic poems of Ossian
(2016)
Yose, Joseph; Kenna, Ralph; Mac Carron, Pádraig; Platini, Thierry; Tonra, Justin
Abstract:
In 1760 James Macpherson published the first volume of a series of epic poems which he claimed to have translated into English from ancient Scottish-Gaelic sources. The poems, which purported to have been composed by a third-century bard named Ossian, quickly achieved wide international acclaim. They invited comparisons with major works of the epic tradition, including Homer s Iliad and Odyssey, and effected a profound influence on the emergent Romantic period in literature and the arts. However, the work also provoked one of the most famous literary controversies of all time, colouring the reception of the poetry to this day. The authenticity of the poems was questioned by some scholars, while others protested that they misappropriated material from Irish mythological sources. Recent years have seen a growing critical interest in Ossian, initiated by revisionist and counter-revisionist scholarship and by the two-hundred-and-fiftieth anniversary of the first collected edition of the...
http://hdl.handle.net/10379/6101
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An analysis of interactions within and between extreme right communities in social media
(2012)
O'Callaghan, Derek; Greene, Derek; Conway, Maura; Carthy, Joe; Cunningham, Padraig
An analysis of interactions within and between extreme right communities in social media
(2012)
O'Callaghan, Derek; Greene, Derek; Conway, Maura; Carthy, Joe; Cunningham, Padraig
Abstract:
Many extreme right groups have had an online presence for some time through the use of dedicated websites. This has been accompanied by increased activity in social media websites in recent years, which may enable the dissemination of extreme right content to a wider audience. In this paper, we present exploratory analysis of the activity of a selection of such groups on Twitter, using network representations based on reciprocal follower and mentions interactions. We find that stable communities of related users are present within individual country networks, where these communities are usually associated with variants of extreme right ideology. Furthermore, we also identify the presence of international relationships between certain groups across geopolitical boundaries.
http://doras.dcu.ie/17746/
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Analysing Performance Characteristics of Biomass Haulage in Ireland with GPS, GIS and Fuel Diagnostic Tools
(2016)
Sosa, Amanda; McDonnell, Kevin; Devlin, Ger
Analysing Performance Characteristics of Biomass Haulage in Ireland with GPS, GIS and Fuel Diagnostic Tools
(2016)
Sosa, Amanda; McDonnell, Kevin; Devlin, Ger
Abstract:
In Ireland, truck transport by road dominates and will remain the main transportation mode of biomass. Cost efficiency and flexibility of forest transport can be typically improved by optimising routes. It is important to know every process and attributes within the workflow of roundwood transport. This study aimed to analyse characteristics of timber trucking in Ireland, and to estimate the least-cost route for the distribution of biomass with the use of geographic information systems (GIS). Firstly, a tracking system that recorded the truck’s movements and fuel consumption was installed. A total of 152 trips were recorded, routes were chosen by the truck driver. The recorded information was used to analyse the distances and times travelled loaded and unloaded per road class, breaks, loading and unloading times as well as fuel consumption. Secondly, the routes taken by the truck where compared with routes created using Network Analyst (NA), an extension of ArcGIS. Four scenarios ba...
http://hdl.handle.net/10197/7580
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Bayesian exponential random graph models with nodal random effects
(2017)
Thiemichen, S.; Friel, Nial; Caimo, Alberto; Kauermann, G.
Bayesian exponential random graph models with nodal random effects
(2017)
Thiemichen, S.; Friel, Nial; Caimo, Alberto; Kauermann, G.
Abstract:
We extend the well-known and widely used Exponential Random Graph Model (ERGM) by including nodal random effects to compensate for heterogeneity in the nodes of a network. The Bayesian framework for ERGMs proposed by Caimo and Friel (2011) yields the basis of our modelling algorithm. A central question in network models is the question of model selection and following the Bayesian paradigm we focus on estimating Bayes factors. To do so we develop an approximate but feasible calculation of the Bayes factor which allows one to pursue model selection. Two data examples and a small simulation study illustrate our mixed model approach and the corresponding model selection.
Science Foundation Ireland
Swiss National Science Foundation (SNSF)
http://hdl.handle.net/10197/8366
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Biomarkers: are realism and control mutually exclusive in integrated pollution assessment?
(2018)
Wilson, J.G.; McHugh, B.; Giltrap, M.
Biomarkers: are realism and control mutually exclusive in integrated pollution assessment?
(2018)
Wilson, J.G.; McHugh, B.; Giltrap, M.
http://hdl.handle.net/10379/14441
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Comparing and contrasting smartphone and non-smartphone usage
(2013)
Carolan, E.; McLoone, S.C.; Farrell, R.
Comparing and contrasting smartphone and non-smartphone usage
(2013)
Carolan, E.; McLoone, S.C.; Farrell, R.
Abstract:
This paper presents a large-scale network wide analysis of both user behaviour and network dynamics in a live nationwide 2G/3G network. The employed data set tracks over one million subscribers across upwards of ten thousand base stations covering the entirety of the Republic of Ireland. The data set was captured in 2011 and includes a large group of bill-pay and pre-pay smartphone subscribers. The proliferation of smartphones has been a major and recent change to networks worldwide. In light of the recent changes in network access technologies much of the earlier work in this field is now out of date. This paper compares and contrasts the traffic usage of smartphone subscribers and nonsmartphone subscribers. A key aim of this work is to quantify and qualify the change brought about by smartphones. Unlike previous studies, we look to the future by treating all traffic including voice calls and SMS as an equivalent data service, as will be the case in 4G. This paper also explores the...
http://hdl.handle.net/10759/337395
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Estimating Catchment Area Population Indicators Using Network Analysis
(2011)
Cullinan, John; Hynes, Stephen; O'Donoghue, Cathal
Estimating Catchment Area Population Indicators Using Network Analysis
(2011)
Cullinan, John; Hynes, Stephen; O'Donoghue, Cathal
Abstract:
This paper proposes an approach to estimating catchment area population indicators (CAPIs) using geographic information system (GIS)-based network analysis. Specifically, it considers how 'GeoDirectory', a geodatabase containing the spatial coordinates of every building in the Republic of Ireland, can be used in conjunction with estimated service areas to calculate the number of residential buildings within a catchment area. The count of residences within the catchment then acts as an indicator or proxy for its population and can be useful when the catchment area does not match closely any combination of geographical or administrative areas for which data exists. Two small-scale recreation forest sites in County Galway are considered by way of illustration: Barna Wood and Renville Forest Park. CAPIs are estimated for the two sites using distance-based service areas as well as isochrone surfaces, and comparisons are made to estimates based on measures of Euclidean distance....
http://hdl.handle.net/10379/1550
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Feasibility of flow-based optical provisioning in GEANT
(2007)
DOYLE, LINDA; O'MAHONY, DONAL EDWARD; Ruffini, M.
Feasibility of flow-based optical provisioning in GEANT
(2007)
DOYLE, LINDA; O'MAHONY, DONAL EDWARD; Ruffini, M.
Abstract:
We present a novel network architecture that establishes dynamic optical paths by analyzing local network traffic. We demonstrate its feasibility and effectiveness through a network analysis using real traces collected from the pan-European GEANT network.
http://hdl.handle.net/2262/17101
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Feedback regulation in cell signalling: Lessons for cancer therapeutics
(2019)
Nguyen, Lan K.; Kholodenko, Boris N.
Feedback regulation in cell signalling: Lessons for cancer therapeutics
(2019)
Nguyen, Lan K.; Kholodenko, Boris N.
Abstract:
The notion of feedback is fundamental for understanding signal transduction networks. Feedback loops attenuate or amplify signals, change the network dynamics and modify the input-output relationships between the signal and the target. Negative feedback provides robustness to noise and adaptation to perturbations, but as a double-edged sword can prevent effective pathway inhibition by a drug. Positive feedback brings about switch-like network responses and can convert analog input signals into digital outputs, triggering cell fate decisions and phenotypic changes. We show how a multitude of protein-protein interactions creates hidden feedback loops in signal transduction cascades. Drug treatments that interfere with feedback regulation can cause unexpected adverse effects. Combinatorial molecular interactions generated by pathway crosstalk and feedback loops often bypass the block caused by targeted therapies against oncogenic mutated kinases. We discuss mechanisms of drug resistanc...
http://hdl.handle.net/10197/9778
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HiQuant: Rapid postquantification analysis of large-scale MS-generated proteomics data
(2019)
Bryan, Kenneth; Jarbou, Mohamed-Ali; Raso, Cinzia; McCann, Brendan; Rauch, Jens; et al.
HiQuant: Rapid postquantification analysis of large-scale MS-generated proteomics data
(2019)
Bryan, Kenneth; Jarbou, Mohamed-Ali; Raso, Cinzia; McCann, Brendan; Rauch, Jens; et al.
Abstract:
Recent advances in mass-spectrometry-based proteomics are now facilitating ambitious large-scale investigations of the spatial and temporal dynamics of the proteome; however, the increasing size and complexity of these data sets is overwhelming current downstream computational methods, specifically those that support the postquantification analysis pipeline. Here we present HiQuant, a novel application that enables the design and execution of a postquantification workflow, including common data-processing steps, such as assay normalization and grouping, and experimental replicate quality control and statistical analysis. HiQuant also enables the interpretation of results generated from large-scale data sets by supporting interactive heatmap analysis and also the direct export to Cytoscape and Gephi, two leading network analysis platforms. HiQuant may be run via a user-friendly graphical interface and also supports complete one-touch automation via a command-line mode. We evaluate Hi...
http://hdl.handle.net/10197/9763
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Hops, Skip & a Jump: The Regional Uniqueness of Beer Styles
(2020)
Buarque, Bernardo S.; Davies, Ronald B.; Hynes, Ryan M.; Kogler, Dieter Franz
Hops, Skip & a Jump: The Regional Uniqueness of Beer Styles
(2020)
Buarque, Bernardo S.; Davies, Ronald B.; Hynes, Ryan M.; Kogler, Dieter Franz
Abstract:
Perhaps more than any other product, beer evokes the place it was made. Weißbier and Germany, dubbels and Belgium, and most of all, Guinness and Ireland. Part of what makes these beers so memorable is what sets them apart and gives them their ‘taste of place’. Many studies have tried to place that taste, and due to a lack of detailed data, have relied largely on qualitative methods to do so. We introduce a novel data set of regionalized beer recipes, styles, and ingredients collected from a homebrewing website. We then turn to the methods of evolutionary economic geography to create regional ingredient networks for recipes within a style of beer, and identify which ingredients are most important to certain styles. Along with identifying these keystone ingredients, we calculate a style’s resiliency or reliance on one particular ingredient. We compare this resiliency within similar styles in different regions and across different styles in the same region to isolate the effects of reg...
http://hdl.handle.net/10197/11795
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Merging multiple criteria to identify suspicious reviews
(2010)
Wu, Guangyu; Greene, Derek; Cunningham, Pádraig
Merging multiple criteria to identify suspicious reviews
(2010)
Wu, Guangyu; Greene, Derek; Cunningham, Pádraig
Abstract:
ACM Recommender Systems 2010, Barcelona, September 26-30, 2010
Assessing the trustworthiness of reviews is a key issue for the maintainers of opinion sites such as TripAdvisor, given the rewards that can be derived from posting false or biased reviews. In this paper we present a number of criteria that might be indicative of suspicious reviews and evaluate alternative methods for integrating these criteria to produce a unified 'suspiciousness' ranking. The criteria derive from characteristics of the network of reviewers and also from analysis of the content and impact of reviews and ratings. The integration methods that are evaluated are singular value decomposition and the unsupervised hedge algorithm. These alternatives are evaluated in a user study on TripAdvisor reviews, where volunteers were asked to rate the suspiciousness of reviews that have been highlighted by the criteria.
Science Foundation Ireland
Conference details
http://recsys.acm.org/2010/
http://hdl.handle.net/10197/2403
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Network Analysis of the Viking Age in Ireland as portrayed in Cogadh Gaedhel re Gallaibh
(2017)
Yose, Joseph; Kenna, R.; MacCarron, Máirín; MacCarron, Pádraig
Network Analysis of the Viking Age in Ireland as portrayed in Cogadh Gaedhel re Gallaibh
(2017)
Yose, Joseph; Kenna, R.; MacCarron, Máirín; MacCarron, Pádraig
Abstract:
Cogadh Gaedhel re Gallaibh (“The War of the Gaedhil with the Gaill”) is a medieval Irish text, telling how an army under the leadership of Brian Boru challenged Viking invaders and their allies in Ireland, culminating with the Battle of Clontarf in 1014. Brian’s victory is widely remembered for breaking Viking power in Ireland, although much modern scholarship disputes traditional perceptions. Instead of an international conflict between Irish and Viking, interpretations based on revisionist scholarship consider it a domestic feud or civil war. Counter-revisionists challenge this view and a lively debate continues. Here we introduce quantitative measures to the discussions. We present statistical analyses of network data embedded in the text to position its sets of interactions on a spectrum from the domestic to the international. This delivers a picture that lies between antipodal traditional and revisionist extremes; hostilities recorded in the text are mostly between Irish and Vi...
http://mural.maynoothuniversity.ie/13245/
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Network analysis of adipose tissue gene expression highlights altered metabolic and regulatory transcriptomic activity in high-fat-diet-fed IL-1RI knockout mice
(2013)
MILLS, KINGSTON
Network analysis of adipose tissue gene expression highlights altered metabolic and regulatory transcriptomic activity in high-fat-diet-fed IL-1RI knockout mice
(2013)
MILLS, KINGSTON
Abstract:
A subacute inflammatory phenotype is implicated in the pathology of insulin resistance (IR) and type 2 diabetes mellitus. Interleukin (IL)-1? and IL-1? are produced by innate immune cells, including macrophages, and mediate their inflammatory response through the IL-1 type I receptor (IL-IRI). This study sought to understand the transcriptomic signature of adipose tissue in obese IL-1RI?/? mice. Following dietary intervention, markers of insulin sensitivity and inflammation in adipose tissue were determined, and gene expression was assessed with microarrays. IL-1RI?/? mice fed a high-fat diet (HFD) had significantly lower plasma inflammatory cytokine concentrations than wild-type mice. Metabolic network analysis of transcriptomic effects identified up-regulation and co-expression of genes involved in lipolysis, lipogenesis and tricarboxylic acid (TCA) cycle. Further assessment of gene expression in a network of protein interactions related to innate immunity highlighted Stat3 as a p...
http://hdl.handle.net/2262/72967
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Neuroanatomical dysconnectivity in bipolar disorder
(2016)
O'Donoghue, Stefani
Neuroanatomical dysconnectivity in bipolar disorder
(2016)
O'Donoghue, Stefani
Abstract:
Bipolar Disorder (BD) is a major psychotic illness characterized by cyclic mood dysregulation. The dysconnectivity hypothesis suggests that psychotic illnesses arise not from regionally specific focal pathophysiology, but rather from impaired neuroanatomical integration across networks of brain regions. Decreased white matter organization has been hypothesized to be a feature of psychotic illnesses in general, and is supported by meta-analyses of Diffusion Tensor Imaging (DTI) studies in BD and schizophrenia. Although repeatedly associated with white matter microstructural alterations, predominantly among frontal-limbic and posterior parietal white matter, BD has been relatively unexplored through complex network analysis. This method combines structural and diffusion magnetic resonance imaging (MRI) to model the brain as a network and evaluate its topological properties. Few graph analyses investigations to date have probed neuroanatomical connectivity in BD and findings are incon...
http://hdl.handle.net/10379/6062
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Neuroanatomical dysconnectivity underlying cognitive deficits in bipolar disorder
(2020)
McPhilemy, Genevieve; Nabulsi, Leila; Kilmartin, Liam; O’Hora, Denis; O’Donoghue, Stefa...
Neuroanatomical dysconnectivity underlying cognitive deficits in bipolar disorder
(2020)
McPhilemy, Genevieve; Nabulsi, Leila; Kilmartin, Liam; O’Hora, Denis; O’Donoghue, Stefani; Tronchin, Giulia; Costello, Laura; Najt, Pablo; Ambati, Srinath; Neilsen, Gráinne; Creighton, Sarah; Byrne, Fintan; McLoughlin, James; McDonald, Colm; Hallahan, Brian; Cannon, Dara M.
Abstract:
BACKGROUND: Graph theory applied to brain networks is an emerging approach to understanding the brain's topological associations with human cognitive ability. Despite well-documented cognitive impairments in bipolar disorder (BD) and recent reports of altered anatomical network organization, the association between connectivity and cognitive impairments in BD remains unclear.METHODS: We examined the role of anatomical network connectivity derived from Ti - and diffusion-weighted magnetic resonance imaging in impaired cognitive performance in individuals with BD (n = 32) compared with healthy control individuals (n = 38). Fractional anisotropy- and number of streamlines-weighted anatomical brain networks were generated by mapping constrained spherical deconvolution-reconstructed white matter among 86 cortical/subcortical bilateral brain regions delineated in the individual's own coordinate space. Intelligence and executive function were investigated as distributed functions...
http://hdl.handle.net/10379/16009
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Structural brain network analysis in families multiply affected with bipolar i disorder
(2018)
Forde, Natalie J.; O'Donoghue, Stefani; Scanlon, Cathy; Emsell, Louise; Chaddock, ...
Structural brain network analysis in families multiply affected with bipolar i disorder
(2018)
Forde, Natalie J.; O'Donoghue, Stefani; Scanlon, Cathy; Emsell, Louise; Chaddock, Chris; Leemans, Alexander; Jeurissen, Ben; Barker, Gareth J.; Cannon, Dara M.; Murray, Robin M.; McDonald, Colm
http://hdl.handle.net/10379/11531
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The Complex Pathway towards Farm-Level Sustainable Intensification: An Exploratory Network Analysis of Stakeholders’ Knowledge and Perception
(2020)
Micha, Evgenia; Fenton, Owen; Daly, Karen M.; Kakonyi, Gabriella; Ezzati, Golnaz; Molon...
The Complex Pathway towards Farm-Level Sustainable Intensification: An Exploratory Network Analysis of Stakeholders’ Knowledge and Perception
(2020)
Micha, Evgenia; Fenton, Owen; Daly, Karen M.; Kakonyi, Gabriella; Ezzati, Golnaz; Moloney, Thomas; Thornton, Steven
Abstract:
Farm-level sustainable intensification of agriculture (SIA) has become an important concept to ensuring food security while minimising negative externalities. However, progress towards its achievement is often constrained by the different perceptions and goals of various stakeholders that affect farm management decisions. This study examines farm-level SIA as a dynamic system with interactive components that are determined by the interests of the stakeholders involved. A systems thinking approach was used to identify and describe the pathways towards farm-level SIA across the three main pillars of sustainability. An explanatory network analysis of fuzzy cognitive maps (FCMs) that were collectively created by representative groups of farmers, farm advisors and policy makers was performed. The study shows that SIA is a complex dynamic system, affected by cognitive beliefs and particular knowledge within stakeholder groups. The study concludes that, although farm-level SIA is a complex...
http://hdl.handle.net/11019/2184
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The neural network basis of cognitive impairment in bipolar disorder
(2020)
McPhilemy, Genevieve
The neural network basis of cognitive impairment in bipolar disorder
(2020)
McPhilemy, Genevieve
Abstract:
Background: Despite well-documented cognitive deficits that contribute to poorer quality of life in bipolar disorder (BD) and evidence of altered topology and connectivity within neural networks, little work has been done to assess the potential impact of brain network alterations on cognitive functioning in BD. Neuroimaging investigations have provided evidence of possible neuroanatomical and functional underpinnings of these impairments, however they have generally focused on few cognitive domains and in a localized manner on select brain areas or connections. Measures of network connectivity can uncover disrupted integration between distinct neural systems unlike anatomically focal measurements and therefore may better capture the neuroanatomical basis of emergent functions such as cognitive performance. Within this thesis, I examine the multivariate patterns of network connectivity that underlie cognitive impairment in BD using both anatomical and functional neural network repre...
http://hdl.handle.net/10379/15727
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The paradigm of design science research: a tool-supported literature review
(2017)
Herwix, Alexander; Rosenkranz, Christoph
The paradigm of design science research: a tool-supported literature review
(2017)
Herwix, Alexander; Rosenkranz, Christoph
Abstract:
In this paper, a review of the state of the art of theory associated with the young and quickly evolving Design Science Research (DSR) paradigm is presented. The core of the review consists of a structured literature search covering the senior scholars’ basket of eight from 1977 until the end of 2016, which resulted in data set of 196 sources. An iterative, selective coding of the title and abstracts revealed four major grounded clusters (138 papers). Three clusters (93 papers) were selected for co-citation analysis and augmented with additional forward and backward searches. The co-citation analysis affords an objective look at the current state of theory use in DSR and allows for the systematic identification of research opportunities. Altogether, the paper presents a multi-grounded DSR approach to literature reviews and contributes a reliable platform for further analysis and development of the DSR paradigm.
http://hdl.handle.net/10468/4454
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The Probabilistic Integration of Demand-Side Load and Generation in a Representative Irish Distribution Network
(2009)
Sunderland, Keith; Conlon, Michael
The Probabilistic Integration of Demand-Side Load and Generation in a Representative Irish Distribution Network
(2009)
Sunderland, Keith; Conlon, Michael
Abstract:
This paper introduces a methodology for investigating the behaviour of a distribution network incorporating both load variations and variable micro-wind generation output. The probabilistic methodology is applied to a representative model of the Irish Distribution Network. Application of a selection of commercially available micro-wind turbines to the model is investigated for a range of load and generation scenarios based on a standard load profile and varying mean wind speed. Analysis of the results of the analysis forms the basis for defining the limitations of the methodology but also presents the opportunities for future work.
https://arrow.dit.ie/engscheleart/172
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