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Developing Visualisations to Enhance an Insider Threat Product: A Case Study (2021)
Conference Proceeding
Graham, M., Kukla, R., Mandrychenko, O., Hart, D., & Kennedy, J. (2021). Developing Visualisations to Enhance an Insider Threat Product: A Case Study. In 2021 IEEE Symposium on Visualization for Cyber Security (VizSec) (47-57). https://doi.org/10.1109/VizSec53666.2021.00011

This paper describes the process of developing data visualisations to enhance a commercial software platform for combating insider threat, whose existing UI, while perfectly functional, was limited in its ability to allow analysts to easily spot the... Read More about Developing Visualisations to Enhance an Insider Threat Product: A Case Study.

Developing Visualisations to Enhance an Insider Threat Product: A Case Study (2021)
Presentation / Conference
Graham, M. (2021, October). Developing Visualisations to Enhance an Insider Threat Product: A Case Study. Presented at 18th IEEE Symposium on Visualization for Cyber Security, New Orleans, USA [Online]

This paper describes the process of developing data visualisations to enhance a commercial software platform for combating insider threat, whose existing UI, while perfectly functional, was limited in its ability to allow analysts to easily spot the... Read More about Developing Visualisations to Enhance an Insider Threat Product: A Case Study.

Interactivity in Linear Diagrams (2021)
Conference Proceeding
Chapman, P. (2021). Interactivity in Linear Diagrams. In Diagrammatic Representation and Inference: 12th International Conference, Diagrams 2021, Virtual, September 28–30, 2021, Proceedings (449-465). https://doi.org/10.1007/978-3-030-86062-2_47

Linear diagrams have been shown to be an effective method for representing set-based data. Moreover, design principles have been empirically developed that, when followed, improve the efficacy of linear diagrams. These principles are task-independent... Read More about Interactivity in Linear Diagrams.

Design and Evaluation of Visualisation Techniques to Facilitate Argument Exploration (2021)
Journal Article
Khartabil, D., Collins, C., Wells, S., Bach, B., & Kennedy, J. (2021). Design and Evaluation of Visualisation Techniques to Facilitate Argument Exploration. Computer Graphics Forum, 40(6), 447-465. https://doi.org/10.1111/cgf.14389

This paper reports the design and comparison of three visualizations to represent the structure and content within arguments. Arguments are artefacts of reasoning widely used across domains such as education, policy making, and science. An argument i... Read More about Design and Evaluation of Visualisation Techniques to Facilitate Argument Exploration.

Drawing Algorithms For Linear Diagrams (Supplementary) (2020)
Dataset
Chapman, P., & Sim, K. (2021). Drawing Algorithms For Linear Diagrams (Supplementary). [Dataset]. https://doi.org/10.17869/enu.2021.2748170

This folder contains the material to go with the article: Peter Chapman, Kevin Sim, Huanghao Chen (2021) Drawing Algorithms for Linear Diagrams. The code, the benchmark set of diagrams, the dataset of algorithms applied to the benchmark set, an... Read More about Drawing Algorithms For Linear Diagrams (Supplementary).

Visual Encodings for Networks with Multiple Edge Types (2020)
Conference Proceeding
Vogogias, T., Archambault, D. W., Bach, B., & Kennedy, J. (2020). Visual Encodings for Networks with Multiple Edge Types. In AVI '20: Proceedings of the International Conference on Advanced Visual Interfaces. https://doi.org/10.1145/3399715.3399827

This paper reports on a formal user study on visual encodings of networks with multiple edge types in adjacency matrices. Our tasks and conditions were inspired by real problems in computational biology. We focus on encodings in adjacency matrices, s... Read More about Visual Encodings for Networks with Multiple Edge Types.

A Probabilistic Design Reuse Index for Engineering Designs (2020)
Journal Article
Vasantha, G., Corney, J., Stuart, S., Sherlock, A., Quigley, J., & Purves, D. (2020). A Probabilistic Design Reuse Index for Engineering Designs. Journal of Mechanical Design, 142(10), https://doi.org/10.1115/1.4046435

Many companies offer a range of related products that are constructed using similar components and processes. This enables them to meet customer expectations of product variety while minimising the overheads (e.g. development and manufacturing costs)... Read More about A Probabilistic Design Reuse Index for Engineering Designs.

Double-Arc Parallel Coordinates and its Axes re-Ordering Methods (2020)
Journal Article
Lu, L., Wang, W., & Tan, Z. (2020). Double-Arc Parallel Coordinates and its Axes re-Ordering Methods. Mobile Networks and Applications, 25(4), 1376-1391. https://doi.org/10.1007/s11036-019-01455-9

The Parallel Coordinates Plot (PCP) is a popular technique for the exploration of high-dimensional data. In many cases, researchers apply it as an effective method to analyze and mine data. However, when today's data volume is getting larger, visual... Read More about Double-Arc Parallel Coordinates and its Axes re-Ordering Methods.

The effectiveness of cognitive-behavioural interventions at increasing adherence to physical activity in mental health populations: a systematic review (2019)
Journal Article
Snowden, A., Peddie, N., & Westbury, T. (2021). The effectiveness of cognitive-behavioural interventions at increasing adherence to physical activity in mental health populations: a systematic review. Advances in Mental Health, 19(1), 94-112. https://doi.org/10.1080/18387357.2019.1684829

Objective: There is growing global evidence for stark inequalities in the physical health status and life-expectancy of people with a mental health diagnosis. In most cases, physical activity (PA) is one of the most effective methods of maintaining p... Read More about The effectiveness of cognitive-behavioural interventions at increasing adherence to physical activity in mental health populations: a systematic review.

Visualisation Support for Biological Bayesian Network Inference (2019)
Thesis
Vogogias, T. Visualisation Support for Biological Bayesian Network Inference. (Thesis). Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2158180

Extracting valuable information from the visualisation of biological data and turning it into a network model is the main challenge addressed in this thesis. Biological networks are mathematical models that describe biological entities as nodes and t... Read More about Visualisation Support for Biological Bayesian Network Inference.

An AI approach to Collecting and Analyzing Human Interactions with Urban Environments (2019)
Journal Article
Ferrara, E., Fragale, L., Fortino, G., Song, W., Perra, C., di Mauro, M., & Liotta, A. (2019). An AI approach to Collecting and Analyzing Human Interactions with Urban Environments. IEEE Access, 7, 141476-141486. https://doi.org/10.1109/access.2019.2943845

Thanks to advances in Internet of Things and crowd-sensing, it is possible to collect vast amounts of urban data, to better understand how citizens interact with cities and, in turn, improve human well-being in urban environments. This is a scientifi... Read More about An AI approach to Collecting and Analyzing Human Interactions with Urban Environments.

Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach (2019)
Journal Article
Di Mauro, M., & Liotta, A. (2019). Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach. IEEE Transactions on Network and Service Management, 16(4), 1493-1506. https://doi.org/10.1109/tnsm.2019.2943776

The Next Generation 5G Networks can greatly benefit from the synergy between virtualization paradigms, such as the Network Function Virtualization (NFV), and service provisioning platforms such as the IP Multimedia Subsystem (IMS). The NFV concept is... Read More about Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach.

Health professionals' lack of knowledge of central venous access devices: the impact on patients (2019)
Journal Article
Kelly, L. J., Snowden, A., Paterson, R., & Campbell, K. (2019). Health professionals' lack of knowledge of central venous access devices: the impact on patients. British Journal of Nursing, 28(14), https://doi.org/10.12968/bjon.2019.28.14.S4

Background The literature on patient experience of living with a central venous access device (CVAD) is growing, but remains sparse. It suggests that patients accept CVADs as should reduce episodes of repeated cannulations. However, a recent doctor... Read More about Health professionals' lack of knowledge of central venous access devices: the impact on patients.

A Data-driven Statistical Approach to Customer Behaviour Analysis and Modelling in Online Freemium Games (2019)
Thesis
Singh Roy, A. A Data-driven Statistical Approach to Customer Behaviour Analysis and Modelling in Online Freemium Games. (Thesis). Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2090355

The video games industry is one of the most attractive and lucrative segments in the entertainment and digital media, with big business of more than $150 billion worldwide. A popular approach in this industry is the online freemium model, wherein the... Read More about A Data-driven Statistical Approach to Customer Behaviour Analysis and Modelling in Online Freemium Games.

Constructing and Evaluating Visualisation Task Classifications: Process and Considerations (2019)
Journal Article
Kerracher, N., & Kennedy, J. (2019). Constructing and Evaluating Visualisation Task Classifications: Process and Considerations. Computer Graphics Forum, 36(3), 47-59. https://doi.org/10.1111/cgf.13167

Categorising tasks is a common pursuit in the visualisation research community, with a wide variety of taxonomies, typologies, design spaces, and frameworks having been developed over the last three decades. While these classifications are universall... Read More about Constructing and Evaluating Visualisation Task Classifications: Process and Considerations.

The efficacy of Euler diagrams and linear diagrams for visualizing set cardinality using proportions and numbers (2019)
Journal Article
Stapleton, G., Chapman, P., Rodgers, P., Touloumis, A., Blake, A., & Delaney, A. (2019). The efficacy of Euler diagrams and linear diagrams for visualizing set cardinality using proportions and numbers. PLOS ONE, 14(3), https://doi.org/10.1371/journal.pone.0211234

This paper presents the first empirical investigation that compares Euler and linear diagrams when they are used to represent set cardinality. A common approach is to use area-proportional Euler diagrams but linear diagrams can exploit length-proport... Read More about The efficacy of Euler diagrams and linear diagrams for visualizing set cardinality using proportions and numbers.

Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks (2019)
Journal Article
Savaglio, C., Pace, P., Aloi, G., Liotta, A., & Fortino, G. (2019). Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks. IEEE Access, 7, 29355-29364. https://doi.org/10.1109/access.2019.2902371

High-density communications in wireless sensor networks (WSNs) demand for new approaches to meet stringent energy and spectrum requirements. We turn to reinforcement learning, a prominent method in artificial intelligence, to design an energy-preserv... Read More about Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks.

Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities (2019)
Journal Article
Erhan, L., Ndubuaku, M., Ferrara, E., Richardson, M., Sheffield, D., Ferguson, F. J., …Liotta, A. (2019). Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities. IEEE Access, 7, 19890-19906. https://doi.org/10.1109/access.2019.2897217

The ease of deployment of digital technologies and the Internet of Things gives us the opportunity to carry out large-scale social studies and to collect vast amounts of data from our cities. In this paper, we investigate a novel way of analyzing dat... Read More about Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities.