MOLTEN: Mathematics Of Large Technological Evolving Networks
Lead Research Organisation:
University of Reading
Department Name: Mathematics and Statistics
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
People |
ORCID iD |
| Peter Grindrod (Principal Investigator) |
Publications
Grindrod P
(2013)
A Matrix Iteration for Dynamic Network Summaries
in SIAM Review
Grindrod P
(2014)
A dynamical systems view of network centrality.
in Proceedings. Mathematical, physical, and engineering sciences
Grindrod
(2014)
Mathematical Underpinnings of Analytics: Theory and Applications
Ward J
(2014)
Aperiodic dynamics in a deterministic adaptive network model of attitude formation in social groups
in Physica D: Nonlinear Phenomena
| Description | Methods for dealing with large scale data from social media platforms such as Twiitter are developed that wren directly relevant to the digital marketing industry. These covered a wide range of issues including identifying influences and ,easier the cohesive quality of communities associated with brands. We as developed ideas about spikes in data. |
| Exploitation Route | These are being take n forward by companies such as Bloom and have help me develop relationships with global companies such as WPP and Emirates. It also influenced new work on social networks for defence and security. Network and P2P networks in particular will become a founding pillar of work at the Alan Turing Institute. The PDRA (JA Ward ) was appointed to a FT lectureship at Leeds directly as a result of his fine work on this project. Much of the resrearch and thinking was summarised in my reverent book (Mathematical Underpinnings of Analytics , OUP, 2015, see outputs) and this has become the text for courses on modern analytics at various universities. |
| Sectors | Communities and Social Services/Policy,Creative Economy,Digital/Communication/Information Technologies (including Software),Leisure Activities, including Sports, Recreation and Tourism,Retail,Security and Diplomacy |
| URL | https://www.youtube.com/watch?v=l8QH-Woa9bI |
| Description | The story is told in a video here http://www.youtube.com/watch?v=ccTRtZ28orY The analysis provided on this grant means that companies can analyse Twitter and social media data. This has led to the employment of one post graduate and two graduates within the company (Bloom at Leeds). This company now offers new products and services build on analytics via methods developed on this project. This has led to joint presentations at industry conferences. This has received considerable attention in the marketing sector (featured in the DRUM). Also featured twice in SIAM news. New products and services created, and analysts employed, based on project published methods. Beneficiaries: Company, new hires, large clients interested in digital marketing, the advertising sector Contribution Method: Fundamental developments of new products. Joint presentations at industry events |
| First Year Of Impact | 2012 |
| Sector | Creative Economy,Digital/Communication/Information Technologies (including Software),Leisure Activities, including Sports, Recreation and Tourism,Government, Democracy and Justice,Retail,Other |
| Impact Types | Cultural,Economic |