Abstract
We will demonstrate new software for analysing social media networks, such as Twitter and Facebook, in real time to calculate influence ratings that identify influential individuals and assess sentiment within a conversation. The software utilises the new dynamic centrality measures [1,2] developed at the Universities of Reading and Strathclyde and allows a changing social network to be investigated quickly and accurately. The influence score is different to those produced by Klout and Peer Index. The score calculated by the software focuses on a specific conversation rather than a specific individual. When assessed by social media experts, the scores produced by the software have been verified to be more representative and realistic than Klout and Peer Index in relation to specific conversations.
| Original language | English |
|---|---|
| Number of pages | 1 |
| Publication status | Published - 5 Dec 2012 |
| Event | SocInfo 2012 - Lausanne, Switzerland Duration: 5 Dec 2012 → 7 Dec 2012 |
Conference
| Conference | SocInfo 2012 |
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| Country | Switzerland |
| City | Lausanne |
| Period | 5/12/12 → 7/12/12 |
Keywords
- dynamic targeting
- online social medium
- anadynamic centrality measureslysing
- social media networks
- software
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Impacts
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Commercial advantage through computational discovery of dynamic communicators in large digital networks
Desmond Higham (Participant), Ernesto Estrada (Participant) & Peter Grindrod (Participant)
Impact: Impact - for External Portal › Economic and commerce
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