Abstract
| 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 |
|---|---|
| Country | Switzerland |
| City | Lausanne |
| Period | 5/12/12 → 7/12/12 |
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Keywords
- dynamic targeting
- online social medium
- anadynamic centrality measureslysing
- social media networks
- software
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Demonstration of dynamic targeting in an online social medium. / Higham, Desmond J.; Laflin, Peter; Ainley, Fiona; Otley, Amanda; Mantzaris, Alexander Vassilios.
2012. Poster session presented at SocInfo 2012, Lausanne, Switzerland.Research output: Contribution to conference › Poster
TY - CONF
T1 - Demonstration of dynamic targeting in an online social medium
AU - Higham, Desmond J.
AU - Laflin, Peter
AU - Ainley, Fiona
AU - Otley, Amanda
AU - Mantzaris, Alexander Vassilios
PY - 2012/12/5
Y1 - 2012/12/5
N2 - 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.
AB - 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.
KW - dynamic targeting
KW - online social medium
KW - anadynamic centrality measureslysing
KW - social media networks
KW - software
UR - http://www.socinfo2012.com/program/#schedule
M3 - Poster
ER -