Demonstration of dynamic targeting in an online social medium

Desmond J. Higham; Peter Laflin; Fiona Ainley; Amanda Otley; Alexander Vassilios Mantzaris

Demonstration of dynamic targeting in an online social medium

Desmond J. Higham, Peter Laflin, Fiona Ainley, Amanda Otley, Alexander Vassilios Mantzaris

Mathematics And Statistics

Research output: Contribution to conference › Poster › peer-review

1 Citation (Scopus)

71 Downloads (Pure)

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
Country/Territory	Switzerland
City	Lausanne
Period	5/12/12 → 7/12/12

Keywords

dynamic targeting
online social medium
anadynamic centrality measureslysing
social media networks
software

Access to Document

SocInfo2012Whisper PosterSubmitted manuscript, 0.99 MB

Cite this

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title = "Demonstration of dynamic targeting in an online social medium",

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.",

keywords = "dynamic targeting , online social medium, anadynamic centrality measureslysing , social media networks, software",

author = "Higham, {Desmond J.} and Peter Laflin and Fiona Ainley and Amanda Otley and Mantzaris, {Alexander Vassilios}",

year = "2012",

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language = "English",

note = "SocInfo 2012 ; Conference date: 05-12-2012 Through 07-12-2012",

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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

T2 - SocInfo 2012

Y2 - 5 December 2012 through 7 December 2012

ER -

Demonstration of dynamic targeting in an online social medium

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Commercial advantage through computational discovery of dynamic communicators in large digital networks

Cite this

Demonstration of dynamic targeting in an online social medium

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Impacts

Commercial advantage through computational discovery of dynamic communicators in large digital networks

Cite this