DocumentCode
592148
Title
Towards Maximising Cross-Community Information Diffusion
Author
Belak, V. ; Lam, Stanley ; Hayes, Caroline
Author_Institution
DERI, NUI Galway, Galway, Ireland
fYear
2012
fDate
26-29 Aug. 2012
Firstpage
171
Lastpage
178
Abstract
In recent years, companies have started to utilise online social communities as a means of communicating with and targeting their employees and customers, and such online communities include discussion fora. The conversational dynamics of users in fora can influence their neighbours in the underlying social network. We make use of such influence to target specific communities with information, i.e. post in them, because a post is generally shared with the community and not just with individual users. In short, we study information diffusion across communities and show that we can achieve high community (and user) spread using an efficient targeting strategy. In order to achieve this, we use a set of novel measures for cross-community influence and show that it outperforms other targeting strategies on two different data-sets: the largest Irish online discussion system, Boards.ie, and technical support fora, SAP SCN.
Keywords
business data processing; personnel; social networking (online); Boards.ie; Irish online discussion system; SAP SCN; companies; conversational dynamics; cross-community information diffusion; customer; data-set; discussion fora; employee; online social communities; social network; technical support fora; Business; Communities; Diffusion processes; Entropy; Message systems; Robustness; Social network services; cross-community analysis; information diffusion; online discussions; social influence;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Social Networks Analysis and Mining (ASONAM), 2012 IEEE/ACM International Conference on
Conference_Location
Istanbul
Print_ISBN
978-1-4673-2497-7
Type
conf
DOI
10.1109/ASONAM.2012.38
Filename
6425767
Link To Document