Abstract
In this paper, we present a social network analytics platform with a NoSQL Graph datastore. The platform was developed for facilitating communication, management of interactions and the boosting of social capital in large organisations. As with the majority of social software, our platform requires a large scale of data to be consumed, processed and exploited for the generation of its automated social networks. The platforms purpose is to reduce the cost and effort attributed to managing and maintaining communication strategies within an organisation through the analytics performed upon social networks generated from existing data. The following paper focuses on the process of acquiring and processing redundant calendar data available to all organisations and processing it into a social network that can be analysed.
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Davies-Tagg, D., Anjum, A., Hill, R. (2015). A Platform for Analytics on Social Networks Derived from Organisational Calendar Data. In: Trovati, M., Hill, R., Anjum, A., Zhu, S., Liu, L. (eds) Big-Data Analytics and Cloud Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-25313-8_10
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DOI: https://doi.org/10.1007/978-3-319-25313-8_10
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