Abstract
Collecting and collating the data from different Social Network sites (SNS) at one place is a concern of today’s scenario. A social network aggregator performs this task by drawing information together from multiple SNS’s like Facebook, Twitter, and LinkedIn. It also unifies multiple social networking profiles into a single profile. The content presented by these aggregators appears in real time and there is easy switching between the multiple networks. There are many existing Social network aggregators based on the content and features. However, this paper focuses on the content-based architecture of social network aggregator that provides integrated search across multiple social networks.
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Virmani, C., Pillai, A., Juneja, D. (2018). Content-Based Social Network Aggregation. In: Saini, A., Nayak, A., Vyas, R. (eds) ICT Based Innovations. Advances in Intelligent Systems and Computing, vol 653. Springer, Singapore. https://doi.org/10.1007/978-981-10-6602-3_18
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DOI: https://doi.org/10.1007/978-981-10-6602-3_18
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