Title
Revealing Hidden Connections in Recommendation Networks.
Abstract
Companies have been increasingly seeking new mechanisms for making their electronic marketing campaigns to become viral, thus obtaining a cascading recommendation effect similar to word-of-mouth. We analysed a dataset of a magazine publisher that uses email as the main marketing strategy and found out that networks emerging from those campaigns form a very sparse graph. We show that online social networks can be effectively used as a means to expand recommendation networks. Starting from a set of users, called seeders, we crawled Googleu0027s Orkut and collected about 20 million users and 80 million relationships. Next, we extended the original recommendation network by adding new edges using Orkut relationships that built a much denser network. Therefore, we advocate that online social networks are much more effective than email-based marketing campaigns
Year
Venue
Field
2016
arXiv: Social and Information Networks
Marketing strategy,Electronic marketing,World Wide Web,Social network,Computer science,Dense graph
DocType
Volume
Citations 
Journal
abs/1606.07088
0
PageRank 
References 
Authors
0.34
14
3
Name
Order
Citations
PageRank
Rogerio Minhano100.34
Stenio Fernandes26714.59
Carlos Alberto Kamienski37710.32