Abstract
This chapter considers social links formed within crowds of people, often captured digitally in social media networks, including the notions of ‘following’, ‘being followed’, ‘friends’, and ‘connections’. The kind of links within crowds are diverse. This chapter examines three ideas, the notion of favour networks within crowds, automatic social networking, and social networks for things.
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Notes
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http://fusion.net/story/319712/facebook-now-says-phone-location-not-used-to-recommend-friends/, https://www.theguardian.com/technology/2016/jun/29/how-does-facebook-suggest-potential-friends-not-location-data-not-now; for LinkedIn link suggestions, see https://www.linkedin.com/help/linkedin/answer/29/people-you-may-know-feature-overview?lang=en, and other articles on it, e.g., http://www.zdnet.com/article/how-linkedins-people-we-may-know-feature-is-so-accurate/.
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See the tutorial at http://www.social-iot.org/index.php?p=pubblicazioni&pu=14.
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Loke, S.W. (2017). Social Links for Crowds and Things. In: Crowd-Powered Mobile Computing and Smart Things. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-54436-6_6
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DOI: https://doi.org/10.1007/978-3-319-54436-6_6
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