NDLI: Measuring media-based social interactions provided by smartphone applications in social networks

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Measuring media-based social interactions provided by smartphone applications in social networks

Content Provider	ACM Digital Library
Author	Gomes, Alan Keller Pimentel, Maria da Graça Campos
Abstract	Increasing varieties of applications for smartphones allow users to post (upload) multimedia content and interact in social networks. Usually modeled as a graph, social networks are achieved for applying data mining techniques in the analysis of social relations among users. However, these analyses do not make explicit which actions are performed, which types of medias and users' applications for mobile phone are used to provide social interactions. We have been investigating a human-readable technique for representing social interactions as behavioral contingencies -- if-then rules which describe what people do -- and measuring them using data mining procedures. In this paper we apply our technique for analyzing social interactions in group of Facebook users. We present results that enable us to identify the most symmetric social interaction and the smartphone users' application which provides the type of media used in the symmetric social interaction.
Starting Page	59
Ending Page	64
Page Count	6
File Format	PDF
ISBN	9781450309905
DOI	10.1145/2072627.2072644
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-12-01
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Media-based social interactions Smartphone applications Social networks Facebook User behavior
Content Type	Text
Resource Type	Article

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