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The lack of a sampling frame (i.e., a complete list of users) for most Online Social Networks (OSNs) makes sampling methods especially difficult. Thus, reliable and efficient sampling methods are essential for practical estimation of OSN properties. Recent work in this area has thus focused on sampling methods that allow precise inference from a relatively large-scale social networks such as Facebook...
Sampling the content of an Online Social Network (OSN) is a major application area due to the growing interest in collecting social information e.g., email, location, age and number of friends. Large-scale social networks such as Facebook can be difficult to sample due to the amount of data and the privacy settings imposed by this company. Sampling techniques require the development of reliable algorithms...
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