INFORMATION RETRIVAL FROM SOCIAL NETWORKING

Twinkle Patel, Hiten Sadani
unpublished
Large quantities of information are shared through online social networks, making them attractive sources of data for social network research. When studying the usage of online social networks, these data may not describe properly users' behaviours of online social networks. For instance, the data collected often include content shared by the users only, or content accessible to the researchers, hence obfuscating a large amount of data that would help understanding users' behaviours. there has
more » ... een enlarged significance to uses the underlying network structure at the same time the available information on social peers to improve the data requires of a client. In this we focus on improve the performance of information collection from the neighbourhood of a user in a dynamic social network. We introduce and analyze variants of the basic sampling scheme exploring correlations across our samples. Models of centralized and distributed social networks are considered.
fatcat:kgmmnuod7zd7tmvrrydohq7iei