October 2013: Social-Network-Sourced Big Data Analytics

posted Oct 10, 2013, 11:28 AM by Symeon Papadopoulos
Wei Tan, M. Brian Blake, Iman Saleh, Schahram Dustdar, "Social-Network-Sourced Big Data Analytics," IEEE Internet Computing, vol. 17, no. 5, pp. 62-69, Sept.-Oct. 2013, doi:10.1109/MIC.2013.100

Abstract: Very large datasets, also known as big data, originate from many domains, including healthcare, energy, weather, business, and social networks. Deriving knowledge is more difficult than ever when we must do it by intricately processing big data. Organizations rely on third-party, commodity computing resources or clouds to gather the computational resources required to manipulate data of this magnitude. Although social networks are perhaps among the largest big data producers, the collaboration that results from leveraging this paradigm could help to solve big data processing challenges. Here, the authors explore using personal ad hoc clouds comprised of individuals in social networks to address such challenges.