A survey of Big Data dimensions vs Social Networks analysis

• DOI: 10.1007/s10844-020-00629-2
• Publication Date: 2020-11-09T11:04:59Z
• Authors: Michele Ianni; Elio Masciari; Giancarlo Sperlí
• Keywords: Social network (sociolinguistics)

Abstract The pervasive diffusion of Social Networks (SN) produced an unprecedented amount heterogeneous data. Thus, traditional approaches quickly became unpractical for real life applications due their intrinsic properties: large user-generated data (text, video, image and audio), heterogeneity high speed generation rate. More in detail, the analysis user generated by popular social networks (i.e Facebook ( https://www.facebook.com/ ), Twitter https://www.twitter.com/ Instagram https://www.instagram.com/ LinkedIn https://www.linkedin.com/ )) poses quite intriguing challenges both research industry communities task analyzing behavior, interactions, link evolution, opinion spreading several other important aspects. This survey will focus on analyses performed last two decades these kind w.r.t. dimensions defined Big Data paradigm (the so called 6 V’s).