Related Experiment Video
Updated: Nov 30, 2025

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
A survey of Big Data dimensions vs Social Networks analysis
Michele Ianni1, Elio Masciari2, Giancarlo Sperlí2
1DIMES - Department of Informatics, Modeling, Electronics and Systems, University of Calabria, 87036 Arcavacata, CS Italy.
Abstract:
The pervasive diffusion of Social Networks (SN) produced an unprecedented amount of heterogeneous data. Thus, traditional approaches quickly became unpractical for real life applications due their intrinsic properties: large amount of user-generated data (text, video, image and audio), data heterogeneity and high speed generation rate. More in detail, the analysis of user generated data 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 for both research and industry communities in the task of analyzing user behavior, user interactions, link evolution, opinion spreading and several other important aspects. This survey will focus on the analyses performed in last two decades on these kind of data w.r.t. the dimensions defined for Big Data paradigm (the so called Big Data 6 V's).
Related Concept Videos
Statistical Package for the Social Sciences (SPSS)
SPSS streamlines the process from data preparation to analysis and reporting. It is characterized by its user-friendly interface, which conceals...
Defining Social Psychology
Surveys
Review and Preview
Data: Types and Distribution
Distributions in...
Social Exchange Theory

