Macro and micro level classification of social media private data

Abstract

In the modern world, social media private data evolves as a great asset to business and governments. While social media private data is a boon to the business, it is also causing concern to privacy regulators. We classify the social media data as the business and governments require. The social media private data is classified into two layers: macro level and micro level. The macro level classification is Static Private Data and Dynamic Private Data. The micro level classification includes four types: Personal Identity Data (Static), Relational Identity Data (Static), Personal Identity Data (Dynamic), and Relational Identity Data (Dynamic). Two software metrics “complexity” and “relevancy” are considered. Based on the macro and micro level classification, we measure the complexity and relevancy of social media private data from the perspectives of business and police communities. By conducting extensive experimental research, we study the relationship between different types of social media private data and different communities by the means of the two-metrics relevancy and complexity and justify the necessity of macro and micro level classification. The outcome of the experimental survey is interesting. Police officers are more interested in static private data than dynamic private data. Business managers are more interested in dynamic private data than static private data. While the police are interested in static private data, the business communities are interested in dynamic private data.