ABSTRACT
Big Data studies in social sciences and communication studies are often based on fluid platforms that are mainly commercial network sites such as Google or Twitter. The term 'Big Data' relates to the analysis of code figurations within magnitudes of 'high volume', 'velocity', and 'high variety'. The methodological debate of Big Data requires substantial rethinking of transnational research to fully comprehend the emerging 'communicative' turn in social sciences in order to assess the dimensions of communicative 'reflexive' axes, meandering in fine lines across all societies and unfolding a discursive spectrum of digital geographies. This chapter discusses the communicative matrix of the 'all at onceness' in contexts of a new 'blueprint' framework of no longer transnational communication but rather a public ecology where communicative trajectories meander across societies. Algorithm codes are aggregated by software tools operating across strings of either 'fluid' networks, such as 'live' networks, or 'static' sites, such as fixed public or corporate sector data sets.
