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A social network diagram displaying friendship ties among a set of Facebook users.. Social network analysis (SNA) is the process of investigating social structures through the use of networks and graph theory. [1]
For instance, social network analysis has been used in studying the spread of misinformation on social media platforms or analyzing the influence of key figures in social networks. Social networks and the analysis of them is an inherently interdisciplinary academic field which emerged from social psychology, sociology, statistics, and graph theory.
Social media allows for mass cultural exchange and intercultural communication, despite different ways of communicating in various cultures. [226] Social media has affected the way youth communicate, by introducing new forms of language. [227] Novel acronyms save time, as illustrated by "LOL", which is the ubiquitous shortcut for "laugh out loud".
Networks can consist of anything from families, [1] project teams, classrooms, sports teams, legislatures, nation-states, disease vectors, membership on networking websites like Twitter or Facebook, or even the Internet.
Social media analytics or social media monitoring is the process of gathering and analyzing data from social networks such as Facebook, Instagram, LinkedIn, or Twitter. A part of social media analytics is called social media monitoring or social listening. It is commonly used by marketers to track online conversations about products and companies.
The first modern KBBI dictionary was published during the 5th Indonesian Language Congress on 28 October 1988. The first edition contains approximately 62,000 entries. The dictionary was compiled by a team led by the Head of the Language Center, Anton M. Moeliono, with chief editors Sri Sukesi Adiwimarta and Adi Sunaryo. [1]
Content analysis is the study of documents and communication artifacts, known as texts e.g. photos, speeches or essays. Social scientists use content analysis to examine patterns in communication in a replicable and systematic manner. [1]
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some specific sense defined by the analyst) to each other than to those in other groups (clusters).