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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.
Social network analysis ( SNA) is the process of investigating social structures through the use of networks and graph theory. [1] It characterizes networked structures in terms of nodes (individual actors, people, or things within the network) and the ties, edges, or links (relationships or interactions) that connect them.
Social media mining. Social media mining is the process of obtaining data from user-generated content on social media in order to extract actionable patterns, form conclusions about users, and act upon the information. Mining supports targeting advertising to users or academic research. The term is an analogy to the process of mining for minerals.
Social media intelligence. Social media intelligence ( SMI or SOCMINT) comprises the collective tools and solutions that allow organizations to analyze conversations, respond to synchronize social signals, and synthesize social data points into meaningful trends and analysis, based on the user's needs. Social media intelligence allows one to ...
The social media measurement process starts with defining a goal that needs to be achieved and defining the expected outcome of the process. The expected outcome varies per the goal and is usually measured by a variety of metrics. This is followed by defining possible social strategies to be used to achieve the goal.
Social media reach is a media analytics metric that refers to the number of users who have come across a particular content on a social platform such as Facebook, Instagram or Twitter. [1] Social media platforms including Facebook, Twitter, YouTube, Instagram, Spotify and many more have their own individual ways of tracking, analyzing and ...
Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. Sentiment analysis is widely applied to voice of the customer materials such as ...
Social network analysis within the versatile and popular R environment R will read in almost any format data file R has write capability for most data formats Windows, Linux, Mac Open source R contains several packages relevant for social network analysis: igraph is a library collection for creating and manipulating graphs and analyzing ...