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Social Blade (sometimes spelled SocialBlade) is an American social media analytics website. Social Blade most notably tracks the YouTube platform, but also has analytical information regarding Twitch, Facebook, Instagram, Twitter, TikTok, Trovo, Dailymotion, Mixer, and DLive. Social Blade functions as a third-party API, providing its users with ...
Buffer is a software application for the web and mobile, designed to manage accounts in social networks, by providing the means for a user to schedule posts to Bluesky, YouTube, Twitter, Facebook, Mastodon, Instagram, Threads, Pinterest, TikTok and LinkedIn, as well as analyze their results and engage with their community.
Graph-tool is a python module for efficient analysis of graphs. Its core data structures and algorithms are implemented in C++, with heavy use of Template metaprogramming, based on the Boost Graph Library. It contains a comprehensive list of algorithms. R: Social network analysis within the versatile and popular R environment
A buzz graph for the term "teszt" on Twitter in a social media monitoring tool. 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 ...
Facebook's Graph API is one such API that social media monitoring solution products would connect to pull data from. [19] Some social media monitoring and analytics companies use calls to data providers each time an end-user develops a query. Others will also store and index social posts to offer historical data to their customers.
Zoom Video Communications United States: 2012 300 million daily participants [36] 2. Meet: Google United States: 2017 100 million daily participants [37] 3. iMessage: Apple Inc. United States: 2011 1.4 billion active Apple devices [38] 4. FaceTime: Apple Inc. United States: 2011 1.4 billion active Apple devices [38]
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When talking about social data analytics, there are a number of factors it's important to keep in mind (which we noted earlier): [1] Sophisticated Data Analysis: what distinguishes social data analytics from sentiment analysis is the depth of the analysis. Social data analysis takes into consideration a number of factors (context, content ...
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