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One thing the most visited websites have in common is that they are dynamic websites. Their development typically involves server-side coding, client-side coding and database technology. The programming languages applied to deliver such dynamic web content vary vastly between sites.
This is a list of social platforms with at least 100 million monthly active users. [a] The list includes social networks, as well as online forums, photo and video sharing platforms, messaging and VoIP apps.
Social networking software provides the technological basis for community driven content sharing and social networking. See also Comparison of software and protocols for distributed social networking, especially for open-source software. Comparison of microblogging and similar services may also be relevant.
Open protocol that enables global, decentralized, and censorship-resistant social media. Servers (relays) and clients Multiple implementations Public Domain Nostr Yes ActivityPub & Minds: Hundreds of relays: stable Peergos [44] P2P storage, social network, and application protocol p2p, server, web-client Java, Go, Javascript AGPLv3 libp2p, bitswap
Social networking sites (ex: Digg, Reddit, Propeller, etc.) run on a virtuous cycle of content (stories, pictures, videos) attracting users who interact with the content (voting, commenting) and who are then inspired to provide new content (original or culled from outside sources), thereby attracting more readers, etc., etc. (see Web 2.0)
Server-side scripting is a technique used in web development which involves employing scripts on a web server which produces a response customized for each user's (client's) request to the website. Scripts can be written in any of a number of server-side scripting languages that are available.
Social network aggregation is the process of collecting content from multiple social network services into a unified presentation. Examples of social network aggregators include Hootsuite or FriendFeed, which may pull together information into a single location [1] or help a user consolidate multiple social networking profiles into a single profile.
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 ...