Social networks in the context of "Network theory"

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⭐ Core Definition: Social networks

A social network is a social structure consisting of a set of social actors (such as individuals or organizations), networks of dyadic ties, and other social interactions between actors. The social network perspective provides a set of methods for analyzing the structure of whole social entities along with a variety of theories explaining the patterns observed in these structures. The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine dynamics of networks. 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. Georg Simmel authored early structural theories in sociology emphasizing the dynamics of triads and "web of group affiliations". Jacob Moreno is credited with developing the first sociograms in the 1930s to study interpersonal relationships. These approaches were mathematically formalized in the 1950s and theories and methods of social networks became pervasive in the social and behavioral sciences by the 1980s. Social network analysis is now one of the major paradigms in contemporary sociology, and is also employed in a number of other social and formal sciences. Together with other complex networks, it forms part of the nascent field of network science.

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👉 Social networks in the context of Network theory

In mathematics, computer science, and network science, network theory is a part of graph theory. It defines networks as graphs where the vertices or edges possess attributes. Network theory analyses these networks over the symmetric relations or asymmetric relations between their (discrete) components.

Network theory has applications in many disciplines, including statistical physics, particle physics, computer science, electrical engineering, biology, archaeology, linguistics, economics, finance, operations research, climatology, ecology, public health, sociology, psychology, and neuroscience. Applications of network theory include logistical networks, the World Wide Web, Internet, gene regulatory networks, metabolic networks, social networks, epistemological networks, etc.; see List of network theory topics for more examples.

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Social networks in the context of Interpersonal ties

In social network analysis and mathematical sociology, interpersonal ties are defined as information-carrying connections between people. Interpersonal ties, generally, come in three varieties: strong, weak or absent. Weak social ties, it is argued, are responsible for the majority of the embeddedness and structure of social networks in society as well as the transmission of information through these networks. Specifically, more novel information flows to individuals through weak rather than strong ties. Because our close friends tend to move in the same circles that we do, the information they receive overlaps considerably with what we already know. Acquaintances, by contrast, know people that we do not, and thus receive more novel information.

Included in the definition of absent ties, according to the American sociologist Mark Granovetter, are those relationships (or ties) without substantial significance, such as "nodding" relationships between people living on the same street, or the "tie", for example, to a frequent vendor one would buy from. Such relations with familiar strangers have also been called invisible ties since they are hardly observable, and are often overlooked as a relevant type of ties. They nevertheless support people's sense of familiarity and belonging. Furthermore, the fact that two people may know each other by name does not necessarily qualify the existence of a weak tie. If their interaction is negligible the tie may be absent or invisible. The "strength" of an interpersonal tie is a linear combination of the amount of time, the emotional intensity, the intimacy (or mutual confiding), and the reciprocal services which characterize each tie.

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Social networks in the context of Microblogging

Microblogging is a form of blogging using short posts without titles known as microposts or status updates. Microblogs "allow users to exchange small elements of content such as short sentences, individual images, or video links", which may be the major reason for their popularity. Some popular social networks such as X (Twitter), Threads, Tumblr, Mastodon, and Bluesky can be viewed as collections of microblogs.

As with traditional blogging, users post about topics ranging from the simple, such as "what I'm doing right now", to the thematic, such as "sports cars". Commercial microblogs also exist to promote websites, services, and products and to promote collaboration within an organization.

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Social networks in the context of Barabási–Albert model

The Barabási–Albert (BA) model is an algorithm for generating random scale-free networks using a preferential attachment mechanism. Several natural and human-made systems, including the Internet, the World Wide Web, citation networks, and some social networks are thought to be approximately scale-free and certainly contain few nodes (called hubs) with unusually high degree as compared to the other nodes of the network. The BA model tries to explain the existence of such nodes in real networks. The algorithm is named for its inventors Albert-László Barabási and Réka Albert.

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Social networks in the context of Generation Alpha

Generation Alpha, often shortened to Gen Alpha, is the demographic cohort succeeding Generation Z and preceding the proposed Generation Beta. While researchers and popular media loosely identify the early 2010s as the starting birth years and the 2020s as the ending birth years, these ranges are not precisely defined and may vary depending on the source (see § Date and age range definitions). Named after alpha, the first letter of the Greek alphabet, Generation Alpha is the first to be born entirely in the 21st century and the third millennium. The majority of Generation Alpha are the children of Millennials.

Generation Alpha is the first generation not to have known a world without smartphones and social media. They were born at a time of falling fertility rates across much of the world, and experienced the effects of the COVID-19 pandemic as young children. In the 2020s, children's entertainment has been increasingly dominated by portable digital technology, social networks, and streaming services, with interest in traditional television concurrently falling. Changes in the use of technology in classrooms and other aspects of life have had a significant effect on how this generation has experienced early learning compared to previous generations. Studies have suggested that health problems related to screen time, allergies, and obesity became increasingly prevalent in the late 2010s.

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Social networks in the context of Micro-blogging

Microblogging is a form of blogging using short posts without titles known as microposts or status updates. Microblogs "allow users to exchange small elements of content such as short sentences, individual images, or video links", which may be the major reason for their popularity. Some popular social networks such as X (Twitter), Threads, Tumblr, Mastodon, Bluesky and Notes can be viewed as collections of microblogs.

As with traditional blogging, users post about topics ranging from the simple, such as "what I'm doing right now", to the thematic, such as "sports cars". Commercial microblogs also exist to promote websites, services, and products and to promote collaboration within an organization.

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