Social network

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A social network is a social structure between actors, mostly individuals or organizations. It indicates the ways in which they are connected through various social familiarities ranging from casual acquaintance to close familial bonds. The term was first coined in 1954 by J. A. Barnes (in: Class and Committees in a Norwegian Island Parish, "Human Relations").

Social network analysis (also sometimes called network theory) has emerged as a key technique in modern sociology, anthropology, Social Psychology and organizational studies, as well as a popular topic of speculation and study. Research in a number of academic fields have demonstrated that social networks operate on many levels, from families up to the level of nations, and play a critical role in determining the way problems are solved, organizations are run, and the degree to which individuals succeed in achieving their goals.

Social networking also refers to a category of Internet applications to help connect friends, business partners, or other individuals together using a variety of tools. These applications are covered under Internet social networks below, and in the external links at the end of the article.

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Introduction to social networks

An example of a social network diagram
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An example of a social network diagram

Social network theory views social relationships in terms of nodes and ties. Nodes are the individual actors within the networks, and ties are the relationships between the actors. There can be many kinds of ties between the nodes. In its most simple form, a social network is a map of all of the relevant ties between the nodes being studied. The network can also be used to determine the social capital of individual actors. These concepts are often displayed in a social network diagram, where nodes are the points and ties are the lines.

The shape of the social network helps determine a network's usefulness to its individuals. Smaller, tighter networks can be less useful to their members than networks with lots of loose connections (weak ties) to individuals outside the main network. More "open" networks, with many weak ties and social connections, are more likely to introduce new ideas and opportunities to their members than closed networks with many redundant ties. In other words, a group of friends who only do things with each other already share the same knowledge and opportunities. A group of individuals with connections to other social worlds is likely to have access to a wider range of information. It is better for individual success to have connections to a variety of networks rather than many connections within a single network. Similarly, individuals can exercise influence or act as brokers within their social networks by bridging two networks that are not directly linked (called filling social holes).

The power of social network theory stems from its difference from traditional sociological studies, which assume that it is the attributes of individual actors -- whether they are friendly or unfriendly, smart or dumb, etc. -- that matter. Social network theory produces an alternate view, where the attributes of individuals are less important than their relationships and ties with other actors within the network. This approach has turned out to be useful for explaining many real-world phenomena, but leaves less room for individual agency, the ability for individuals to influence their success, so much of it rests within the structure of their network.

Social networks have also been used to examine how companies interact with each other, characterizing the many informal connections that link executives together, as well as associations and connections between individual employees at different companies. These networks provide ways for companies to gather information, deter competition, and even collude in setting prices or policies.

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Applications of social network theory

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Applications in social science

Social network theory in the social sciences began with the urbanization studies of the "Manchester School" (centered around Max Gluckman), done mainly in Zambia during the 1960s. It was followed up with the field of sociometry, an attempt to quantify social relationships. Scholars such as Mark Granovetter expanded the use of social networks, and they are now used to help explain many different real-life phenomena in the social sciences. Power within organizations, for example, has been found to come more from the degree to which an individual within a network is at the center of many relationships than actual job title. Social networks also play a key role in hiring, in business success for firms, and in job performance.

Social network theory is an extremely active field within academia. The International Network for Social Network Analysis is an academic association of social network analysts. Many social network tools for scholarly work are available online (like "UCINet") and are relatively easy to use to present graphical images of networks.

Diffusion of innovations theory explores social networks and their role in influencing the spread of new ideas and practices. Change agents and opinion leaders often play major roles in spurring the adoption of innovations, although factors inherent to the innovations also play a role.

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Popular applications

The so-called rule of 150 states that the size of a genuine social network is limited to about 150 members (sometimes called the Dunbar Number). The rule arises from cross-cultural studies in sociology and especially anthropology of the maximum size of a village (in modern parlance most reasonably understood as an ecovillage). It is theorized in evolutionary psychology that the number may be some kind of limit of average human ability to recognize members and track emotional facts about all members of a group. However, it may be due to economics and the need to track "free riders", as larger groups tend to be easier for cheats and liars to prosper in.

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Degrees of Separation and the Global Social Network

The small world phenomenon is the hypothesis that the chain of social acquaintances required to connect one arbitrary person to another arbitrary person anywhere in the world is generally short. The concept gave rise to the famous phrase six degrees of separation after a 1967 small world experiment by psychologist Stanley Milgram which found that two random US citizens were connected by an average of six acquaintances. Current internet experiments continue to explore this phenomenon, including the Ohio State Electronic Small World Project and Columbia's Small World Project. As of 2005, these experiments confirm that about five to seven degrees of separation are sufficient for connecting any two people through the internet.

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Internet social networks

Main article: Social network service
See also: List of social networking sites

Whilst there was evidence of social networking on the Web in 1997, with Websites such as sixdegree.com, it was not until 2001 that Websites using the Circle of Friends online social networks started appearing. This form of social networking became widly used in virtual communities, becoming particularly popular in 2003 with the advent of websites such as Friendster, Tribe.net, MySpace, XuQa and LinkedIn. There are over 200 social networking sites, though Friendster is one of the most successful at using the Circle of Friends technique. The popularity of these sites rapidly grew, and major companies have entered the Internet social networking space. For example, Google launched orkut on 22 January 2004. Other search engines such as KaZaZZ! and Yahoo added social networks in 2005.

In these communities, an initial set of founders sends out messages inviting members of their own personal networks to join the site. New members repeat the process, growing the total number of members and links in the network. Sites then offer features such as automatic address book updates, viewable profiles, the ability to form new links through "introduction services," and other forms of online social connections. Social networks can also be organized around business connections, as for example in the case of Shortcut.

Blended networking is an approach to social networking that blends offline and online elements together to create a blend. A human social network is blended if it supported by both face-to-face events and an online community. The two elements of the blend support one another. See also Social computing.


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See also

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External links

Retrieved from "http://en.wikipedia.org/wiki/Social_network"
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