Online communityAn online community, also called an internet community or web community, is a community whose members interact with each other primarily via the Internet. Members of the community usually share common interests. For many, online communities may feel like home, consisting of a "family of invisible friends". Additionally, these "friends" can be connected through gaming communities and gaming companies. Those who wish to be a part of an online community usually have to become a member via a specific site and thereby gain access to specific content or links.
Virtual communityA virtual community is a social network of individuals who connect through specific social media, potentially crossing geographical and political boundaries in order to pursue mutual interests or goals. Some of the most pervasive virtual communities are online communities operating under social networking services. Howard Rheingold discussed virtual communities in his book, The Virtual Community, published in 1993. The book's discussion ranges from Rheingold's adventures on The WELL, computer-mediated communication, social groups and information science.
Online research communityAn online research community (part of Research 2.0) is a part of an emerging and developing area in market research making use of developments in Web 2.0 technologies and online communities. They allow qualitative research to be conducted efficiently and deeply online. Both public and private online communities offer opportunities for research, but many brands are wary of sharing company information openly. Invitation-only, private online communities centred on a single brand or customer segment may be the solution.
Virtual community of practiceAn online community of practice (OCoP), also known as a virtual community of practice (VCoP), is a community of practice (CoP) that is developed on, and is maintained using the Internet. To qualify as an OCoP, the characteristics of a community of practice (CoP) as described by Lave and Wenger must be met. To this end, an OCoP must include active members who are practitioners, or "experts," in the specific domain of interest. Members must participate in a process of collective learning within their domain.
Online participationOnline participation is used to describe the interaction between users and online communities on the web. Online communities often involve members to provide content to the website and/or contribute in some way. Examples of such include wikis, blogs, online multiplayer games, and other types of social platforms. Online participation is currently a heavily researched field. It provides insight into fields such as web design, online marketing, crowdsourcing, and many areas of psychology.
Betweenness centralityIn graph theory, betweenness centrality is a measure of centrality in a graph based on shortest paths. For every pair of vertices in a connected graph, there exists at least one shortest path between the vertices such that either the number of edges that the path passes through (for unweighted graphs) or the sum of the weights of the edges (for weighted graphs) is minimized. The betweenness centrality for each vertex is the number of these shortest paths that pass through the vertex.
CentralityIn graph theory and network analysis, indicators of centrality assign numbers or rankings to nodes within a graph corresponding to their network position. Applications include identifying the most influential person(s) in a social network, key infrastructure nodes in the Internet or urban networks, super-spreaders of disease, and brain networks. Centrality concepts were first developed in social network analysis, and many of the terms used to measure centrality reflect their sociological origin.
Network theoryIn mathematics, computer science and network science, network theory is a part of graph theory. It defines networks as graphs where the nodes 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.
Network scienceNetwork science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive and semantic networks, and social networks, considering distinct elements or actors represented by nodes (or vertices) and the connections between the elements or actors as links (or edges). The field draws on theories and methods including graph theory from mathematics, statistical mechanics from physics, data mining and information visualization from computer science, inferential modeling from statistics, and social structure from sociology.
Student's t-testA t-test is a type of statistical analysis used to compare the averages of two groups and determine if the differences between them are more likely to arise from random chance. It is any statistical hypothesis test in which the test statistic follows a Student's t-distribution under the null hypothesis. It is most commonly applied when the test statistic would follow a normal distribution if the value of a scaling term in the test statistic were known (typically, the scaling term is unknown and therefore a nuisance parameter).
