http://www.mojocreator.com/social-media/social-network-analysis-report-for-2012/
Social Network Analysis: Comprehending the Important Info
Social network analysis is the weighing and charting of interaction and flow between people, groups, personal computers, URLs, and similar entities. The nodes in the network seem to be the people and groups while the links show relationships or flows between the nodes. Social network analysis provides both a visual and a mathematical analysis of human relationships.
To understand networks and their participants, we evaluate the location of actors in the network. Measuring the network location is finding the centrality of a node. These measures give us insight into the various roles and groupings in a network -- who are the connectors, mavens, leaders, bridges, isolates, where are the clusters and who is in them, who is in the core of the network, and who is on the periphery?
Social network analysis researchers measure network activity for a node by using the concept of degrees -- the number of direct connections a node has. The participant that has the most direct connections in the network, is the most active node in the network. That person is a 'connector' or 'hub' in this network. Common wisdom in personal networks is "the more connections, the better." This is not always so. What really matters is where those connections lead to -- and how they connect the otherwise unconnected.
Individual network centralities provide insight into the individual's location in the network. The relationship between the centralities of all nodes can reveal much about the overall network structure.
A very centralized network is dominated by one or a few very central nodes. If these nodes are removed or damaged, the network quickly fragments into unconnected sub-networks. A highly central node can become a single point of failure. A network centralized around a well connected hub can fail abruptly if that hub is disabled or removed. Hubs are nodes with high degree and betweeness centrality.
Social Network Analysis: Comprehending the Important Info
Social network analysis is the weighing and charting of interaction and flow between people, groups, personal computers, URLs, and similar entities. The nodes in the network seem to be the people and groups while the links show relationships or flows between the nodes. Social network analysis provides both a visual and a mathematical analysis of human relationships.
To understand networks and their participants, we evaluate the location of actors in the network. Measuring the network location is finding the centrality of a node. These measures give us insight into the various roles and groupings in a network -- who are the connectors, mavens, leaders, bridges, isolates, where are the clusters and who is in them, who is in the core of the network, and who is on the periphery?
Social network analysis researchers measure network activity for a node by using the concept of degrees -- the number of direct connections a node has. The participant that has the most direct connections in the network, is the most active node in the network. That person is a 'connector' or 'hub' in this network. Common wisdom in personal networks is "the more connections, the better." This is not always so. What really matters is where those connections lead to -- and how they connect the otherwise unconnected.
Individual network centralities provide insight into the individual's location in the network. The relationship between the centralities of all nodes can reveal much about the overall network structure.
A very centralized network is dominated by one or a few very central nodes. If these nodes are removed or damaged, the network quickly fragments into unconnected sub-networks. A highly central node can become a single point of failure. A network centralized around a well connected hub can fail abruptly if that hub is disabled or removed. Hubs are nodes with high degree and betweeness centrality.
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