An Introduction to Social Network Analysis —
* degrees– s kolkatimi ludmi som priamo spojeny, castokrat “the more connections, the better” pristup when one connects only those who are already connected to each other; what really matters is where those connections lead to — and how they connect the otherwise unconnected,
* betweenness– ludia na spojeniach medzi inak nespojenymi skupinami, bez nich by info medzi nimi netieklo,
* closeness– ak mam blizke spojenia s ludmi, som rychlejsie pri info, ale zase nie som s vela ludmi,
* boundary spanners– are well-positioned to be innovators, since they have access to ideas and information flowing in other clusters. They are in a position to combine different ideas and knowledge, found in various places, into new products and services,
* peripheral players– are often connected to networks that are not currently mapped, making them very important resources for fresh information not available inside the group,
* Network Centralization– 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,
* Structural Equivalence – determine which nodes play similar roles in the network,
* Cluster Analysis – find cliques and other densely connected clusters,
* Structural Holes – find areas of no connection between nodes that could be used for advantage or opportunity,
* E/I Ratio – find which groups in the network are open or closed to others,
* Small Worlds – find node clustering, and short path lengths, that are common in networks exhibiting highly efficient small-world behavior.