Fresher’s guide to basic Social Network Analysis (SNA) Terminology:

Alter |
A person to whom the focal individual is connected |

Betweenness centrality |
A measure of how often a given vertex lies on the shortest path between two other vertices, or the vertex’s role as a ‘bridge’/ quantifies the number of times a node acts as a bridge along the shortest path between two other nodes. |

Broker |
Bridge that acts as a link between nodes |

Centrality |
How important a vertex is within the network |

Closeness centrality |
The average distance between a vertex and every other vertex in the network, measures to what extent the vertex is directly connected to others in network. Measuring closeness in a twitter network allows a researcher to measure of how long it will take to spread information from the main node to all other nodes sequentially. |

Clustering coefficient |
Measurement of density in a 1.5 degree network |

Component |
A disconnected piece of a single network |

Degree centrality |
Overall number if edges connected to a particular vertex (i.e. the number of ties that a node has) |

Ego |
The person who is the focus of the study |

Eigenvector centrality |
Measures the extent to which a vector’s connections are well connected (i.e measures the influence of a node in a network. |

Group |
Vertices that are well connected to each other than they are to others in the network. Groups emerge as highly interconnected sets of actors known as cliques and clusters |

In-degree |
A count of the number of ties directed to the node/The number of connections that point inward at a vertex. When ties are associated to some positive aspects such as friendship or collaboration. It is often interpreted as a form of popularity |

Network Density |
Measures the extent to which vertices are highly connected. Measures the number of “actual” relations or ties as a proportion of the number of theoretically possible relations or ties |

Node |
A connection point |

Out-degree |
The number of ties that the node directs to others. |

Range |
Varying size and heterogeneity of social networks |

Structural hole |
A third person who bridges the gap between pairs which are not directly connected. |

###### Related articles

- NodeXL: Learning from Visualizations of Social Media Networks (chronicle.com)
- 2013 Women to Watch: Anne-Laure Grillot (bizjournals.com)

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