Global structure: measure | Characteristic Network structural analysis |

Cohesion | Describes the interconnectedness of actors in a network. There are three types of measures of cohesion: |

Distance | Distance measures the number of ties that separate two actors. If two nodes are directly connected, the distance is one. If these two nodes are separated by one node, the distance is two, and so on. |

Reachability | Reachability defines the degree by which a node can be reached by other nodes. If a certain number are unreachable by some actors, it means that the network is fragmented. Reachability corresponds to the number of steps maximally needed to reach from one node to any other node in the network. |

Density | Density is defined as the number of existing ties divided by the number of possible ties. Dense networks are thought to be good for coordination of an activity among actors. However, the downside to having dense networks is that they can entrench a particular value system and norm. |

Centrality | The degree of centrality represents the number of ties an actor has. If an actor has many ties compared with other actors, this indicates that this actor has a central position in the network. Centrality can also characterise the shape of a whole network. To analyse centrality further, there are three measures: |

Degree centrality | Is the sum of all other actors who are directly to a particular actor. It signifies activity or popularity. |

Degree closeness | Is based on the notion of distance. If an actor is close to all others in the network (a distance of no more than one), then that actor is not dependent on any other actor to reach everyone in the network. |

Betweenness centrality | Is the number of times an actor connects pairs of other actors, who otherwise would not be able to reach one another, and is an indicator of the power that actor has in the network. |

Within structure: measure | Network pairwise (between-actor) analysis. |

Tie strength | Relates to the intensity of the connection between two actors. |

Embeddedness | Is the extent to which network members share common peers, reflecting the number of neighbours that two connected members have in common. |

Role and position: measure |
Characteristic
Network relational analysis |

Structural equivalence | Actors that have exactly the same ties to exactly the same others in a network. |

Regular equivalence | Less formal than structural equivalence. Actors who are defined as being regularly equivalent have identical ties, but not necessarily to identical others. |

Automorphic equivalence | Automorphic equivalence asks if the whole network can be re-arranged, putting different actors at different nodes, but leaving the relational structure or skeleton of the network intact. |