Social network analysis techniques can be used for narrative extraction on large textal corpora by finding subject-verb-object triplets (or actor-object pairs). [[Data Analysis]] Distributions in Social network analysis - **Bridge**: An individual whose weak ties fill a structural hole, providing the only link between two individuals or clusters. It also includes the shortest route when a longer one is unfeasible due to a high risk of message distortion or delivery failure. - **Centrality**: Centrality refers to a group of metrics that aim to quantify the "importance" or "influence" (in a variety of senses) of a particular node (or group) within a network.Examples of common methods of measuring "centrality" include betweenness centrality, closeness centrality, eigenvector centrality, alpha centrality, and degree centrality. - **Number density**: The proportion of direct ties in a network relative to the total number possible. - **Distance**: The minimum number of ties required to connect two particular actors, as popularized by Stanley Milgram's small world experiment and the idea of 'six degrees of separation'. - **Structural holes**: The absence of ties between two parts of a network. Finding and exploiting a structural hole can give an entrepreneur a competitive advantage. This concept was developed by sociologist Ronald Burt, and is sometimes referred to as an alternate conception of social capital. - **Tie Strength**: Defined by the linear combination of time, emotional intensity, intimacy and reciprocity (i.e. mutuality). Strong ties are associated with homophily, propinquity and transitivity, while weak ties are associated with bridges. perhaps our clients could be placed in the structural holes, so that they convey information more directly between two groups that would otherwise have a longer path of connection (slower info spread). Ref. [[Porter’s Five Forces]] Analyze corpora or social media in these ways to find content gaps (in client's corpus and in public). Seems like there are two core processes that social network analysis is trying to measure: selection (birds of a feather flock together) and influence (one rotten apple spoils the barrel) ("mavens"). I think a contact list app would have to take both into account. https://digitaltonto.com/2013/how-the-nsa-uses-social-network-analysis-to-map-terrorist-networks/ https://docs.google.com/document/d/1gI7rX3LFY-ANJaNutscJ5As8HX3Lj5IYUGU-c-swLKU/edit?usp=sharing