Editing Social network analysis (section)

===Distributions===
[[Bridge (graph theory)|Bridge]]: An individual whose weak ties fill a [[Structural holes|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.<ref name="Granovetter, M. 1973 1360–1380">{{cite journal |last1=Granovetter |first1=Mark S. |title=The Strength of Weak Ties |journal=American Journal of Sociology |date=May 1973 |volume=78 |issue=6 |pages=1360–1380 |doi=10.1086/225469 |s2cid=59578641 }}</ref>

[[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.<ref>{{cite book|author=Hansen, Derek|title=Analyzing Social Media Networks with NodeXL|publisher=Morgan Kaufmann|year=2010|isbn=978-0-12-382229-1|page=32|url=https://books.google.com/books?id=rbxPm93PRY8C&pg=PA32|display-authors=etal}}</ref><ref>{{cite book|author=Liu, Bing|title=Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data|publisher=Springer|year=2011|isbn=978-3-642-19459-7|page=271|url=https://books.google.com/books?id=jnCi0Cq1YVkC&pg=PA271}}</ref><ref>{{cite book|author=Hanneman, Robert A.|author2=Riddle, Mark|name-list-style=amp|chapter=Concepts and Measures for Basic Network Analysis|title=The Sage Handbook of Social Network Analysis|publisher=SAGE|year=2011|isbn=978-1-84787-395-8|pages=364–367|chapter-url=https://books.google.com/books?id=2chSmLzClXgC&pg=PA364}}</ref><ref>{{cite book|author1=Tsvetovat, Maksim |author2=Kouznetsov, Alexander|name-list-style=amp|title=Social Network Analysis for Startups: Finding Connections on the Social Web|publisher=O'Reilly|year=2011|isbn=978-1-4493-1762-1|page=45|url=https://books.google.com/books?id=hVOxjkoLSiEC&pg=PA45}}</ref>  Examples of common methods of measuring "centrality" include [[betweenness centrality]],<ref name="comprehensive"/> [[closeness centrality]], [[eigenvector centrality]], [[alpha centrality]], and [[degree centrality]].<ref>{{cite journal |last1=Opsahl |first1=Tore |last2=Agneessens |first2=Filip |last3=Skvoretz |first3=John |title=Node centrality in weighted networks: Generalizing degree and shortest paths |journal=Social Networks |date=July 2010 |volume=32 |issue=3 |pages=245–251 |doi=10.1016/j.socnet.2010.03.006 }}</ref>

[[Dense graph|Density]]: The proportion of direct ties in a network relative to the total number possible.<ref>{{cite book|chapter=Social Network Analysis|title=Field Manual 3-24: Counterinsurgency|publisher=Headquarters, [[Department of the Army]]|pages=B–11 – B–12|chapter-url=https://fas.org/irp/doddir/army/fm3-24.pdf}}</ref><ref>{{cite book|author=Xu, Guandong |title=Web Mining and Social Networking: Techniques and Applications|publisher=Springer|year=2010|isbn=978-1-4419-7734-2|page=25|url=https://books.google.com/books?id=mXo9zKeYa6cC&pg=PA25|display-authors=etal}}</ref>

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 Stuart Burt|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).<ref name="Granovetter, M. 1973 1360–1380"/> Strong ties are associated with homophily, propinquity and transitivity, while weak ties are associated with bridges.