Term
|
Definition
|
|
Term
|
Definition
|
|
Term
|
Definition
| set of nodes and collection of links between these nodes |
|
|
Term
|
Definition
| Connected subset of network nodes and links |
|
|
Term
|
Definition
|
|
Term
|
Definition
|
|
Term
|
Definition
| an actor with one tie connected to a group |
|
|
Term
|
Definition
|
|
Term
|
Definition
| matrix showing the relationships between nodes (directed=non symmetric) |
|
|
Term
|
Definition
| Actor-actor & actor-event- bipartite sociomatrix |
|
|
Term
|
Definition
| Total number of links of a node- "popularity" in degree vs outdegree |
|
|
Term
|
Definition
How easily one actor can reach rest of network
•Actor with shortest average path length
•“Pulse-taker |
|
|
Term
|
Definition
How much an actor lies between distinct groups
•Number of geodesics passing through actor
•“Broker” |
|
|
Term
|
Definition
A node’s centrality is a function of its neighbors’ centralities
Highest between and\or degree central actor often highest eigenvaluecentral actor, but not always the case with less central actors |
|
|
Term
|
Definition
| actor highly central to network |
|
|
Term
|
Definition
| actor with unique links to two or more groups, but a member of neither |
|
|
Term
|
Definition
| actor who is a member of two or more groups |
|
|
Term
|
Definition
actor who is the sole link from one part of the network to another
-Insider brokering outsiders' access to group |
|
|
Term
|
Definition
|
|
Term
|
Definition
| outsider brokering between insiders |
|
|
Term
|
Definition
| insider brokering insiders' access to outsiders |
|
|
Term
|
Definition
| Network of trusted contacts in diverse social worlds |
|
|
Term
|
Definition
| given by trust in networks, Trust is first characteristic of Paul Revere network |
|
|
Term
|
Definition
Second paul revere network characteristic,
It helps you transcend your natural limitations |
|
|
Term
|
Definition
old, Formal power
- Directives, standard procedures |
|
|
Term
|
Definition
new, Networks
- Rainmakers, opinion leaders, connectors |
|
|
Term
|
Definition
| 3rd characteristic of PRevere network, It connects separate clusters of knowledge quickly and efficiently |
|
|
Term
|
Definition
Trust = Private Information
(Suspicion will save you 1 gold coin, but trust will earn you 2)
High Diversity
Low redundancy
High Brokerage
Diversity = Skills
(Diversity “squares” your value in a network)
Brokerage = Power
(6 Degrees of Separation is key) |
|
|
Term
|
Definition
|
|
Term
|
Definition
number of links
between two nodes (degrees of
separa2on) |
|
|
Term
|
Definition
Shortest path length
between two nodes |
|
|
Term
|
Definition
Each actor’s longest
geodesic |
|
|
Term
|
Definition
Network’s largest
geodesic\eccentricity |
|
|
Term
|
Definition
paths that bypass
clusters |
|
|
Term
|
Definition
| Observed edges in network / maximum possible edges |
|
|
Term
|
Definition
Count 2es among alters, removing ego and 2es to ego
• Observed 2es in actor’s ego network / maximum possible
2es in ego network |
|
|
Term
|
Definition
Varia2on in individual actors’ centrali2es
• High centraliza2on when few actors possess higher
centrality than average
• Low centraliza2on when actors all have similar
centrali2es |
|
|
Term
|
Definition
Paradox: Individuals within the
network are highly clustered but
also have small average geodesics
to other members
• Randomly rewiring a frac2on of
links on a regularly‐clustered
network dras2cally shortens
average eccentricity
• Random rewiring, however
s2ll maintains high clustering
over several orders of
magnitude |
|
|
Term
|
Definition
network of
all actors and their shared 2es, N
steps away from ego |
|
|
Term
|
Definition
Every actor is reachable from
every other actor |
|
|
Term
|
Definition
| Largest connected component |
|
|
Term
|
Definition
Subsets of actors that are
disconnected from each other |
|
|
Term
|
Definition
Subset of maximally‐connected
actors |
|
|
Term
| reciprocity, transitivity, closure |
|
Definition
transitivity- A>B & B>C =A>C
closure two two-way relationships in group of three being completed by third two-way relationship |
|
|
Term
|
Definition
| Places where people are unconnected in a network |
|
|
Term
|
Definition
Actors who exploit structural holes
• Gain access to informa2on, power to filter, 2ming
for compe22ve |
|
|
Term
|
Definition
| One actor having the same set of relations as another actor (siblings) |
|
|
Term
|
Definition
| sets having same patterns of ties and are completely substitutable (cousins) |
|
|
Term
|
Definition
One actor occupying a similar posi2on as
another actor (division managers) |
|
|
Term
|
Definition
Process of genera2ng highly equivalent posi2ons
• Greater trust,
high reciprocity and exchange
• Increasing redundancy,
greater constraint |
|
|
Term
|
Definition
If a graph is balanced, then either
•All pairs of nodes are friends
•There exist groups that are friendly within the group but members of groups are antagonistic to other groups |
|
|
Term
|
Definition
| Cliques, clans, plexes, & cores |
|
|
Term
|
Definition
| Weak & strong components, blocks & cutpoints, lambda sets & bridges |
|
|
Term
|
Definition
| Largest subset of actors that are directly and completely connected to the rest of the set |
|
|
Term
|
Definition
long and stringy
Largest subset of actors that are completely-connected with rest of the set within N steps
-possibly connected by non members |
|
|
Term
|
Definition
| Path between any two members of an N-clique must occur via members of the N-clique |
|
|
Term
|
Definition
Node is a member of a “clique” of size N if it has direct ties to N-K members of that “clique”
-create lots of sub groups |
|
|
Term
|
Definition
- more relaxed than k-plex
-Maximal group of actors all connected to K other members of the group
•Connection rather than immersion, closure, or clustering |
|
|
Term
|
Definition
| max group made by strong/weakly (valued) transitive triads |
|
|
Term
|
Definition
Removing a node creates a new component
•Resulting divisions are blocks |
|
|
Term
|
Definition
| Removing a link creates a new component |
|
|
Term
|
Definition
Importance of relationships based on flux through link
•“Betweenness centrality” for a link |
|
|
Term
|
Definition
tendency of actors to bond with those that are similar to themselves
-status homophily vs value-homophily |
|
|
Term
|
Definition
based on homophily and weak ties
-random graph generator that produces graph with small world properties (clustering and low average geodesic)
-but homogenous in degree (not a scale-free network) |
|
|
Term
| Cognitive social networks |
|
Definition
|
|
Term
| cognitive knowledge networks |
|
Definition
|
|
Term
|
Definition
| has ties to two people without ties to eachother |
|
|
