Networks I Flashcards
1
Q
Collective intelligence
A
Impacts team performance
Improve CI
- Equal air time
- Social perceptiveness
Groups are just as prone to biases as individuals
2
Q
Nodes
A
People, entities, orgs
3
Q
Ties
A
Relationships
4
Q
Information
A
Information you cannot get from any other person
5
Q
Directed
A
Direction matters
6
Q
Undirected
A
Direction does not matter
7
Q
How do you get network data?
A
- Individual data through interviews, assessments, Outlook Exchange
- Full network data through surveys
- Full network data as by-product (email)
8
Q
Unobtrusive sources of network data
A
- Public records
- Comapny records
- Observation
- Evil methods
9
Q
What do we want to know from a network?
A
- Who’s important or “central”? Who are connectors, mavens, salesmen?
- Are there outliers or isolates?
- How dense (well-connected) is the network?
- Are there groups/clusters/cliques?
- Why does the network look like this?
10
Q
Centrality
A
- Degree- how many people am I tied to?
- Betweenness - how often am I on the shortest path (“geodesic”) between two other people?
- Closeness: how easily can I reach every other actor in the system?
- Eigenvector: how well-connected are those I’m connected to?
11
Q
Degree
A
Degree: # of contacts
Degree doesn’t give all info
Lois may be a connector where Bill is insular
12
Q
In-degree
A
“received ties” number of people who name you
- high in-degree: you are a maven
- ofted used as a measure of prestige
13
Q
Out-degree
A
“sent ties”: number of people whom you name
- high out degree: you are (a) clueless or (b) consultative
- Adv.: (out) degree can be assessed by individual
- Dis.: can mis-represent importance
14
Q
Individual measures of centrality
A
Degree
15
Q
Full network-based measures
A
Geodesic
Closeness centrality
Betweenness centrality
