Lecture 1: Social network Analysis Flashcards

1
Q

Evaluating and changing your alliance portfolio configuration

A
  • Count and analyse open and closed ties
  • Use the CAT tool (industry, market power, breadth of product portfolio)
  • develop portfolio adjustment plan
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2
Q

Build open ties

A

5 ways:

1) partner with a complementors
2) partner with makers of substitutes
3) partner with new industry entrant
4) partner with your partner’s competitors
5) partner with your direct competitors

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3
Q

Build closed ties

A

4 ways:

1) make referrals
2) seek referrals
3) neutralise a broker
4) form a union

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4
Q

Definition:status

A

Perceived level of leadership and influence a firm has in its industry.
- operational status: quality of products and strength of the brand
- network status: depends on the leadership and influence of your partners
Nb: Reputation is part of status

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5
Q

Characteristics that contributes to status

A
  • financial success
  • possession of valuable capabilities
  • quality product/services
  • reputation of honest dealings
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6
Q

Advantages of high status

A
  • information: share more information with high status firms
  • cooperation: attractive partner
  • Power: influence others make them comply
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7
Q

5 PR stratégies to increase your status

A

1) take leadership role in industry events (participate, sponsor)
2) develop communication strategy around critical industry issues
3) become a convener of industry events (organise)
4) announce small wins with alliance partners
5) become a thought leader on alliances and beyond (get engaged with researchers and teachers, get someone to write about you)

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8
Q

Boundary definition

A
  • exogenously: industry group
  • relationally: 3 steps from core sets of nodes
  • methodologically: data collection
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9
Q

Layout

A
  • random
  • sphere
  • fruchterman-reingold
  • kamada-kawai
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10
Q

Degree centrality

A

Number of edges a node has.
Degree of exposure to whatever is transmitted in the network.
- in degree: people following me
- out degree: people I follow

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11
Q

Clustering coefficient

A

Count the number of links between nodes in ego network and divide by the number of possible links between them.

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12
Q

Eigenvector

A

Ax=lambda x

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