Networks Flashcards

(14 cards)

1
Q

What is a social network?

A

A network that consists of nodes of people, edges of relationships and a topology of community

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2
Q

What is meant by centrality in a social network?

A

Each relationship comes from some central entity, usually the first entry

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3
Q

What are some examples of relationships you could use as edges in a social network? (pick 3)

A

Friends, mentions, retweets, likes, citations, co-occurrence

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4
Q

What is centrality?

A

The state or condition of being central

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5
Q

Centrality may be calculated as the degree of the node, which is…

A

The number of edges that are connected to this node

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6
Q

Centrality may be calculated as the eigenvector of the node, which is…

A

The differentiation of its neighbours’ centrality, putting each vertex proportional to the sum of its neighbours

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7
Q

Centrality may be calculated as the closeness of the node, which is…

A

The mean distance to other vertices, measured via Euclidean or Manhattan distance

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8
Q

Centrality may be calculated as the betweenness of the graph, which is…

A

The number of ‘shortest paths’ between vertexes that go through this one

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9
Q

Centrality may be calculated using PageRank, which is…

A

The number of nodes that point to it, or a node’s out-degree

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10
Q

Calculating centrality as its degree puts more importance on…

A

Highly connected nodes

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11
Q

Calculating centrality as its eigenvector puts more importance on…

A

Its connections’ connections

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12
Q

Calculating centrality as its closeness puts more importance on…

A

How connected it is with its community

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13
Q

Calculating centrality as its betweenness puts more importance on…

A

‘Brokers’ of the network, who facilitate connections between communities

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14
Q

Calculating centrality as its PageRank puts more importance on…

A

Nodes that people want to connect with

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