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== <span style="color: #FFFFFF;">Remembering</span> == * '''Graph Metrics''' β Quantitative measures used to describe the properties of a network or individual nodes within it. * '''Node''' (Vertex) β An "Entity" in the network (e.g., a Person, a Computer, a City). * '''Edge''' (Link) β The "Connection" between two nodes (e.g., a Friendship, a Physical Road, a Follower link). * '''Degree''' β The number of "Connections" a single node has (The "Popularity" metric). * '''Centrality''': ** '''Degree Centrality''' β Having the "Most" direct friends. ** '''Betweenness Centrality''' β Acting as a "Bridge" between groups; having power over the "Flow" of information. ** '''Closeness Centrality''' β Being "Fewest steps away" from everyone else (The "Fast Speaker"). ** '''Eigenvector Centrality''' β Being friends with "Important" people (The "Google PageRank" logic). * '''Density''' β The ratio of "Actual connections" to "Possible connections" (How "Tightly knit" a group is). * '''Clustering Coefficient''' β The likelihood that "Your friends are also friends with each other" (The "Clique" factor). * '''Average Path Length''' β The "Degrees of Separation"; how many steps it takes on average to get from any node to any other. * '''Diameter''' β The "Longest" path in the network (The "Width" of the graph). * '''Adjacency Matrix''' β A "Table of 0s and 1s" that computers use to "Represent" the network. </div> <div style="background-color: #006400; color: #FFFFFF; padding: 20px; border-radius: 8px; margin-bottom: 15px;">
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