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The Structure of Networks


                  The most basic (micro) element of a network is a node connecting to
                  another node through a link.  This core unit, endlessly repeated, forms
                  simple or enormously complicated networks.  Such (macro)

                  aggregations have structural features and dynamics that are common
                  to almost all kinds of networks (e.g., electrical grids).  These structural
                  features have been elaborated in an enormous literature covering

                  many study disciplines.


                  From a business perspective there are three key ideas:


                      ●  The Idea of Ties. (Granovetter, 1973): This idea is important
                         as it relates to the spreading of information.

                         Strong ties include close friends and colleagues; these people
                         tend to move in the same circles, so the information they receive

                         overlaps considerably limiting the transfer of new information.

                         Weak social ties such as acquaintances are the dominant form
                         of transmission of information as they move in different circles
                         and bring novel information. These are termed weak as they are

                         characterized by minimal emotional intensity resulting from the
                         low time being devoted to them.

                         A special case of weak ties is hubs. Hubs are nodes with large
                         numbers of weak ties. Hubs are important in information

                         dissemination because of their large number of links. Hubs form
                         naturally and the distribution of sizes of hubs follows a power
                         law with a few very large hubs and a long tail of smaller nodes

                         with few (often string) links. Hubs are the basis of search engine
                         algorithms that measure the importance of a node by the
                         number of links it possesses.





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