💬 Implicit social graphs – mirroring life.

Replied to Implicit social graphs – mirroring life. by Colin WalkerColin Walker (colinwalker.blog)

I have a saved Twitter search for the hashtag #saintsfc which I use to watch for updates and talk to other fans when Southampton Football Club are playing. The fans join together for a short period due to a shared interest and return to their usual timelines after the match but this type of graph is recreated in a similar form at the next game.

Repeated interactions within implicit graphs can lead to a bleed from the implicit to explicit – once you get to know some of those from the implicit graph they become ‘friends’ and, after a while, can be invited over in to the explicit graph.

Colin, your discussion of ‘implicit’ and ‘explicit’ has me thinking about Dron and Anderson’s book Teaching Crowd:

In the book Teaching Crowds, Dron and Anderson unpack the different ways that people gather within online spaces. To do so, they focus on three key modes of learning:

  • Groups: Distinct entities independent of membership, groups are structured around formal lines of authority. An example are the various learning management systems. Organised hierarchically, they do not allow for cross-system dissemination.
  • Networks: Based on individual connections, networks evolve through interactions. Examples of such spaces are social network platforms, such as Facebook and LinkedIn. These spaces create the means easily sharing and connecting with others.
  • Sets: Bound together by a commonality, with sets there are no expectations of personal engagement. Some examples of sets are social interest sites, such as Pinterest. Both of which provide means of easily finding similar ideas.

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