Brian Solis, on his excellent PR2.0 blog, posts about a new report on social networking on Twitter from Bernardo A. Huberman, Daniel M. Romero and Fang Wu of the Social Computing Laboratory at HP Labs who conducted an in-depth study of the relationships that power Twitter. The team recently released its report, "Social networks that matter: Twitter under the microscope."
The abstract:
Scholars, advertisers and political activists see massive online social networks as a representation of social interactions that can be used to study the propagation of ideas, social bond dynamics and viral marketing, among others. But the linked structures of social networks do not reveal actual interactions among people. Scarcity of attention and the daily rhythms of life and work makes people default to interacting with those few that matter and that reciprocate their attention. A study of social interactions within Twitter reveals that the driver of usage is a sparse and hidden network of connections underlying the “declared” set of friends and followers.
Brian writes:
The paper captures the definition of online relationships in the Social Web and why they are inherently ambient and not intimate as opposed to those we maintain in the real world. In life, we embrace those relationships that are mutually beneficial and not necessarily one-sided.
In social networks, however, many factors are present that impact the social graph as well as the ebb and flow of information and ultimately dictate what becomes a top trending topic, who garners relative authority, and also what goes viral.
According to the report, "A link between any two people does not necessarily imply an interaction between them. As we showed in the case of Twitter, most of the links declared within Twitter were meaningless from an interaction point of view. Thus the need to find the hidden social network; the one that matters when trying to rely on word of mouth to spread an idea,
a belief, or a trend."
The intentions of Social Networks and Micro Communities (such as Twitter) were genuine and innovative as they attempted to improve communication, sharing, and connectivity between friends, family, associates. The new social economy also aspired the building of bridges between the previously disconnected and interspersed relationships that join friends of a friend (FOAF).
What has evolved however, is so much more than the connection of friends and friends of friends. Social Networks have created a parallel friend/follower archetype that injects a homologous top-down network where individuals not only connect with those they know, but also with those who are interested in following their online activity, and not necessarily with the expectation of reciprocation. This injects a new dynamic into online social relationships, one that facilitates and fosters a less personal, but still meaningful engagement, creating an ambient, persona-audience interconnection.
In an attempt to measure influence while revealing relationships on Twitter, Benedikt Koehler developed Twitter Friends. Koehler's application is by far the most compelling and valuable analysis tool for measuring the @-crowd or "the relevant net," those people that any given user converses with most often.
He observes, "The number of people you follow on Twitter is not the whole truth. It’s more interesting [to see] who you are talking to whether you are following them or not. It [is] not a connection-based network but a performance-based network."
Brian has some great visualizations of his own network done using TwitterFriends. Here's a link to his post:
http://www.briansolis.com/2009/02/ties-that-binds-us-visualizing.html
