Information Technology Reference
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Perception of Online Social Networks
Travis Green and Aaron Quigley
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Abstract.
This paper examines data derived from an application on Facebook.com
that investigates the relations among members of their online social network. It
confirms that online social networks are more often used to maintain weak
connections but that a subset of users focus on strong connections, determines that
connection intensity to both connected people predicts perceptual accuracy, and
shows that intra-group connections are perceived more accurately. Surprisingly, a
user's sex does not influence accuracy, and one's number of friends only mildly
correlates with accuracy indicating a flexible underlying cognitive structure. Users'
reports of significantly increased numbers of weak connections indicate increased
diversity of information flow to users. In addition the approach and dataset represent
a candidate “ground truth” for other proximity metrics. Finally, implications in
epidemiology, information transmission, network analysis, human behavior,
economics, and neuroscience are summarized. Over a period of two weeks, 14,051
responses were gathered from 166 participants, approximately 80 per participant,
which overlapped on 588 edges representing 1341 responses, approximately 10% of
the total. Participants were primarily university-age students from English-speaking
countries, and included 84 males and 82 females. Responses represent a random
sampling of each participant's online connections, representing 953,969 possible
connections, with the average participant having 483 friends. Offline research has
indicated that people maintain approximately 8-10 strong connections from an
average of 150-250 friends. These data indicate that people maintain online
approximately 40 strong ties and 185 weak ties over an average of 483 friends.
Average inter-group accuracy was below the guessing rate at 0.32, while accuracy on
intra-group connections converged to the guessing rate, 0.5, as group size increased.
Keywords:
social network analysis, social network perception, node proximity.
