NDLI: On optimising personal network size to manage information flow

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On optimising personal network size to manage information flow

Content Provider	ACM Digital Library
Author	Cheng, Tammy M.K. Crowcroft, Jon Lu, Yu-En Dunbar, Robin Roberts, Sam Lió, Pietro
Abstract	PN refer to the set of ties a specific individual has with other people. There is significant variation in the size of an individual's PN and this paper explores the effect of variation in PN size on information flow through complete social networks. We analyse degree distributions from two personal network datasets and seek to characterise PN size variations. Random matrix analysis is used to demonstrate that the specific mixture of PN sizes plays an important role in shaping the pattern of information dissemination in complete social networks. To explore this further, we conducted a series of studies on normal random graphs that represent social networks in which PN size follows a normal distribution. We demonstrate that there are three critical parameters which influence how information flows through a social network: the mean PN size, the variance in PN size and the rate at which information passes between nodes in the network. The results suggests that if the rate of information flow is increased, for example by using electronic communication rather than face-to-face communication, this could have a dramatic influence on the probability of an individual acquiring a piece of information from a person in their network.
Starting Page	19
Ending Page	26
Page Count	8
File Format	PDF
ISBN	9781605588070
DOI	10.1145/1651274.1651279
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-11-06
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Random matrix theory Social networks Spectral graph theory
Content Type	Text
Resource Type	Article

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