Towards Understanding How Personality, Motivation, and Events Trigger Web User Activity
Towards Understanding How Personality, Motivation, and Events Trigger Web User Activity
Towards Understanding How Personality, Motivation, and Events Trigger Web User Activity
Towards Understanding How Personality, Motivation, and Events Trigger Web User Activity
Towards Understanding How Personality, Motivation, and Events Trigger Web User Activity
Towards Understanding How Personality, Motivation, and Events Trigger Web User Activity
Towards Understanding How Personality, Motivation, and Events Trigger Web User Activity
Towards Understanding How Personality, Motivation, and Events Trigger Web User Activity
Towards Understanding How Personality, Motivation, and Events Trigger Web User Activity
Towards Understanding How Personality, Motivation, and Events Trigger Web User Activity
Towards Understanding How Personality, Motivation, and Events Trigger Web User Activity
Towards Understanding How Personality, Motivation, and Events Trigger Web User Activity
Towards Understanding How Personality, Motivation, and Events Trigger Web User Activity
Towards Understanding How Personality, Motivation, and Events Trigger Web User Activity
Towards Understanding How Personality, Motivation, and Events Trigger Web User Activity
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Towards Understanding How Personality, Motivation, and Events Trigger Web User Activity

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Web 2.0 provided internet users with a dynamic
medium, where information is updated continuously
and anyone can participate. Though preliminary anal-
ysis exists, there is still little understanding on what
exactly stimulates users to actively participate, create
and share content in online communities.In this paper
we present a methodology that aspires to identify and
analyze those events that trigger web user activity,
content creation and sharing in Web 2.0. Our ap-
proach is based on user personality and motivation,
and on the occurrence of events with a personal or
global impact. The proposed methodology was applied
on data collected from Flickr and analysis was per-
formed through the use of statistics and data mining
techniques.

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