dc.contributor.author |
Adeyemi, Ikuesan Richard
|
|
dc.contributor.author |
Razak, Shukor Abd
|
|
dc.contributor.author |
Salleh, Mazleena
|
|
dc.contributor.author |
Venter, H.S. (Hein)
|
|
dc.date.accessioned |
2017-05-31T07:01:39Z |
|
dc.date.available |
2017-05-31T07:01:39Z |
|
dc.date.issued |
2016-12-05 |
|
dc.description |
S1 Appendix. |
en_ZA |
dc.description.abstract |
Comprehension of the statistical and structural mechanisms governing human dynamics
in online interaction plays a pivotal role in online user identification, online profile development,
and recommender systems. However, building a characteristic model of human
dynamics on the Internet involves a complete analysis of the variations in human activity
patterns, which is a complex process. This complexity is inherent in human dynamics and
has not been extensively studied to reveal the structural composition of human behavior.
A typical method of anatomizing such a complex system is viewing all independent interconnectivity
that constitutes the complexity. An examination of the various dimensions of
human communication pattern in online interactions is presented in this paper. The study
employed reliable server-side web data from 31 known users to explore characteristics of
human-driven communications. Various machine-learning techniques were explored.
The results revealed that each individual exhibited a relatively consistent, unique behavioral
signature and that the logistic regression model and model tree can be used to accurately
distinguish online users. These results are applicable to one-to-one online user
identification processes, insider misuse investigation processes, and online profiling in
various areas.
Introduction |
en_ZA |
dc.description.department |
Computer Science |
en_ZA |
dc.description.librarian |
am2017 |
en_ZA |
dc.description.sponsorship |
Ministry of Education, Malaysia grant:
vote: R.J130000.7813.4F193 and Universiti
Teknologi Malaysia http://www.utm.my/ |
en_ZA |
dc.description.uri |
http://www.plosone.org |
en_ZA |
dc.identifier.citation |
Adeyemi IR, Razak SA, Salleh M, Venter
HS (2016) Observing Consistency in Online
Communication Patterns for User Re-Identification.
PLoS ONE 11(12): e0166930. DOI: 10.1371/journal.pone.0166930. |
en_ZA |
dc.identifier.issn |
1932-6203 |
|
dc.identifier.other |
10.1371/journal.pone.0166930 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/60726 |
|
dc.language.iso |
en |
en_ZA |
dc.publisher |
Public Library of Science |
en_ZA |
dc.rights |
© 2016 Adeyemi et al. This is an open
access article distributed under the terms of the
Creative Commons Attribution License. |
en_ZA |
dc.subject |
Online interaction |
en_ZA |
dc.subject |
Human dynamics |
en_ZA |
dc.subject |
Internet |
en_ZA |
dc.subject |
Human behavior |
en_ZA |
dc.title |
Observing consistency in online communication patterns for user re-identification |
en_ZA |
dc.type |
Article |
en_ZA |