Cyber-offenders versus traditional offenders: An empirical comparison

Research output: PhD ThesisPhD Thesis - Research external, graduation VUAcademic

Original languageEnglish
QualificationPhD
Awarding Institution
  • Vrije Universiteit Amsterdam
Supervisors/Advisors
  • Bernasco, W., Supervisor
  • Ruiter, Stijn, Supervisor, External person
  • van Gelder, Jean-Louis, Co-supervisor, External person
Thesis sponsors
Award date26 Jan 2018
Print ISBNs9789492801180, 9492801183
Publication statusPublished - 2018

Keywords

  • cyber-offenders versus traditional offenders;
  • cybercrime;
  • cyber-dependent crime;
  • cyber-trespass;
  • comparison;
  • traditional crime;
  • criminology;
  • life-course;
  • victim-offender overlap;
  • risk factors;
  • ego-centred social networks;
  • similarity in deviance;
  • motivations;
  • cybercrime clusters

Cite this

@phdthesis{b9af19431b2c4052ad8041c547c2f88c,
title = "Cyber-offenders versus traditional offenders: An empirical comparison",
keywords = "cyber-offenders versus traditional offenders;, cybercrime;, cyber-dependent crime;, cyber-trespass;, comparison;, traditional crime;, criminology;, life-course;, victim-offender overlap;, risk factors;, ego-centred social networks;, similarity in deviance;, motivations;, cybercrime clusters",
author = "{Weulen Kranenbarg}, M.",
year = "2018",
language = "English",
isbn = "9789492801180",
school = "Vrije Universiteit Amsterdam",

}

Cyber-offenders versus traditional offenders : An empirical comparison. / Weulen Kranenbarg, M.

2018. 229 p.

Research output: PhD ThesisPhD Thesis - Research external, graduation VUAcademic

TY - THES

T1 - Cyber-offenders versus traditional offenders

T2 - An empirical comparison

AU - Weulen Kranenbarg, M.

PY - 2018

Y1 - 2018

KW - cyber-offenders versus traditional offenders;

KW - cybercrime;

KW - cyber-dependent crime;

KW - cyber-trespass;

KW - comparison;

KW - traditional crime;

KW - criminology;

KW - life-course;

KW - victim-offender overlap;

KW - risk factors;

KW - ego-centred social networks;

KW - similarity in deviance;

KW - motivations;

KW - cybercrime clusters

M3 - PhD Thesis - Research external, graduation VU

SN - 9789492801180

SN - 9492801183

ER -