Illuminating Dark Networks
Herausgeber: Gerdes, Luke M.
Illuminating Dark Networks
Herausgeber: Gerdes, Luke M.
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Illuminating Dark Networks discusses new necessary methods to understand dark networks, because these clandestine groups differ from transparent organizations.
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Illuminating Dark Networks discusses new necessary methods to understand dark networks, because these clandestine groups differ from transparent organizations.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Cambridge University Press
- Seitenzahl: 276
- Erscheinungstermin: 25. Juni 2015
- Englisch
- Abmessung: 235mm x 157mm x 21mm
- Gewicht: 605g
- ISBN-13: 9781107102699
- ISBN-10: 1107102693
- Artikelnr.: 42768544
- Herstellerkennzeichnung
- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
- Verlag: Cambridge University Press
- Seitenzahl: 276
- Erscheinungstermin: 25. Juni 2015
- Englisch
- Abmessung: 235mm x 157mm x 21mm
- Gewicht: 605g
- ISBN-13: 9781107102699
- ISBN-10: 1107102693
- Artikelnr.: 42768544
- Herstellerkennzeichnung
- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
Introduction Luke M. Gerdes; 1. Covert network analysis: an exchange
network theory perspective Elisa Jayne Bienenstock and Michael Salwen; 2.
Dark dimensions: classifying relationships among clandestine actors Luke M.
Gerdes; 3. Disrupting and dismantling dark networks: lessons from social
network analysis and law enforcement simulations David A. Bright; 4. The
methodological challenges of extracting dark networks: minimizing false
positives through ethnography Michael Kenney and Stephen Coulthart; 5.
Detecting dark networks using geo-temporal and pattern based network
analysis techniques Rich La Valley, Abe Usher and Alexander Halman; 6.
LookingGlass: a visual intelligence platform for tracking social movements
Hasan Davulcu and Mark Woodward; 7. Open source exploitation for
understanding covert networks Kathleen M. Carley; 8. Simulating and
analyzing dark networks: modeling and measuring using network tools David
C. Arney, Jocelyn R. Bell, Kathryn A. Coronges and Greg Merkl; 9. Criminal
social network intelligence analysis with the GANG software Paulo
Shakarian, Michael Martin, John Bertetto, Bradley Fischl, Joseph Hannigan,
Guillermo Hernandez, Evan Kenney, Jacob Lademan, Damon Paulo and Christian
Young; 10. A new approach for identification of multiple threat scenarios
to counter CBRN networks Ronald Breiger and Lauren Pinson; 11. Casting more
light on dark networks: a stochastic actor-oriented longitudinal analysis
of the Noordin top terrorist network Daniel Cunningham, Sean F. Everton and
Philip J. Murphy; 12. Generating illicit networks: multi-level agent-based
modeling and network formation rules among extremists Steve Scheinert; 13.
Challenges to understanding covert groups Carl A. B. Pearson, Burton H.
Singer and Edo Airoldi; 14. Dynamic actor-oriented models as a tool for the
analysis of dark networks in a multiply connected actor-oriented
environment Marc Anthony Johnson, Anthony N. Johnson and David C. Arney.
network theory perspective Elisa Jayne Bienenstock and Michael Salwen; 2.
Dark dimensions: classifying relationships among clandestine actors Luke M.
Gerdes; 3. Disrupting and dismantling dark networks: lessons from social
network analysis and law enforcement simulations David A. Bright; 4. The
methodological challenges of extracting dark networks: minimizing false
positives through ethnography Michael Kenney and Stephen Coulthart; 5.
Detecting dark networks using geo-temporal and pattern based network
analysis techniques Rich La Valley, Abe Usher and Alexander Halman; 6.
LookingGlass: a visual intelligence platform for tracking social movements
Hasan Davulcu and Mark Woodward; 7. Open source exploitation for
understanding covert networks Kathleen M. Carley; 8. Simulating and
analyzing dark networks: modeling and measuring using network tools David
C. Arney, Jocelyn R. Bell, Kathryn A. Coronges and Greg Merkl; 9. Criminal
social network intelligence analysis with the GANG software Paulo
Shakarian, Michael Martin, John Bertetto, Bradley Fischl, Joseph Hannigan,
Guillermo Hernandez, Evan Kenney, Jacob Lademan, Damon Paulo and Christian
Young; 10. A new approach for identification of multiple threat scenarios
to counter CBRN networks Ronald Breiger and Lauren Pinson; 11. Casting more
light on dark networks: a stochastic actor-oriented longitudinal analysis
of the Noordin top terrorist network Daniel Cunningham, Sean F. Everton and
Philip J. Murphy; 12. Generating illicit networks: multi-level agent-based
modeling and network formation rules among extremists Steve Scheinert; 13.
Challenges to understanding covert groups Carl A. B. Pearson, Burton H.
Singer and Edo Airoldi; 14. Dynamic actor-oriented models as a tool for the
analysis of dark networks in a multiply connected actor-oriented
environment Marc Anthony Johnson, Anthony N. Johnson and David C. Arney.
Introduction Luke M. Gerdes; 1. Covert network analysis: an exchange
network theory perspective Elisa Jayne Bienenstock and Michael Salwen; 2.
Dark dimensions: classifying relationships among clandestine actors Luke M.
Gerdes; 3. Disrupting and dismantling dark networks: lessons from social
network analysis and law enforcement simulations David A. Bright; 4. The
methodological challenges of extracting dark networks: minimizing false
positives through ethnography Michael Kenney and Stephen Coulthart; 5.
Detecting dark networks using geo-temporal and pattern based network
analysis techniques Rich La Valley, Abe Usher and Alexander Halman; 6.
LookingGlass: a visual intelligence platform for tracking social movements
Hasan Davulcu and Mark Woodward; 7. Open source exploitation for
understanding covert networks Kathleen M. Carley; 8. Simulating and
analyzing dark networks: modeling and measuring using network tools David
C. Arney, Jocelyn R. Bell, Kathryn A. Coronges and Greg Merkl; 9. Criminal
social network intelligence analysis with the GANG software Paulo
Shakarian, Michael Martin, John Bertetto, Bradley Fischl, Joseph Hannigan,
Guillermo Hernandez, Evan Kenney, Jacob Lademan, Damon Paulo and Christian
Young; 10. A new approach for identification of multiple threat scenarios
to counter CBRN networks Ronald Breiger and Lauren Pinson; 11. Casting more
light on dark networks: a stochastic actor-oriented longitudinal analysis
of the Noordin top terrorist network Daniel Cunningham, Sean F. Everton and
Philip J. Murphy; 12. Generating illicit networks: multi-level agent-based
modeling and network formation rules among extremists Steve Scheinert; 13.
Challenges to understanding covert groups Carl A. B. Pearson, Burton H.
Singer and Edo Airoldi; 14. Dynamic actor-oriented models as a tool for the
analysis of dark networks in a multiply connected actor-oriented
environment Marc Anthony Johnson, Anthony N. Johnson and David C. Arney.
network theory perspective Elisa Jayne Bienenstock and Michael Salwen; 2.
Dark dimensions: classifying relationships among clandestine actors Luke M.
Gerdes; 3. Disrupting and dismantling dark networks: lessons from social
network analysis and law enforcement simulations David A. Bright; 4. The
methodological challenges of extracting dark networks: minimizing false
positives through ethnography Michael Kenney and Stephen Coulthart; 5.
Detecting dark networks using geo-temporal and pattern based network
analysis techniques Rich La Valley, Abe Usher and Alexander Halman; 6.
LookingGlass: a visual intelligence platform for tracking social movements
Hasan Davulcu and Mark Woodward; 7. Open source exploitation for
understanding covert networks Kathleen M. Carley; 8. Simulating and
analyzing dark networks: modeling and measuring using network tools David
C. Arney, Jocelyn R. Bell, Kathryn A. Coronges and Greg Merkl; 9. Criminal
social network intelligence analysis with the GANG software Paulo
Shakarian, Michael Martin, John Bertetto, Bradley Fischl, Joseph Hannigan,
Guillermo Hernandez, Evan Kenney, Jacob Lademan, Damon Paulo and Christian
Young; 10. A new approach for identification of multiple threat scenarios
to counter CBRN networks Ronald Breiger and Lauren Pinson; 11. Casting more
light on dark networks: a stochastic actor-oriented longitudinal analysis
of the Noordin top terrorist network Daniel Cunningham, Sean F. Everton and
Philip J. Murphy; 12. Generating illicit networks: multi-level agent-based
modeling and network formation rules among extremists Steve Scheinert; 13.
Challenges to understanding covert groups Carl A. B. Pearson, Burton H.
Singer and Edo Airoldi; 14. Dynamic actor-oriented models as a tool for the
analysis of dark networks in a multiply connected actor-oriented
environment Marc Anthony Johnson, Anthony N. Johnson and David C. Arney.