From Victim to Survivor: A Multilayered Adaptive Mental Network Model of a Bully Victim

Fakhra Jabeen; Charlotte Gerritsen; Jan Treur

doi:10.1007/978-3-030-61401-0_63

From Victim to Survivor: A Multilayered Adaptive Mental Network Model of a Bully Victim

Fakhra Jabeen^*
, Charlotte Gerritsen
, Jan Treur

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Peer victimization is usually addressed with hazardous short and long term effects. Social surroundings and cyber technology act as a fertile ground for perpetrators to target victims. Fragile and lonely people are often targeted by aggressors or bullies who may make them feel like a ‘loser’. This results in their withdrawal from society and can result in suicidal or revenge thoughts. In this paper, we present a complex multi-layered adaptive mental network model based on cognitive and psychological literature. The network model is simulated for three type of victims: a) passive, b) assertive and c) ambivert using case studies. It can be used as a basis in classification and to provide support of the victims.

Original language	English
Title of host publication	Artificial Intelligence and Soft Computing
Subtitle of host publication	19th International Conference, ICAISC 2020, Proceedings, Part I
Editors	Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	679-689
Number of pages	11
Volume	1
ISBN (Electronic)	9783030614010
ISBN (Print)	9783030614003
DOIs	https://doi.org/10.1007/978-3-030-61401-0_63
Publication status	Published - 2020
Event	19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020 - Zakopane, Poland Duration: 12 Oct 2020 → 14 Oct 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer
Volume	12415 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020
Country/Territory	Poland
City	Zakopane
Period	12/10/20 → 14/10/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Keywords

Bully-Victim
Multilayered adaptive mental network
Victim of aggressor

Access to Document

10.1007/978-3-030-61401-0_63

Jabeen2020_Chapter_FromVictimToSurvivorAMultilayeredAdaptiveMentalNetworkModelOfABullyVictimFinal published version, 2.25 MBLicence: Article 25fa Dutch Copyright Act

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Jabeen, F., Gerritsen, C., & Treur, J. (2020). From Victim to Survivor: A Multilayered Adaptive Mental Network Model of a Bully Victim. In L. Rutkowski, R. Scherer, M. Korytkowski, W. Pedrycz, R. Tadeusiewicz, & J. M. Zurada (Eds.), Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Proceedings, Part I (Vol. 1, pp. 679-689). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12415 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-61401-0_63

Jabeen, Fakhra ; Gerritsen, Charlotte ; Treur, Jan. / From Victim to Survivor : A Multilayered Adaptive Mental Network Model of a Bully Victim. Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Proceedings, Part I. editor / Leszek Rutkowski ; Rafal Scherer ; Marcin Korytkowski ; Witold Pedrycz ; Ryszard Tadeusiewicz ; Jacek M. Zurada. Vol. 1 Springer Science and Business Media Deutschland GmbH, 2020. pp. 679-689 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "From Victim to Survivor: A Multilayered Adaptive Mental Network Model of a Bully Victim",

abstract = "Peer victimization is usually addressed with hazardous short and long term effects. Social surroundings and cyber technology act as a fertile ground for perpetrators to target victims. Fragile and lonely people are often targeted by aggressors or bullies who may make them feel like a {\textquoteleft}loser{\textquoteright}. This results in their withdrawal from society and can result in suicidal or revenge thoughts. In this paper, we present a complex multi-layered adaptive mental network model based on cognitive and psychological literature. The network model is simulated for three type of victims: a) passive, b) assertive and c) ambivert using case studies. It can be used as a basis in classification and to provide support of the victims.",

keywords = "Bully-Victim, Multilayered adaptive mental network, Victim of aggressor",

author = "Fakhra Jabeen and Charlotte Gerritsen and Jan Treur",

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language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "679--689",

editor = "Leszek Rutkowski and Rafal Scherer and Marcin Korytkowski and Witold Pedrycz and Ryszard Tadeusiewicz and Zurada, \{Jacek M.\}",

booktitle = "Artificial Intelligence and Soft Computing",

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Jabeen, F, Gerritsen, C & Treur, J 2020, From Victim to Survivor: A Multilayered Adaptive Mental Network Model of a Bully Victim. in L Rutkowski, R Scherer, M Korytkowski, W Pedrycz, R Tadeusiewicz & JM Zurada (eds), Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Proceedings, Part I. vol. 1, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12415 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 679-689, 19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020, Zakopane, Poland, 12/10/20. https://doi.org/10.1007/978-3-030-61401-0_63

From Victim to Survivor: A Multilayered Adaptive Mental Network Model of a Bully Victim. / Jabeen, Fakhra; Gerritsen, Charlotte ; Treur, Jan.
Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Proceedings, Part I. ed. / Leszek Rutkowski; Rafal Scherer; Marcin Korytkowski; Witold Pedrycz; Ryszard Tadeusiewicz; Jacek M. Zurada. Vol. 1 Springer Science and Business Media Deutschland GmbH, 2020. p. 679-689 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12415 LNAI).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - From Victim to Survivor

T2 - 19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020

AU - Jabeen, Fakhra

AU - Gerritsen, Charlotte

AU - Treur, Jan

PY - 2020

Y1 - 2020

N2 - Peer victimization is usually addressed with hazardous short and long term effects. Social surroundings and cyber technology act as a fertile ground for perpetrators to target victims. Fragile and lonely people are often targeted by aggressors or bullies who may make them feel like a ‘loser’. This results in their withdrawal from society and can result in suicidal or revenge thoughts. In this paper, we present a complex multi-layered adaptive mental network model based on cognitive and psychological literature. The network model is simulated for three type of victims: a) passive, b) assertive and c) ambivert using case studies. It can be used as a basis in classification and to provide support of the victims.

AB - Peer victimization is usually addressed with hazardous short and long term effects. Social surroundings and cyber technology act as a fertile ground for perpetrators to target victims. Fragile and lonely people are often targeted by aggressors or bullies who may make them feel like a ‘loser’. This results in their withdrawal from society and can result in suicidal or revenge thoughts. In this paper, we present a complex multi-layered adaptive mental network model based on cognitive and psychological literature. The network model is simulated for three type of victims: a) passive, b) assertive and c) ambivert using case studies. It can be used as a basis in classification and to provide support of the victims.

KW - Bully-Victim

KW - Multilayered adaptive mental network

KW - Victim of aggressor

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DO - 10.1007/978-3-030-61401-0_63

M3 - Conference contribution

AN - SCOPUS:85096550540

SN - 9783030614003

VL - 1

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 679

EP - 689

BT - Artificial Intelligence and Soft Computing

A2 - Rutkowski, Leszek

A2 - Scherer, Rafal

A2 - Korytkowski, Marcin

A2 - Pedrycz, Witold

A2 - Tadeusiewicz, Ryszard

A2 - Zurada, Jacek M.

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 12 October 2020 through 14 October 2020

ER -

Jabeen F, Gerritsen C , Treur J. From Victim to Survivor: A Multilayered Adaptive Mental Network Model of a Bully Victim. In Rutkowski L, Scherer R, Korytkowski M, Pedrycz W, Tadeusiewicz R, Zurada JM, editors, Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Proceedings, Part I. Vol. 1. Springer Science and Business Media Deutschland GmbH. 2020. p. 679-689. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2020 Oct 7. doi: 10.1007/978-3-030-61401-0_63

From Victim to Survivor: A Multilayered Adaptive Mental Network Model of a Bully Victim

Abstract

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UN SDGs

Keywords

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