GEOGRAPHY OF RISK: ATTRIBUTIVE ANALYSIS AND MAPPING OPEN DATA OF ROSFINMONITORING

An analysis and mapping of manifestations of extremism is presented based on the open electronic resource “List of organizations and individuals in relation to which there is information about their involvement in extrem- ist activities or terrorism” of the Federal Service for Financial Monitoring (Rosfinmonitoring). The List data makes it possible to analyze the gender and age composition of these individuals, establish their localization and concentration in the regions of Russia, and sort the list of persons by type of crime: involvement in extremist crimes (EC) and terrorist crimes (TC). Methods of digital humanities, in-depth structuring, attribute analysis and mapping of data in the form of point objects were used. The study showed that the vast majority of individuals on the List are involved in crimes of a terrorist nature; a high level of involvement of women in these crimes was noted, and the age groups most susceptible to radicalization were identified; mapping of the List data shows the concentration of risk points in the south of the country, mainly in the North Caucasus, in the Republic of Dagestan; The distribution of risk points on the map clearly demonstrates the areas where measures to prevent extremism and terrorism are most needed. The study is relevant from the point of view of predictive analytics and prevention of extremism and terrorism; a conclusion was made about the feasibility of developing a geographic information system based on Rosfinmonitoring data to conduct spatial analysis in con- junction with a comprehensive assessment of the socio-economic and ethnopolitical situation in the regions.

Authors

Publication Details

Journal
Izvestia Ufimskogo Nauchnogo Tsentra RAN
Published
2024-12-10
DOI
https://doi.org/10.31040/2222-8349-2024-0-4-158-168
Primary Topic
Regional Socio-Economic Development Trends
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

GEOGRAPHY OF RISK: ATTRIBUTIVE ANALYSIS AND MAPPING OPEN DATA OF ROSFINMONITORING

A.B. Yunusova
Izvestia Ufimskogo Nauchnogo Tsentra RAN
Regional Socio-Economic Development Trends
article

GEOGRAPHY OF RISK: ATTRIBUTIVE ANALYSIS AND MAPPING OPEN DATA OF ROSFINMONITORING

A.B. Yunusova
article en

Abstract

An analysis and mapping of manifestations of extremism is presented based on the open electronic resource “List of organizations and individuals in relation to which there is information about their involvement in extrem- ist activities or terrorism” of the Federal Service for Financial Monitoring (Rosfinmonitoring). The List data makes it possible to analyze the gender and age composition of these individuals, establish their localization and concentration in the regions of Russia, and sort the list of persons by type of crime: involvement in extremist crimes (EC) and terrorist crimes (TC). Methods of digital humanities, in-depth structuring, attribute analysis and mapping of data in the form of point objects were used. The study showed that the vast majority of individuals on the List are involved in crimes of a terrorist nature; a high level of involvement of women in these crimes was noted, and the age groups most susceptible to radicalization were identified; mapping of the List data shows the concentration of risk points in the south of the country, mainly in the North Caucasus, in the Republic of Dagestan; The distribution of risk points on the map clearly demonstrates the areas where measures to prevent extremism and terrorism are most needed. The study is relevant from the point of view of predictive analytics and prevention of extremism and terrorism; a conclusion was made about the feasibility of developing a geographic information system based on Rosfinmonitoring data to conduct spatial analysis in con- junction with a comprehensive assessment of the socio-economic and ethnopolitical situation in the regions.

Izvestia Ufimskogo Nauchnogo Tsentra RANVol. 0(4)
Gender equality
Openalex Percentile: Top 57%
Regional Socio-Economic Development Trends
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.