Key aspects of covert networks data collection: Problems, challenges, and opportunities
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11210%2F19%3A10402246" target="_blank" >RIV/00216208:11210/19:10402246 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=VnKKmIlKsd" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=VnKKmIlKsd</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.socnet.2019.10.002" target="_blank" >10.1016/j.socnet.2019.10.002</a>
Alternative languages
Result language
angličtina
Original language name
Key aspects of covert networks data collection: Problems, challenges, and opportunities
Original language description
Data quality is considered to be among the greatest challenges in research on covert networks. This study identifies six aspects of network data collection, namely nodes, ties, attributes, levels, dynamics, and context. Addressing these aspects presents challenges, but also opens theoretical and methodological opportunities. Furthermore, specific issues arise in this research context, stemming from the use of secondary data and the problem of missing data. While each of the issues and challenges has some specific solution in the literature on organized crime and social networks, the main argument of this paper is to try and follow a more systematic and general solution to deal with these issues. To this end, three potentially synergistic and combinable techniques for data collection are proposed for each stage of data collection - biographies for data extraction, graph databases for data storage, and checklists for data reporting. The paper concludes with discussing the use of statistical models to analyse covert networks and the cultivation of relations within the research community and between researchers and practitioners.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50401 - Sociology
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Social Networks
ISSN
0378-8733
e-ISSN
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Volume of the periodical
69
Issue of the periodical within the volume
1
Country of publishing house
CH - SWITZERLAND
Number of pages
10
Pages from-to
160-169
UT code for WoS article
000777028500001
EID of the result in the Scopus database
2-s2.0-85074486350