Èññëåäîâàíèå ñòðóêòóðû ñîöèàëüíîãî ãðàôà ïîëüçîâàòåëåé  Êîíòàêòå, ñîñòîÿùèõ â ãðóïïàõ, ïðîïàãàíäèðóþùèõ êðèìèíàëüíóþ ñóáêóëüòóðó (íà ïðèìåðå ãîðîäà Èðêóòñê) ... Àëõàñîâ Ñ.Ñ.Èññëåäîâàíèå ñòðóêòóðû ñîöèàëüíîãî ãðàôà ïîëüçîâàòåëåé  Êîíòàêòå, ñîñòîÿùèõ â ãðóïïàõ, ïðîïàãàíäèðóþùèõ êðèìèíàëüíóþ ñóáêóëüòóðó (íà ïðèìåðå ãîðîäà Èðêóòñê) // Íàó÷íîå îáîçðåíèå. Cåðèÿ 2. Ãóìàíèòàðíûå íàóêè. — 2020. — No 3-4. — Ñ. 52-58. DOI: 10.26653/2076-4685-2020-3-4-05.ISSN 2076-4685DOI: 10.26653/2076-4685-2020-3-4-05Ðàçìåùåíà íà ñàéòå: 12.01.21 Ïîèñêàòü ïîëíûé òåêñò íà Google AcademiaÑñûëêà ïðè öèòèðîâàíèè:Àëõàñîâ Ñ.Ñ. Èññëåäîâàíèå ñòðóêòóðû ñîöèàëüíîãî ãðàôà ïîëüçîâàòåëåé  Êîíòàêòå, ñîñòîÿùèõ â ãðóïïàõ, ïðîïàãàíäèðóþùèõ êðèìèíàëüíóþ ñóáêóëüòóðó (íà ïðèìåðå ãîðîäà Èðêóòñê) // Íàó÷íîå îáîçðåíèå. Cåðèÿ 2. Ãóìàíèòàðíûå íàóêè. — 2020. — No 3-4. — Ñ. 52-58. DOI: 10.26653/2076-4685-2020-3-4-05. DOI: 10.26653/2076-4685-2020-3-4-05.Alkhasov S.S. Study of the structure of the social graph of VKontakte users — members of groups promoting the criminal subculture (the example of the Irkutsk city). Nauchnoe obozrenie. Seriya 2. Gumanitarnye nauki [Scientific Review. Series 2. Human Sciences]. 2020. No. 3-4. Ð. 52-58. DOI: 10.26653/2076-4685-2020-3-4-05 (in Russ.). DOI: 10.26653/2076-4685-2020-3-4-05.ÀííîòàöèÿÐàññìîòðåíà ñòðóêòóðà ñîöèàëüíîãî ãðàôà ïîëüçîâàòåëåé ñîöèàëüíîé ñåòè «Â Êîíòàêòå» — ÷ëåíîâ ãðóïï, ïðîïàãàíäèðóþùèõ êðèìèíàëüíóþ ìîëîäåæíóþ ñóáêóëüòóðó ÀÓÅ (çàïðåùåíà â Ðîññèè êàê ýêñòðåìèñòñêàÿ îðãàíèçàöèÿ). Ïîêàçàíî, ÷òî î äàííîì ÿâëåíèè íåâîçìîæíî ñóäèòü êàê î ìàñøòàáíîé è ðàçâåòâëåííîé ïðåñòóïíîé îðãàíèçàöèè, ïîñêîëüêó îêîëî 90% ïîäïèñ÷èêîâ ãðóïï ÀÓÅ íå ñâÿçàíû äðóã ñ äðóãîì. Âûÿâëåíî, ÷òî íåèçîëèðîâàííûå ÷ëåíû äàííûõ ãðóïï (ò. å. îñòàâøèåñÿ ïðèìåðíî 10% ïîäïèñ÷èêîâ) íå ñîñòàâëÿþò åäèíîãî ñâÿçíîãî ïîäãðàôà, à âõîäÿò â îäèí èç 24 îòäåëüíûõ ñâÿçíûõ ïîäãðàôîâ. Íàèáîëüøèé ñâÿçíûé ïîäãðàô ñîñòîèò èç 59 âåðøèí. Èññëåäîâàíèÿ âûïîëíåíû äëÿ ã. Èðêóòñê êàê îäíîãî èç òåõ ìåñò, ãäå äàííàÿ ñóáêóëüòóðà çàðîäèëàñü.  ñâîåé èíæåíåðíîé ÷àñòè èññëåäîâàíèå îñíîâàíî íà ðàáîòå ñ ïðîãðàììíûì èíòåðôåéñîì (API) âûøåóêàçàííîé ñîöèàëüíîé ñåòè è íàáîðîì áèáëèîòåê äëÿ âûñîêîóðîâíåâîãî ÿçûêà ïðîãðàììèðîâàíèÿ Python 3.7.Êëþ÷åâûå ñëîâà: ñîöèàëüíàÿ ñåòü àíàëèç ñîöèàëüíûõ ñåòåé ñîöèàëüíûé ãðàô êðèìèíàëüíàÿ ñóáêóëüòóðà ìîëîäåæíàÿ ïðåñòóïíîñòü social network social network analysis social graph criminal subculture youth crime Ðóáðèêè: Ñîöèîëîãèÿ äåâèàíòíîãî ïîâåäåíèÿÌåòîäû ñáîðà è àíàëèçà ñîöèîëîãè÷åñêèõ äàííûõ