Exploring the Regional Structure of Online Networks Using Text and Network Analytics

Dannoye issledovaniye napravleno na analiz regional'nykh osobennostey onlayn-setey s ispol'zovaniyem metodov tekstovogo i setevogo analiza na primere Sibirskogo federal'nogo okruga (SFO). V ramkakh raboty byl sobran i strukturirovan obshirnyy massiv dannykh, vklyuchayushchiy spisok regional'nykh klyuchevykh slov-toponimov, datasety regional'nykh soobshchestv, ikh pol'zovateley i dataset svyazey pol'zovatel'-soobshchestvo na dannykh sotsial'noy seti VKontakte. Osnovnoy aktsent byl sdelan na sbor, verifikatsiyu i validatsiyu dannykh. Dlya dostizheniya postavlennykh tseley byli ispol'zovany metody tekstovogo analiza dlya vyyavleniya i fil'tratsii regional'nykh grupp. Metody setevogo analiza byli primeneny dlya izucheniya struktury i vzaimodeystviya soobshchestv v onlayn-seti. V rezul'tate issledovaniya bylo sobrano bol'shoye kolichestvo dannykh, postroyeny grafy po 10 regionam SFO, izuchena struktura onlayn seti i razrabotana klassifikatsiya regional'nykh onlayn soobshchestv. Ещё 923 / 5 000 This study is aimed at analyzing regional features of online networks using text and network analysis methods using the example of the Siberian Federal District (SFO). As part of the work, an extensive array of data was collected and structured, including a list of regional keywords-toponyms, datasets of regional communities, their users, and a dataset of user-community connections based on data from the social network VKontakte. The main emphasis was placed on data collection, verification and validation. To achieve these goals, text analysis methods were used to identify and filter regional groups. Network analysis methods have been applied to study the structure and interaction of communities in an online network. As a result of the study, a large amount of data was collected, graphs were constructed for 10 regions of the Siberian Federal District, the structure of the online network was studied, and a classification of regional online communities was developed.