Urban acupuncture 2.0

Petrova, Marina V.; Nenko, Aleksandra; Sukharev, Kirill

doi:10.1145/3014087.3014124

Cited by 3 publications

References 8 publications

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Social Media-based Research of Interpersonal and Group Communication in Russia

Koltsova

Porshnev

Sinyavskaya

2020

The Palgrave Handbook of Digital Russia Studies

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Rapidly proliferating social media not only serve as a new channel of human communication but also open up research opportunities to ask a wider set of questions about political, sociological and psychological factors that influence interpersonal and group online communication, development and maintenance of personal networks and the growth or decline of social capital. In this chapter we discuss the research opportunities provided by new survey, observational and experimental data that may be obtained from a social networking site. For doing so, we refer to Russian-language social networking sites (SNS) or SNS segments, notably VKontakte as the most popular SNS in Russia. We demonstrate how the aforementioned types of data may or have already been used to address research tasks from a number of disciplines.

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Social Media-based Research of Interpersonal and Group Communication in Russia

Koltsova

Porshnev

Sinyavskaya

2020

The Palgrave Handbook of Digital Russia Studies

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A Value-Oriented Approach in Smart City Projects Selection and Ranking

Mityagin

Drojjin

Tikhonova

2017

Communications in Computer and Information Science

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A Case Study on Spatio-Temporal Data Mining of Urban Social Management Events Based on Ontology Semantic Analysis

et al. 2018

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Abstract:The massive urban social management data with geographical coordinates from the inspectors, volunteers, and citizens of the city are a new source of spatio-temporal data, which can be used for the data mining of city management and the evolution of hot events to improve urban comprehensive governance. This paper proposes spatio-temporal data mining of urban social management events (USMEs) based on ontology semantic approach. First, an ontology model for USMEs is presented to accurately extract effective social management events from non-structured UMSEs. Second, an explorer spatial data analysis method based on "event-event" and "event-place" from spatial and time aspects is presented to mine the information from UMSEs for the urban social comprehensive governance. The data mining results are visualized as a thermal chart and a scatter diagram for the optimization of the management resources configuration, which can improve the efficiency of municipal service management and municipal departments for decision-making. Finally, the USMEs of Qingdao City in August 2016 are taken as a case study with the proposed approach. The proposed method can effectively mine the management of social hot events and their spatial distribution patterns, which can guide city governance and enhance the city's comprehensive management level.

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Urban acupuncture 2.0

Cited by 3 publications

References 8 publications

Social Media-based Research of Interpersonal and Group Communication in Russia

Social Media-based Research of Interpersonal and Group Communication in Russia

A Value-Oriented Approach in Smart City Projects Selection and Ranking

A Case Study on Spatio-Temporal Data Mining of Urban Social Management Events Based on Ontology Semantic Analysis

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