scholarly journals The image of the City on social media: A comparative study using “Big Data” and “Small Data” methods in the Tri-City Region in Poland

2021 ◽  
Vol 206 ◽  
pp. 103977 ◽  
Author(s):  
Jianxiang Huang ◽  
Hanna Obracht-Prondzynska ◽  
Dorota Kamrowska-Zaluska ◽  
Yiming Sun ◽  
Lishuai Li
Keyword(s):  
Social Media ◽  
Big Data ◽  
Comparative Study ◽  
Small Data ◽  
City Region ◽  
The City

scholarly journals The Application of Big Data Technology in Smart City

2021 ◽  
Vol 251 ◽  
pp. 01053
Author(s):  
Fang Liu ◽  
Jianyuan Gao
Keyword(s):  
Social Media ◽  
Big Data ◽  
Internet Of Things ◽  
Urban Development ◽  
Smart City ◽  
Mobile Internet ◽  
Application Fields ◽  
The City ◽  
Big Data Technology

With the wide application of mobile Internet, Internet of Things and social media, the era of big data has come. “Smart city” is the trend of urban development and the integration of urbanization and informatization. Although it is still in the pilot stage, it has broad prospects. This paper discusses the application fields and implementation methods of big data technology in “Smart city”, and puts forward suggestions for the construction of smart city, which is helpful to improve the wisdom level of the city.

scholarly journals Big Data-aware News Recommendation System According to Regional Twitter Users’ Interests

2021 ◽  
Author(s):  
Maryam Bagheri ◽  
Shahram Jamali ◽  
Reza Fotohi
Keyword(s):  
Big Data ◽  
Recommendation System ◽  
Research Area ◽  
Small Data ◽  
City Region ◽  
Home Pages ◽  
News Websites ◽  
Twitter Users ◽  
News Recommendation ◽  
Spark Framework

Abstract Nowadays with the development of technology and access to the Internet everywhere for everyone, the interest to get the news from newspapers and other traditional media is decreasing. Therefore, the popularity of news websites is ascending as the newspapers are changing into electronic versions. News websites can be accessed from anywhere, i.e., any country, city, region, etc. So, the need to present the news depends on where the reader is from can be a research area, as with facing with variety of news topics on websites readers prefer to choose those which more often show the news, they are interested in on their home pages. Based on this idea we represent the technique to find favorite topics of Twitter users of certain geographical districts to provide news websites a way of increasing popularity. In this work we processed tweets. It seems that tweets are some small data, but we found out that processing this small data needs a lot of time, due to the repetition of the algorithm a lot and many searches to be done. Therefore, we categorized our work as big data. To help this problem we developed our work in the Spark framework. Our technique includes 2 phases; Feature Extraction Phase and Topic Discovery Phase. Our analysis shows that with this technique we can get the accuracy between 68% and 76%, in 3 developments 3-fold, 5-fold, and 10-fold.

scholarly journals Empathy Rituals: Small Conversations about Emotional Distress on Twitter

Sociology ◽  
2018 ◽  
Vol 53 (1) ◽  
pp. 104-122 ◽  
Author(s):  
Julie Brownlie ◽  
Frances Shaw
Keyword(s):  
Social Media ◽  
Big Data ◽  
Social Science ◽  
Emotional Distress ◽  
Computational Social Science ◽  
Research Interest ◽  
Small Data ◽  
Emotional Dimension

There is growing research interest in the sharing of emotions through social media. Usually centred on ‘newsworthy’ events and collective ‘flows’ of emotion, this work is often computationally driven. This article presents an interaction-led analysis of small data from Twitter to illustrate how this kind of intensive focus can ‘thicken’ claims about emotions, and particularly empathy. Drawing on Goffman’s work on ritual, we introduce and then apply the idea of ‘empathy rituals’ to exchanges about emotional distress on Twitter, a platform primarily researched using big data approaches. While the potential of Goffman’s work has been explored in some depth in relation to digital performances, its emotional dimension has been less fully examined. Through a focus on Twitter conversations, we show how reading small data can inform computational social science claims about emotions and add to sociological understanding of emotion in (digital) publics.

Action: Can We Stop Terminal Consumption?

2020 ◽  
pp. 95-122
Author(s):  
Peter J. Taylor ◽  
Geoff O’Brien ◽  
Phil O’Keefe
Keyword(s):  
Climate Change ◽  
Social Media ◽  
Big Data ◽  
Urban Growth ◽  
Anthropogenic Climate Change ◽  
Future Generations ◽  
Climate Change Policies ◽  
The City ◽  
Global Advertising

This chapter asks the question, what does this unthinking mean for current anthropogenic climate change policies? This is answered in two ways. First, the concept of urban demand is discussed in its current manifestation as the product of a global Advertising-Big Data-Social Media complex. Second, the mechanisms behind the immensity of Chinese urban growth in recent decades are described. In their different, but intertwined, ways these two expressions of today’s modernity are pointing irrevocably towards terminal consumption. The only means to stop this happening appears to a reinvention of the city, creating an urban demand for stewarding nature for future generations, a posterity city

scholarly journals Exploring Patterns of Socio-spatial Interaction in the Public Spaces of City through Big Data.

2017 ◽  
Author(s):  
Aminreza Iranmanesh ◽  
Resmiye Alpar Atun
Keyword(s):  
Social Media ◽  
Big Data ◽  
Spatial Interaction ◽  
Public Spaces ◽  
Global Scale ◽  
Urban Life ◽  
The Public ◽  
Spatial Aspect ◽  
The City ◽  
The Way

Research on socio-spatial aspect of cities has never been so vibrant and exciting. The form of urban life is changing and evolving with new advancements in communication and technology.  Digital communication and social media has reshaped the way people as the actors of society interact with each other and with the network of city. New social networks and widespread of mobile devises can be used to create and reinforce existing social ties. Mobile devises also change the role of citizens from consumers into producers of data; they are the new reporters, photographers, videographers of everyday life. This production creates large quantities of data known as the “Big Data”. Big data has opened up many doors for researchers to investigate new aspects of cities.  This paper aims to explore how people access urban public spaces through social media by taking the parameter of distance and physical proximity into account. We tried to investigate if different levels of accessibility effects the way people interact with space through social media. Through this process the study explored different socio-spatial patterns in the city that are being affected by social media.  The research data was collect in two layers of Nicosia in Northern Cyprus: first, the geo-tagged social media data was collected from the target group, and it was located on the map. Twitter as a microblogging medium was selected for data collection due to its public nature, geo-tagged abilities, and manageable short content. Second, degrees of accessibility in local and global scale were calculated using Space Syntax. The data was analyzed using regression analysis, scatter plot, and outlier detention. The result shows various patterns in correlation of interactions between society and space; it illustrates the importance of exploring the outliers when reading big data on the city. The result shows clear importance of local accessibility even when social media is the effective variable.

Back to the City Region? The Future of Strategic Transport Planning in Scotland

2003 ◽  
Vol 45 (First Serie (1) ◽  
pp. 128-156 ◽  
Author(s):  
Iain Docherty ◽  
David Begg
Keyword(s):  
City Region ◽  
Transport Planning ◽  
The Future ◽  
The City

City-region governance in transitional contexts: the case of the BRICS

2019 ◽  
Vol 63 (1) ◽  
pp. 39-49
Author(s):  
Philip Harrison
Keyword(s):  
Extended Period ◽  
Political Systems ◽  
Recent Past ◽  
City Region ◽  
Scholarly Literature ◽  
Path Dependencies ◽  
City Regions ◽  
The World ◽  
The City

Abstract The bulk of the scholarly literature on city-regions and their governance is drawn from contexts where economic and political systems have been stable over an extended period. However, many parts of the world, including all countries in the BRICS, have experienced far-reaching national transformations in the recent past in economic and/or political systems. The national transitions are complex, with a mix of continuity and rupture, while their translation into the scale of the city-region is often indirect. But, these transitions have been significant for the city-region, providing a period of opportunity and institutional fluidity. Studies of the BRICS show that outcomes of transitions are varied but that there are junctures of productive comparison including the ways in which the nature of the transitions create new path dependencies, and way in which interests across territorial scales soon consolidate, producing new rigidities in city-region governance.

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