Filters








966 Hits in 7.1 sec

Analyzing Temporal Relationships between Trending Terms on Twitter and Urban Dictionary Activity [article]

Steven R. Wilson, Walid Magdy, Barbara McGillivray, Gareth Tyson
2020 arXiv   pre-print
Finally, We explore the relationship between periods of time when terms are trending on Twitter and the corresponding activity on Urban Dictionary, revealing that new definitions are more likely to be  ...  In this research, we study the temporal activity trends on Urban Dictionary and provide the first analysis of how this activity relates to content being discussed on a major social network: Twitter.  ...  ACKNOWLEDGMENTS This work was supported by The Alan Turing Institute under the EP-SRC grants EP/N510129/1, and EP/S033564/1. We also acknowledge support via EP/T001569/1.  ... 
arXiv:2005.07655v2 fatcat:cicpn5sjkndfdgvl4xnf3xxqwu

Analyzing Temporal Relationships between Trending Terms on Twitter and Urban Dictionary Activity

Steven R. Wilson, Walid Magdy, Barbara McGillivray, Gareth Tyson
2020 12th ACM Conference on Web Science  
Finally, We explore the relationship between periods of time when terms are trending on Twitter and the corresponding activity on Urban Dictionary, revealing that new definitions are more likely to be  ...  In this research, we study the temporal activity trends on Urban Dictionary and provide the first analysis of how this activity relates to content being discussed on a major social network: Twitter.  ...  ACKNOWLEDGMENTS This work was supported by The Alan Turing Institute under the EP-SRC grants EP/N510129/1, and EP/S033564/1. We also acknowledge support via EP/T001569/1.  ... 
doi:10.1145/3394231.3397905 dblp:conf/websci/0001MMT20 fatcat:7qgi2bnfqjdmbbozue3swhy74m

Crowdsourced Data Mining for Urban Activity: Review of Data Sources, Applications, and Methods

Haifeng Niu, Elisabete A. Silva
2020 Journal of urban planning and development  
urban activity is still lacking.  ...  Urban activity analysis Urban City Space Spatial Planning Neighborhood Mobility Spatiotemporal © ASCE 04020007-2 J. Urban Plann. Dev. J. Urban Plann.  ...  De , Granell and Ostermann (2016) , and Kim and Hastak Hollenstein and Purves (2010) and Feick and Robertson (2015) Acknowledgment This research is funded by a scholarship from the China Scholarship  ... 
doi:10.1061/(asce)up.1943-5444.0000566 fatcat:vec2lz2olbfbjoem2lfnulzswi

Applying GIS and Text Mining Methods to Twitter Data to Explore the Spatiotemporal Patterns of Topics of Interest in Kuwait

Muhammad G. Almatar, Huda S. Alazmi, Liuqing Li, Edward A. Fox
2020 ISPRS International Journal of Geo-Information  
Researchers have developed various approaches for exploring the spatial information, temporal patterns, and Twitter content in topics of interest in order to generate a better understanding of human behavior  ...  To this end, we collect, process, and analyze tweets from nearly 120 areas in Kuwait over a 10-month period.  ...  number of tweets collected within each urban area (b) Relationship between the number of tweets and population size within each urban area Figure 3 . 3 The distribution of data collected in the study  ... 
doi:10.3390/ijgi9120702 fatcat:yc4ojdmbzvdizhi7t3qmds4mva

Diversity in Urban Social Media Analytics [chapter]

Jie Yang, Claudia Hauff, Geert-Jan Houben, Christiaan Titos Bolivar
2016 Lecture Notes in Computer Science  
Social media has emerged as one of the data backbones of urban analytics systems.  ...  Thanks to geo-located microposts (text-, image-, and video-based) created and shared through portals such as Twitter and Instagram, scientists and practitioners can capitalise on the availability of real-time  ...  This work was carried out on the Dutch national einfrastructure with the support of SURF Cooperative.  ... 
doi:10.1007/978-3-319-38791-8_19 fatcat:5nzzuruev5hldkybd764zuhiga

Real-time Road Traffic Information Detection Through Social Media [article]

Chandra Khatri
2018 arXiv   pre-print
With all the findings in current study, it is shown that significant amount of traffic related information can be extracted from Twitter and other sources on internet.  ...  Furthermore, Twitter and these data sources are freely available and are not bound by spatial and temporal limitations. That is, wherever there is a user there is a potential for data.  ...  Michael Hunter for helping me in changing my home unit to Transportation Systems Engineering and also for providing an opportunity to pursue research in the domain which I am passionate about.  ... 
arXiv:1801.05088v1 fatcat:lsyxe3buznhqbhw6unrhkqnnpe

#London2012: Towards Citizen-Contributed Urban Planning Through Sentiment Analysis of Twitter Data

Anna Kovacs-Gyori, Alina Ristea, Clemens Havas, Bernd Resch, Pablo Cabrera-Barona
2018 Urban Planning  
Our results based on various analyses of tweets demonstrate that different spatial and temporal patterns can be identified, clearly distinguishing both residents and visitors, along with positive or negative  ...  Thus, this article proposes a combined approach for analyzing large sports events considering event days vs comparison days (before or after the event) and different user groups (residents vs visitors)  ...  We would also like to express our gratitude to the FWF for supporting the project "Urban Emotions", reference number I-3022.  ... 
doi:10.17645/up.v3i1.1287 fatcat:f4mojqdogzhjriqlcb2g4o3qki

A spatiotemporal analysis of participatory sensing data "tweets" and extreme climate events toward real-time urban risk management [article]

Yoshiki Yamagata, Daisuke Murakami, Gareth W. Peters, Tomoko Matsui
2015 arXiv   pre-print
Then, we study relationships between monitored temperatures and hot-tweets via a statistical model framework based on copula modelling methods.  ...  We demonstrate that there are strong relationships between "hot-tweets" and temperatures recorded at an intra-urban scale.  ...  Section 2 discusses how to exploit information pertaining to hotness from the twitter data. Section 3 analyzes relationship between tweets and temperatures.  ... 
arXiv:1505.06188v2 fatcat:whjenslwbrfhbimalphwsurwp4

A Spatiotemporal Analysis of Participatory Sensing Data 'Tweets' and Extreme Climate Events Toward Real-Time Urban Risk Management

Yoshiki Yamagata, Gareth William Peters, Tomoko Matsui
2015 Social Science Research Network  
Then, we study relationships between monitored temperatures and hot-tweets via a statistical model framework based on copula modelling methods.  ...  We demonstrate that there are strong relationships between "hot-tweets" and temperatures recorded at an intra-urban scale, that we reveal in our analysis of Tokyo city and its suburbs.  ...  Section 2 discusses how to exploit information pertaining to hotness from the twitter data. Section 3 analyzes relationship between tweets and temperatures.  ... 
doi:10.2139/ssrn.2980468 fatcat:rdnmsbbnajb2vmam6owk4okqmm

Analyzing lexical emergence in Modern American English online

JACK GRIEVE, ANDREA NINI, DIANSHENG GUO
2016 English Language and Linguistics  
social media using this method, based on a multi-billion-word corpus of Tweets collected between October 2013 and November 2014.  ...  In total 29 emerging word forms, which represent various semantic classes, grammatical parts-of-speech and word formation processes, were identified through this analysis.  ...  In order to test this assumption, each of the form was searched for on Google Trends (www. google.com/trends), which allows for search term frequency on Google to be tracked over time, and Urban Dictionary  ... 
doi:10.1017/s1360674316000113 fatcat:u7gkemsxvzesjim7rw3wqgk7lm

A systematic spatial and temporal sentiment analysis on Geo-tweets

Tao Hu, Bing She, Lian Duan, Han Yue, Julaine Clunis
2019 IEEE Access  
Then, the overall temporal variations of total number of positive, neural, and negative sentiments are analyzed on a monthly, daily and hourly level.  ...  INDEX TERMS Geo-tweet, sentiment, spatial analysis, temporal analysis, health.  ...  ACKNOWLEDGMENT (Tao Hu and Bing She contributed equally to this work.)  ... 
doi:10.1109/access.2019.2961100 fatcat:kovqdjascrdpbarvwvhcreor6e

Using Social Media for Emergency Response and Urban Sustainability: A Case Study of the 2012 Beijing Rainstorm

Yandong Wang, Teng Wang, Xinyue Ye, Jianqi Zhu, Jay Lee
2015 Sustainability  
In addition, this paper presents the tools, methods, and models developed in this study that can be used to work with text streams from social media in the context of disaster management and urban sustainability  ...  We present a classification and location model for social media text streams during emergency events. This model classifies social media text streams based on their topical contents.  ...  Author Contributions: Yandong Wang designed research and wrote the paper, Teng Wang performed research, analyzed the data and wrote the paper, Xinyue Ye co-designed research and extensively updated the  ... 
doi:10.3390/su8010025 fatcat:yhc7xzbax5e2nocwoneju2bepe

Using Twitter to Understand Public Interest in Climate Change: The case of Qatar [article]

Sofiane Abbar, Tahar Zanouda, Laure Berti-Equille, Javier Borge-Holthoefer
2016 arXiv   pre-print
To address this concern, we collect and analyze a large dataset of 109 million tweets posted by 98K distinct users living in Qatar -- one of the largest emitters of CO2 worldwide.  ...  In the present study, we examine and analyze Climate Change conversations in Qatar's Twittersphere, and sense public awareness towards this global and shared problem in general, and its various related  ...  To further analyze the content, we focused on the relationships between hashtags within topics and we built the cooccurrence networks of hashtags for the tweets of each topic.  ... 
arXiv:1603.04010v1 fatcat:t6cxtpmnozgqtogztubfvvra7e

A year in Madrid as described through the analysis of geotagged Twitter data

Travis R Meyer, Daniel Balagué, Miguel Camacho-Collados, Hao Li, Katie Khuu, P Jeffrey Brantingham, Andrea L Bertozzi
2018 Environment and Planning B Urban Analytics and City Science  
One such source of data is Twitter which generates millions of short spatio-temporally localized messages that, as a collection, have information on city regions and many forms of city activity.  ...  We present a two-step process for analyzing geotagged twitter data within a localized urban environment.  ...  Her research focuses on nonlinear partial differential equations with applications to image processing, crime modeling, and swarming/cooperative dynamics.  ... 
doi:10.1177/2399808318764123 fatcat:5ngtuodj4raerewnrk7qik2tdy

When the Filter Bubble Bursts: Collective Evaluation Dynamics in Online Communities [article]

Adiya Abisheva, David Garcia, Frank Schweitzer
2016 arXiv   pre-print
We analyze online collective evaluation processes through positive and negative votes in various social media.  ...  We analyze how collectively evaluated content can reach large social contexts and create polarization, showing that emotions expressed through text play a key role in collective evaluation processes.  ...  Our daily crawl 5 collected 200,000 images and their user activity statistics between December 2015 and January 2016.Finally, Urban Dictionary (http://www.urbandictionary.com/) is an online crowdsourced  ... 
arXiv:1602.05642v1 fatcat:hjzfkk3jqjbahd5qm7sbjjorty
« Previous Showing results 1 — 15 out of 966 results