TWEET DATA EXTRACTOR FOR CREATING A TWITTER TRAFFIC MAP MASHUP

2015 ◽  
Vol 75 (10) ◽  
Author(s):  
Amirul Afif Jasmi ◽  
Mohamad Hafis Izran Ishak ◽  
Nurul Hawani Idris
Keyword(s):  
Social Media ◽  
Big Data ◽  
Traffic Control ◽  
Transportation Planning ◽  
General Public ◽  
New Technologies ◽  
The Road ◽  
Current Information ◽  
Road Users ◽  
Use Of Social Media

Over recent years, there has been a growth of interest in the use of social media including Facebook and Twitter by the authorities to share and updates current information to the general public. The technology has been used for a variety of purposes including traffic control and transportation planning. There is a concern that the use of new technologies, including social media will lead to data abundance that requires effective operational resources to interpret the big data. This paper proposes a tweet data extractor to extract the traffic tweet by the authority and visualise the reports and mash up on top of online map, namely Twitter map. Visualisation of traffic tweet on a map could assist a user to effectively interpret the text based Twitter report by a location based map viewer. Hence, it could ease the process of planning itinerary by the road users. 

The Use of Social Media for Urban Planning

2019 ◽  
pp. 1049-1070
Author(s):  
Fabian Neuhaus
Keyword(s):  
Social Media ◽  
Big Data ◽  
Urban Areas ◽  
Large Scale ◽  
Urban Environments ◽  
Data Systems ◽  
User Management ◽  
Social Nature ◽  
User Data ◽  
Use Of Social Media

User data created in the digital context has increasingly been of interest to analysis and spatial analysis in particular. Large scale computer user management systems such as digital ticketing and social networking are creating vast amount of data. Such data systems can contain information generated by potentially millions of individuals. This kind of data has been termed big data. The analysis of big data can in its spatial but also in a temporal and social nature be of much interest for analysis in the context of cities and urban areas. This chapter discusses this potential along with a selection of sample work and an in-depth case study. Hereby the focus is mainly on the use and employment of insight gained from social media data, especially the Twitter platform, in regards to cities and urban environments. The first part of the chapter discusses a range of examples that make use of big data and the mapping of digital social network data. The second part discusses the way the data is collected and processed. An important section is dedicated to the aspects of ethical considerations. A summary and an outlook are discussed at the end.

The use of social media by higher education institutions

2020 ◽  
Vol 65 (2) ◽  
pp. 30-42
Author(s):  
Jacek Maślankowski ◽  
Łukasz Brzezicki
Keyword(s):  
Higher Education ◽  
Social Media ◽  
Big Data ◽  
Competitive Advantage ◽  
Full Advantage ◽  
Higher Education Institutions ◽  
Marketing Activities ◽  
Use Of Social Media ◽  
Marketing Methods

Higher education institutions have been using, to an increasing extent, various marketing methods and tools, which are becoming a decisive factor in building their competitive advantage and achieving success. In order to initiate and maintain long-term relationships with their communities and to conduct other marketing activities, higher education institutions have been increasingly often using social media, which has enabled them to actively create their image. The aim of this study is to utilize big data methods and tools to measure the scale of the use of social media by the higher education sector. The research carried out in the first quarter of 2019 demonstrates that large higher education institutions, i.e. those with over 1696 students (according to the adopted classification), use social media to communicate current news to a larger extent than the smaller ones. A significantly smaller percentage of mediumsized higher education institutions (223-1695 students) and small ones (up to 222 students) have accounts in social media, thus failing to take full advantage of the potential of these media. Higher education institutions use social media mainly to promote events they organise.

scholarly journals Sentimen Analisis Terhadap Komentar Konsumen Terhadap Produk Penjualan Toko Online Menggunakan Metode K-Means

2020 ◽  
Vol 19 (2) ◽  
pp. 207-213
Author(s):  
Andris Faesal ◽  
Aziz Muslim ◽  
Aditya Hastami Ruger ◽  
Kusrini Kusrini
Keyword(s):  
Social Media ◽  
Big Data ◽  
Programming Language ◽  
Raw Data ◽  
R Programming Language ◽  
R Programming ◽  
Use Of Social Media ◽  
Media Sentiment ◽  
Existing Data

In this big data era, the use of social media often makes posts in his social media accounts in the form of opinions on events and things around him. One of them is making a post that gives an opinion on the events and items around it. One of them is making a post that gives an opinion on an item that has just been purchased, so that the effect is on other users who are connected to it. The more people who know it, then indirectly people will get to know the item. For that from the description of the problem above, this study raises an idea to make an analysis of social media sentiment which aims to provide a decision of consumer opinion on social media on sales products. As for the several stages of the method for the research, namely from the collection of data carried out by collecting existing data in tweets from social media Twitter using the R programming language. The data produces raw or raw data associated with sales items. With the K-means method as inputting, after each group is known from the K-Means output

scholarly journals TWEETS AND FACEBOOK POSTS, THE NOVELTY TECHNIQUES IN THE CREATION OF ORIGIN-DESTINATION MODELS

2016 ◽  
Vol XLI-B2 ◽  
pp. 555-562
Author(s):  
H. K. Malema ◽  
W. Musakwa
Keyword(s):  
South Africa ◽  
Social Media ◽  
Big Data ◽  
Spatial Data ◽  
Transportation Planning ◽  
High Speed ◽  
Spatial Data Analysis ◽  
Gauteng Province ◽  
Distribution Studies ◽  
Network Patterns

Social media and big data have emerged to be a useful source of information that can be used for planning purposes, particularly transportation planning and trip-distribution studies. Cities in developing countries such as South Africa often struggle with out-dated, unreliable and cumbersome techniques such as traffic counts and household surveys to conduct origin and destination studies. The emergence of ubiquitous crowd sourced data, big data, social media and geolocation based services has shown huge potential in providing useful information for origin and destination studies. Perhaps such information can be utilised to determine the origin and destination of commuters using the Gautrain, a high-speed railway in Gauteng province South Africa. To date little is known about the origins and destinations of Gautrain commuters. Accordingly, this study assesses the viability of using geolocation-based services namely Facebook and Twitter in mapping out the network movements of Gautrain commuters. Explorative Spatial Data Analysis (ESDA), Echo-social and ArcGis software were used to extract social media data, i.e. tweets and Facebook posts as well as to visualize the concentration of Gautrain commuters. The results demonstrate that big data and geolocation based services have the significant potential to predict movement network patterns of commuters and this information can thus, be used to inform and improve transportation planning. Nevertheless use of crowd sourced data and big data has privacy concerns that still need to be addressed.

scholarly journals Assessment of Colorimetric Parameters for HPS Lamp with Electromagnetic Control Gear and Electronic Ballast

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2909
Author(s):  
Roman Sikora ◽  
Przemysław Markiewicz
Keyword(s):  
New Technologies ◽  
Technical Condition ◽  
Road Accident ◽  
Electronic Ballast ◽  
The Road ◽  
Advantages And Disadvantages ◽  
Road Lighting ◽  
Road Users ◽  
Electromagnetic Control ◽  
On The Road

Road lighting is an important element of road infrastructure influencing on the road safety. It helps road users to identify potential hazards on the road and reduces the risk of a road accident. Improving the energy efficacy of road lighting installations requires using new technologies. Currently, high-pressure sodium (HPS) lamps are still most commonly used in road lighting. Many of the luminaires with HPS lamps are still in good technical condition and there is no economic justification for replacing them (except improving energy efficacy). One of the methods of improving their energy efficacy is to replace the electromagnetic control gear (ECG) with an electronic ballast (EB). This replacement may affect the colorimetric parameters of the HPS lamps. Two methods to the estimation change of colorimetric parameters after the replacement of ECG to EB were used. The first is CIE TN 001:2014 and the second is ANSI/IES TM-30-15. The article also presents the advantages and disadvantages of these methods in relation to the evaluation of changes in colorimetric parameters of HPS lamps after the replacement of the ECG with an EB. After the replacement of ECG to EB, the smallest reduction of Ra (colour rendering index) occurred for the 150 W lamp by 31.30% and the highest reduction for the 70 W lamp by 65.52%. Considering the changes of the fidelity indicator Rf and gamut indicator Rg, their changes are significantly smaller than for Ra. The smallest change of Rf value was observed for a 150 W lamp (6.00%) and the largest for a 70 W lamp by 25.00%. In case of Rg, similar changes were observed—for 150 W lamp by 9.26% and for 70 W lamp by 21.88%. The ANSI/IES TM-30-15 method is more suitable for evaluating colorimetric parameters after replacing ECG with EB. Using only Ra to evaluate changes of HPS lamps colorimetric parameters after replacing the ballast type can lead to incorrect conclusions concerning changes of colorimetric parameters. Based on the ANSI/IES TM-30-15 method, it has been proposed to introduce the Δf,g indicator which determines the change of colorimetric parameters based on fidelity and gamut colour indicator.

scholarly journals Indigenous Movements, Collective Action, and Social Media: New Opportunities or New Threats?

2020 ◽  
Vol 6 (2) ◽  
pp. 205630512092648 ◽  
Author(s):  
Pascal Lupien
Keyword(s):  
Social Media ◽  
Collective Action ◽  
Information And Communication Technologies ◽  
Latin American ◽  
Collective Identity ◽  
New Technologies ◽  
Indigenous Communities ◽  
Indigenous Movements ◽  
Indigenous Organizations ◽  
Use Of Social Media

Indigenous peoples remain among the most marginalized population groups in the Americas. The decline of the Indigenous protest cycle in Latin America by the mid-2000s meant that research on collective action turned elsewhere just as the use of social media was becoming more prominent in the tactical repertoire of collective action, and we know little about how Indigenous groups have adapted new technologies for the purpose of civic engagement. If social media has begun to take the place of disruptive action (the most effective tactics in the 1990s according to Indigenous leaders), if personalized action is replacing collective identity (a strength of the Indigenous movements in the 1980s–1990s) and if their access to technology is limited, what does this mean for the ability of Indigenous communities to pursue their claims? Based on 2 years of fieldwork, this article addresses this question from the perspective of Indigenous organizations in three Latin American countries, Bolivia, Chile, and Ecuador. We find that some Indigenous organizations have benefited from the use of information and communication technologies (ICTs) in terms of enhanced communication, access to information, visibility, interest promotion, and commercialization of products and services. At this point in time, however, it appears that the disadvantages outweigh the benefits.

scholarly journals Mengajak Generasi Z SMA 1 Muhammadiyah Malang Berinternet Secara Bijak

2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Hamdan Nafiatur Rosyida ◽  
Demeiati Nur Kusumaningrum ◽  
Palupi Anggraheni
Keyword(s):  
Social Media ◽  
Big Data ◽  
Cyber Security ◽  
Digital Literacy ◽  
Service Providers ◽  
Social Phenomena ◽  
Internet Service ◽  
Negative Impacts ◽  
Use Of Social Media ◽  
The Impact

ABSTRAKHasil survei oleh Asosiasi Penyelenggara Jasa Internet Indonesia (APJII) pada tahun 2016 menunjukkan bahwa 51,8 persen dari 256,2 juta penduduk Indonesia merupakan pengguna internet dan 47,6 persennya menggunakan internet melalui gawai pribadi. Meskipun demikian, fenomena sosial mencatat tidak semua individu dapat menggunakan media sosial secara bijak. Hal itulah yang menjadi semangat kemitraan tim UMM dengan SMA 1 Muhammadiyah Malang dalam program pelatihan literasi digital. Pemahaman siswa tentang literasi digital dalam penggunaan media sosial masih minim. Siswa menguasai penggunaan media sosial popular seperi Instagram, Twitter maupun Facebook namun dampak media sosial seperti munculnya hoax, fenomena ‘firehose falsehood’ maupun efek domino lainnya belum terlalu mendapat perhatian. Program literasi digital dilaksanakan melalui 2 (dua) format. Pertama, Seminar dan Talkshow Literasi Digital yang terdiri dari topik perkembangan terkini media social, pengenalan tentang logika big data yang menentukan tajuk komposisi berita, dan pengenalan keamanan digital (cyber security). Kedua, sosialisasi berinternet secara bijak menggunakan instrumen buku saku (booklet) yang bertujuan memberikan pemahaman bagi siswa mengenai bagaimana penggunaan sosial media dan dampak positif negatif dalam berbagai perspektif studi kasus.Kata Kunci: internet; literasi; millenial; pelatihan; remaja Invites Generation Z of Muhammadiyah Malang 1 High School to Internet WiselyABSTRACTThe results of a survey by the Indonesian Internet Service Providers Association (APJII) in 2016 showed that 51.8 percent of 256.2 million Indonesians were internet users and 47.6 percent used the internet through private devices. However, social phenomena noted that not all individuals can use social media wisely. That was the spirit of the partnership between UMM and SMA 1 Muhammadiyah Malang in the digital literacy training program. Students' understanding of digital literacy in the use of social media is still minimal. Students master the use of popular social media like Instagram, Twitter and Facebook but the impact of social media such as the emergence of hoaxes, the phenomenon of 'firehose falsehood' and other domino effects have not received much attention. Digital literacy program is carried out in 2 (two) formats. First, the Seminar and Digital Literacy Talkshow which consists of the latest developments in social media, the introduction of the logic of big data that determines the headline of news composition, and the introduction of digital security (cyber security). Second, internet socialization wisely uses a booklet instrument which aims to provide students with an understanding of how social media is used and its positive and negative impacts in a variety of case study perspectives.Keywords: internet; literacy; millennial; training; teenager

The Use of Social Media for Urban Planning

2014 ◽  
pp. 113-134 ◽  
Author(s):  
Fabian Neuhaus
Keyword(s):  
Social Media ◽  
Big Data ◽  
Urban Areas ◽  
Large Scale ◽  
Urban Environments ◽  
Data Systems ◽  
User Management ◽  
Social Nature ◽  
User Data ◽  
Use Of Social Media

User data created in the digital context has increasingly been of interest to analysis and spatial analysis in particular. Large scale computer user management systems such as digital ticketing and social networking are creating vast amount of data. Such data systems can contain information generated by potentially millions of individuals. This kind of data has been termed big data. The analysis of big data can in its spatial but also in a temporal and social nature be of much interest for analysis in the context of cities and urban areas. This chapter discusses this potential along with a selection of sample work and an in-depth case study. Hereby the focus is mainly on the use and employment of insight gained from social media data, especially the Twitter platform, in regards to cities and urban environments. The first part of the chapter discusses a range of examples that make use of big data and the mapping of digital social network data. The second part discusses the way the data is collected and processed. An important section is dedicated to the aspects of ethical considerations. A summary and an outlook are discussed at the end.

scholarly journals Integration of social media with healthcare big data for improved service delivery

2018 ◽  
Vol 20 (1) ◽  
Author(s):  
Sibulela Mgudlwa ◽  
Tiko Iyamu
Keyword(s):  
Social Media ◽  
Big Data ◽  
Service Delivery ◽  
Healthcare Delivery ◽  
Healthcare Services ◽  
Security And Privacy ◽  
Related Services ◽  
Health Related ◽  
Factors Of Influence ◽  
Use Of Social Media

Background: In the last decade, social media users across the world have crossed 1 billion, making it one of the fastest growing sources of big data. Also, people needing healthcare continue to increase in every society. Through accessibility, communication and interaction between health practitioners and patients, this type of ever-growing, social media subscriber–based platform can be of significant use in improving healthcare delivery to society. However, users encounter serious challenges in their attempts to make use of social media and big data for health-related services. The challenges are primarily caused by factors such as integration, complexity, security and privacy. The challenges are mainly owing to the sensitive nature of the healthcare environment, as a result of personalisation and privacy of information. Objectives: The objectives of the study were to examine and gain a better understanding of the complexities that are associated with the use of social media and healthcare big data, through influencing factors, and to develop a framework that can be used to improve health-related services to the patients. Methods: The interpretivist approach was employed, within which qualitative data were collected. This included documents and existing literature in the areas of social media and healthcare big data. To have a good spread of both previous and current state of events within the phenomena being studied, literature published between 2006 and 2016 were gathered. The data were interpretively analysed. Results: Based on the analysis of the data, factors of influence were found, which were used to develop a model. The model illustrates how the factors of influence can enable and at the same time constrain the use of social media for healthcare services. The factors were interpreted from which a framework was developed. The framework is intended to guide integration of social media with healthcare big data through which service delivery to patients can be improved. Conclusion: This study can be used to guide integration of social media with healthcare big data by health facilities in the communities. The study contributes to healthcare workers’ awareness on how social media can possibly be used to improve the services that they provide to the needy. Also, the study will benefit information systems and technologies and academic domains, particularly from the health services’ perspective.

scholarly journals Use of social media big data as a novel HIV surveillance tool in South Africa

PLoS ONE ◽  
2020 ◽  
Vol 15 (10) ◽  
pp. e0239304
Author(s):  
Alastair van Heerden ◽  
Sean Young
Keyword(s):  
South Africa ◽  
Social Media ◽  
Big Data ◽  
Hiv Surveillance ◽  
Use Of Social Media
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