scholarly journals Analyzing temporal patterns of topic diversity using graph clustering

2020 ◽  
Author(s):  
Takako Hashimoto ◽  
David Lawrence Shepard ◽  
Tetsuji Kuboyama ◽  
Kilho Shin ◽  
Ryota Kobayashi ◽  
...  
Keyword(s):  
Social Media ◽  
Data Processing ◽  
Temporal Patterns ◽  
Graph Clustering ◽  
Disaster Mitigation ◽  
Great Earthquake ◽  
Using Data ◽  
Text Content ◽  
Do So

Abstract During a disaster, social media can be both a source of help and of danger: Social media has a potential to diffuse rumors, and officials involved in disaster mitigation must react quickly to the spread of rumor on social media. In this paper, we investigate how topic diversity (i.e., homogeneity of opinions in a topic) depends on the truthfulness of a topic (whether it is a rumor or a non-rumor) and how the topic diversity changes in time after a disaster. To do so, we develop a method for quantifying the topic diversity of the tweet data based on text content. The proposed method is based on clustering a tweet graph using Data polishing that automatically determines the number of subtopics. We perform a case study of tweets posted after the East Japan Great Earthquake on March 11, 2011. We find that rumor topics exhibit more homogeneity of opinions in a topic during diffusion than non-rumor topics. Furthermore, we evaluate the performance of our method and demonstrate its improvement on the runtime for data processing over existing methods.

scholarly journals Memetic Moments

2021 ◽  
pp. 23-48
Author(s):  
Naomi Smith ◽  
Simon Copland
Keyword(s):  
Social Media ◽  
News Media ◽  
Social Issues ◽  
Temporal Patterns ◽  
Internet Culture ◽  
Over Time ◽  
Do So

This paper examines how speed shapes internet culture. To do so, it analyses ‘memetic moments’ on Twitter, short-lived and rapidly circulated memes that quickly reach saturation. The paper examines two ‘memetic moments’ on Twitter in 2018 and 2019 to assess how they develop over time. Each case study comprises a week’s worth of relevant tweets that were analysed for temporal patterns. We analyse these ‘memetic moments’ through Lefebvre’s (2004) work on rhythmanalysis, arguing that the temporal patterns of memes on Twitter can be understood through his concepts of repetition, presence and dialogue. While seemingly trivial, memetic moments underscore the didactic relationship between social media and news media while also providing a way to approach complex social issues.

scholarly journals Disaster Mitigation Study in School Prone to Earthquake and Tsunami Disaster (Case Study Of SMAN 4 Pariaman)

2020 ◽  
Vol 2 (1) ◽  
pp. 47-55
Author(s):  
Suci Maharani ◽  
Erianjoni Erianjoni
Keyword(s):  
Data Processing ◽  
Quantitative Research ◽  
Disaster Mitigation ◽  
Tsunami Disaster ◽  
A Value ◽  
Earthquake Resistant ◽  
Evacuation Routes ◽  
Evacuation Route ◽  
And Training

SMAN 4 Pariaman is located in an area prone to disasters, especially the earthquake and tsunami. SMAN 4 Pariaman is located on the coast of the West Coast of Sumatra, which belongs to the tsunami red zone in Pariaman City. Based on this, all school residents must be prepared to face the disasters that will occur, especially the earthquake and tsunami. This type of research is a combination of research (Mixed Methods). This research is a step of research by combining two pre-existing forms of research namely qualitative research and quantitative research. The results of the study found 5 main priorities, namely 1) Optimization of meeting the basic needs of disaster management with a value of (5,000), 2) Application of evacuation routes and zones of vulnerability to our position or presence (4,556), 3) Socialization through facilities and infrastructure prepared by parties BPBD with grades (4,412), 4) Make maps to the evacuation sites of schools with grades (4,200), 5) Facilitate evacuation route signs such as posters with grades (3,587). The results of the FGD and data processing by data processing with Bayes method obtained 5 main priorities, namely 1) Schools must incorporate knowledge about disasters into the curriculum or subjects with values ​​(5,100), 2) Improvement of earthquake resistant facilities (4,467), 3) Schools must enter disaster mitigation activities into extracurricular values ​​(3,933), 4) Making maps of tsunami evacuation routes to TES with values ​​(3,923), 5) Conduct TRC education and training with a value of 3,857.

scholarly journals «That’s just my opinion»: The principle of expression and the public debate

2021 ◽  
Author(s):  
Ida Andersen
Keyword(s):  
Social Media ◽  
Public Debate ◽  
Point Of View ◽  
Ordinary People ◽  
Political Leaders ◽  
Public Rhetoric ◽  
The Public ◽  
Informal Setting ◽  
Do So

Public debate is commonly understood as deliberation; as the weighing of arguments for and against choices of future action. A principle of deliberation entails that interlocutors approach one another through argumentation in favour and against a given point of view. In this article, I outline a competing debate ideal, the principle of expression, and demonstrate its pervasiveness in contemporary public rhetoric. According to this communicative ideal, public debate is understood not as an exchange of opinion but rather a display of opinions. The beliefs and opinions voiced in the public debate should, moreover, be seen as purely expressive: They arise out of the individual’s inviolable interiority and individuality. As such, argumentation is neither required nor legitimate. In the article, I outline the principle of expression and discuss its implications for the democratic public debate. I do so, by drawing on a case study of public debate in social media, as well as recent utterances spoken by political leaders. In moving between the utterances of ordinary people engaged in public debate in the informal setting of social media and the utterances of political leaders in formal settings, I demonstrate the pervasiveness of the principle of expression in contemporary public rhetoric.

scholarly journals Analisis Graph Clustering Terhadap User Behavior Di Official Account Facebook Universitas Bina Darma Palembang

2020 ◽  
Vol 1 (2) ◽  
pp. 63-76
Author(s):  
Ayu Gahardina ◽  
Ilman Zuhri Yadi
Keyword(s):  
Social Media ◽  
User Behavior ◽  
Graph Clustering ◽  
Network Visualization ◽  
Financial Fraud ◽  
Graph Visualization ◽  
Targeted Attacks ◽  
Data Clusters ◽  
Using Data ◽  
The Times

At a time when the times are increasing, it cannot be denied that almost some people use social media as a means of communication. Not only is it a means of communication, even social media is a place to show their habits. Without realizing it, the more information that is spread on social media regarding self-information, it will make information that can benefit others. User Behavior Analytics as defined by Gartner is a cybersecurity process of detection of insider threats, targeted attacks and financial fraud. The UBA solution looks at patterns of human behaviour and then applies algorithms and statistical analysis to detect meaningful anomalies of those patterns. Gephi is an open-source network visualization platform that can be used to analyze various cases using graph visualization. One of these analyzes can be done by using data that has been scraped from social media, Facebook, social media, Bina Darma University to get data visualization of the cases being tested. From these results, the graph clustering process is carried out in Gephi to obtain data clusters. The results will then be analyzed and identified so that they can become material for information about social media user behaviour.

scholarly journals Pengaruh Gadget Terhadap Perilaku Sosial Anak Usia 4 Tahun di Dusun Cempaka Putih

2021 ◽  
Vol 5 (2) ◽  
pp. 229-238
Author(s):  
Prista Sari ◽  
Serli Marlina
Keyword(s):  
Social Support ◽  
Social Behavior ◽  
Case Study Approach ◽  
Negative Effects ◽  
Study Approach ◽  
Analysis Technique ◽  
The Social ◽  
Using Data ◽  
Do So

Abstrak: Penelitian ini bertujuan untuk mendeskripsikan pengaruh gadget terhadap perilaku sosial anak usia 4 tahun di Dusun Cempaka Putih. Jenis penelitian ini menggunakan penelitian kualitatif deskriptif dengan pendekatan studi kasus. Peneliti mengumpulkan data dengan cara observasi, wawancara dan dokumentasi. Teknik analisis data dilakukan dengan teknik triangulasi data. Hasil penelitian ini menunjukkan bahwa pengaruh gadget terhadap perilaku sosial memberikan pengaruh positif dan juga negatif, baik perilaku yang sosial maupun tidak sosial. Perilaku yang muncul pada diri anak tanpa adanya dorongan dan paksaan untuk melakukannya. Bentuk perilaku sosial anak usia 4 tahun seperti perilaku meniru, persaingan, kerjasama, bersimpati, dukungan sosial serta perilaku akrab ketika bermain, bercanda bersama teman dan juga dengan lingkungan sekitar anak. Kemudian peneliti juga menemukan perilaku tidak sosial anak yang muncul ketika menginginkan gadget dengan membentak karena sudah terlalu lama menggunakan gadget. Kata kunci: anak usia dini, perilaku sosial, gadget Abstract: This study aims to describe the effect of gadgets on the social behavior of 4 year olds in Dusun Cempaka Putih. This type of research uses descriptive qualitative research with a case study approach. Researchers collected data by means of observation, interviews and documentation. The data analysis technique was done by using data triangulation technique. The results of this study indicate that the effect of gadgets on social behavior has positive and negative effects, both social and non-social behavior. Behavior that appears in children without encouragement and coercion to do so. Forms of social behavior of 4 year olds such as imitation behavior, competition, cooperation, sympathy, social support and familiar behavior when playing, joking with friends and also with the environment around the child. Then the researchers also found children's unsocial behavior that appeared when they wanted gadgets by yelling at them because they had been using gadgets for too long. Keywords: early childhood, social behavior, gadgets

scholarly journals Caution: Rumors ahead—A case study on the debunking of false information on Twitter

2020 ◽  
Vol 7 (2) ◽  
pp. 205395172098012
Author(s):  
Anna-Katharina Jung ◽  
Björn Ross ◽  
Stefan Stieglitz
Keyword(s):  
Social Media ◽  
User Generated Content ◽  
Media Content ◽  
Network Structures ◽  
False Information ◽  
Highly Sensitive ◽  
User Groups ◽  
Official Sources ◽  
Do So

As false information may spread rapidly on social media, a profound understanding of how it can be debunked is required. This study offers empirical insights into the development of rumors after they are debunked, the various user groups who are involved in the process, and their network structures. As crisis situations are highly sensitive to the spread of rumors, Twitter posts from during the 2017 G20 summit are examined. Tweets regarding five rumors that were debunked during this event were manually coded into the following categories: rumor, debunking message, uncertainty about rumor, uncertainty about debunking message, and others. Our findings show that rumors which are debunked early and vehemently by official sources are the most likely to be stopped. When individuals participate in the process, they typically do so by sharing uncommented media content, as opposed to contributing user-generated content. Depending on the conditions in which a rumor arises, different network structures can be found. Since some rumors are easier for individuals to verify than others, our results have implications for the priorities of journalists and official sources.

scholarly journals DESCRIBING THE VERTICAL STRUCTURE OF INFORMAL SETTLEMENTS ON THE BASIS OF LIDAR DATA – A CASE STUDY FOR <i>FAVELAS</i> (SLUMS) IN SAO PAULO CITY

2019 ◽  
Vol IV-2/W5 ◽  
pp. 437-444 ◽  
Author(s):  
S. C. L. Ribeiro ◽  
M. Jarzabek-Rychard ◽  
J. P. Cintra ◽  
H.-G. Maas
Keyword(s):  
Data Processing ◽  
Informal Settlements ◽  
Airborne Lidar ◽  
Lidar Data ◽  
Processing Pipeline ◽  
Airborne Lidar Data ◽  
The City ◽  
Do So ◽  
Building Reconstruction

<p><strong>Abstract.</strong> Cadastral mapping of <i>favela</i>’s agglomerated buildings in informal settlements at Level of Detail 1 (LoD1) usually requires specific surveys and extensive manual data processing. Therefore, there is a demand for including the <i>favelas</i> in the city map production on the basis of Lidar surveys, as well as the detection of their vertical growth. However, the currently developed algorithms for automatically extracting buildings from airborne Lidar data have mainly been tested only for regular building reconstruction. This study aims to develop a Lidar data processing pipeline enabling to compute metrics related to intraurban informal settlements. To do so, we present a procedure to generate <i>favela</i>’s buildings delineation, height, floors’ number and built area and apply them to six case studies in <i>favela</i> typo-morphologies. We conducted an exploratory analysis in order to obtain the adequate parameters of the processing pipeline and its evaluation, using open source, free license and self-developed software. The results are compared to reference data from the manual stereo plotting, achieving a quality index in the building reconstruction about 70%. We also calculated the growth density, measured by gross Floor Area Ratio index inside settlement, revealing values from 29% to 74% considering different time periods.</p>

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