A mathematical model for the hit phenomenon in entertainment within a society is presented as
a stochastic process of interactions of human dynamics. In this paper, we analyzed music to the
concert.Knowing the cost of advertising the concert is difficult. But exposure to the media of the
artist can be seen. We tried to analysis of music concert itself by performing a prediction of
reputation of artists during the concert tour from this exposure.In this paper, The world most
popular rock band Coldplay is analyzed using the SNS data. L'Arc-en-Ciel of Japanese rock
band and LADYGAGA are also analyzed using the data of SNS as well.
ANALYSIS MUSIC CONCERTS ADOPTING THE MATHEMATICAL MODEL OF HIT PHENOMENAcsandit
A mathematical model for the hit phenomenon in entertainment within a society is presented as
a stochastic process of interactions of human dynamics. In this paper, we analyzed music to the
concert.Knowing the cost of advertising the concert is difficult. But exposure to the media of the
artist can be seen. We tried to analysis of music concert itself by performing a prediction of
reputation of artists during the concert tour from this exposure.In this paper, The world most
popular rock band Coldplay is analyzed using the SNS data. L'Arc-en-Ciel of Japanese rock
band and LADYGAGA are also analyzed using the data of SNS as well.
Consideration of reputation prediction of ladygaga using the mathematical mod...ijma
A mathematical model for the hit phenomenon in entertainment within a society is presented as a stochastic
process of interactions of human dynamics. The calculations for the Japanese motion picture market based
on to the mathematical model agree very well with the actual residue distribution in time. LADYGAGA are
also analyzed using the data of SNS as well.
Consideration of Reputation Prediction of Ladygaga Using the Mathematical Mod...ijma
A mathematical model for the hit phenomenon in entertainment within a society is presented as a stochastic
process of interactions of human dynamics. The calculations for the Japanese motion picture market based
on to the mathematical model agree very well with the actual residue distribution in time. LADYGAGA are
also analyzed using the data of SNS as well.
Predict Facebook Impressions Adopting a Mathematical Model of the Hit PhenomenonZac Darcy
1. The document presents a mathematical model for predicting Facebook impressions based on the number of actions (likes, shares, comments).
2. The model was applied to a theater company's Facebook page from August to September 2013. Increasing actions before and after a September 1st event led to more page views, matching the model's predictions.
3. Key factors in the model were the number of article updates, likes/shares, and total actions. The effect of actions on increasing page views (Cadv) was much higher after the event, showing the ongoing advertising effect of more actions.
Predict facebook impressions adopting a mathematical model of the hit phenomenonZac Darcy
A mathematical model for the hit phenomenon in entertainment within a society is presented as a stochastic
process of interactions of human dynamics. The calculations for the Japanese motion picture market based
on to the mathematical model agree very well with the actual residue distribution in time. Views of
Facebook could be predicted by the number of all the action in the viewer Facebook on this paper. In other
words, Views So if determined by the actions for which you want to advertise, we will begin to see is how to
should be utilized in advertising using Facebook future.
IRJET- Emotion based Music Recommendation SystemIRJET Journal
This document discusses an emotion-based music recommendation system that uses facial expression recognition to determine a user's mood and generate an appropriate playlist. It first discusses existing approaches to emotion detection in music, including models that represent emotions in two-dimensional spaces of arousal and valence. It then outlines the objectives of developing a new system using machine learning approaches to detect emotions from facial images in order to provide personalized music recommendations based on the user's mood. Finally, it reviews several related works that use techniques like Active Appearance Models, Bezier curve fitting, and support vector machines for facial expression analysis and emotion recognition from images.
(GCSE)Our Town Essay - GCSE English - Marked by Teachers.com. My Hometown Essay | My Town Essay in English | My Hometown Paragraph .... My Home Town - GCSE English - Marked by Teachers.com. My City Essay | Essay on My City for Students and Children in English .... Our Town Essay - Our Town - ncufoundation.x.fc2.com. Analysis of Anyone Lived in a Pretty How Town Essay Example .... Our Town The play Essay Example | Topics and Well Written Essays - 500 .... My Town Essay || Essay on my Town. Our Town Writing Assignment. Wonderful My Hometown Essay ~ Thatsnotus. My Favorite City Essay – Telegraph. 017 Essay Of My Hometown P1 ~ Thatsnotus. The Our Town by Thorton Wilder Research Paper Example | Topics and Well .... how to write essay my Town || my town essay writing in English|| - YouTube. Our Town (full text). Exceptional Write About Your Hometown Essay ~ Thatsnotus. Our Town by Wilder Thornton Essay Example | Topics and Well Written .... Free college essays our town by thornton wilder 123helpme. We lived in a small town. - GCSE English - Marked by Teachers.com. My Hometown Essay 500 Words: Cherishing Memories!. Our Family, Our Town: Essays on Family and Local History Sources in the .... Paper towns book review essay in 2021 | Paper towns book, Review essay .... ️20 lines Essay writing on My Town/City in English | My Favourite City .... This is a essay comparing my town with the town in the play "Our Town .... Town Life - GCSE English - Marked by Teachers.com. 004 My Hometown Essay English Writing Oslash Sect Ugrave Write About .... Best Custom Academic Essay Writing Help & Writing Services UK Online .... Our town stage manager essay. Our Town Essay In Odia Our Town Essay
The placement of outdoor advertising is a crucial task where people identify those are as intrusive elements of the built environment. Thus, there is a need of finding, why outdoor advertisements are considered as intrusive elements. In this background, this research aims to examine an association between the level of intrusiveness (a negative visual quality) and the level of visual information. The methodology of this research includes Shannon’s Information Theory based entropy values to measure the level of visual information and the level of intrusiveness is evaluated by conducting a perception survey. The result of the level of visual information is correlated with the road users’ perception to see the association. The findings of the research are, the t-test result shows the outdoor advertising add visual information to the built environment and the correlation analysis depicts a positive correlation between the level of visual information and intrusiveness. Moreover, this research introduces a widely applicable methodology that proves the possibility of employing entropy to measure the visual information and permits advertisers and planners to objectively decide the placement or elimination of outdoor advertising.
ANALYSIS MUSIC CONCERTS ADOPTING THE MATHEMATICAL MODEL OF HIT PHENOMENAcsandit
A mathematical model for the hit phenomenon in entertainment within a society is presented as
a stochastic process of interactions of human dynamics. In this paper, we analyzed music to the
concert.Knowing the cost of advertising the concert is difficult. But exposure to the media of the
artist can be seen. We tried to analysis of music concert itself by performing a prediction of
reputation of artists during the concert tour from this exposure.In this paper, The world most
popular rock band Coldplay is analyzed using the SNS data. L'Arc-en-Ciel of Japanese rock
band and LADYGAGA are also analyzed using the data of SNS as well.
Consideration of reputation prediction of ladygaga using the mathematical mod...ijma
A mathematical model for the hit phenomenon in entertainment within a society is presented as a stochastic
process of interactions of human dynamics. The calculations for the Japanese motion picture market based
on to the mathematical model agree very well with the actual residue distribution in time. LADYGAGA are
also analyzed using the data of SNS as well.
Consideration of Reputation Prediction of Ladygaga Using the Mathematical Mod...ijma
A mathematical model for the hit phenomenon in entertainment within a society is presented as a stochastic
process of interactions of human dynamics. The calculations for the Japanese motion picture market based
on to the mathematical model agree very well with the actual residue distribution in time. LADYGAGA are
also analyzed using the data of SNS as well.
Predict Facebook Impressions Adopting a Mathematical Model of the Hit PhenomenonZac Darcy
1. The document presents a mathematical model for predicting Facebook impressions based on the number of actions (likes, shares, comments).
2. The model was applied to a theater company's Facebook page from August to September 2013. Increasing actions before and after a September 1st event led to more page views, matching the model's predictions.
3. Key factors in the model were the number of article updates, likes/shares, and total actions. The effect of actions on increasing page views (Cadv) was much higher after the event, showing the ongoing advertising effect of more actions.
Predict facebook impressions adopting a mathematical model of the hit phenomenonZac Darcy
A mathematical model for the hit phenomenon in entertainment within a society is presented as a stochastic
process of interactions of human dynamics. The calculations for the Japanese motion picture market based
on to the mathematical model agree very well with the actual residue distribution in time. Views of
Facebook could be predicted by the number of all the action in the viewer Facebook on this paper. In other
words, Views So if determined by the actions for which you want to advertise, we will begin to see is how to
should be utilized in advertising using Facebook future.
IRJET- Emotion based Music Recommendation SystemIRJET Journal
This document discusses an emotion-based music recommendation system that uses facial expression recognition to determine a user's mood and generate an appropriate playlist. It first discusses existing approaches to emotion detection in music, including models that represent emotions in two-dimensional spaces of arousal and valence. It then outlines the objectives of developing a new system using machine learning approaches to detect emotions from facial images in order to provide personalized music recommendations based on the user's mood. Finally, it reviews several related works that use techniques like Active Appearance Models, Bezier curve fitting, and support vector machines for facial expression analysis and emotion recognition from images.
(GCSE)Our Town Essay - GCSE English - Marked by Teachers.com. My Hometown Essay | My Town Essay in English | My Hometown Paragraph .... My Home Town - GCSE English - Marked by Teachers.com. My City Essay | Essay on My City for Students and Children in English .... Our Town Essay - Our Town - ncufoundation.x.fc2.com. Analysis of Anyone Lived in a Pretty How Town Essay Example .... Our Town The play Essay Example | Topics and Well Written Essays - 500 .... My Town Essay || Essay on my Town. Our Town Writing Assignment. Wonderful My Hometown Essay ~ Thatsnotus. My Favorite City Essay – Telegraph. 017 Essay Of My Hometown P1 ~ Thatsnotus. The Our Town by Thorton Wilder Research Paper Example | Topics and Well .... how to write essay my Town || my town essay writing in English|| - YouTube. Our Town (full text). Exceptional Write About Your Hometown Essay ~ Thatsnotus. Our Town by Wilder Thornton Essay Example | Topics and Well Written .... Free college essays our town by thornton wilder 123helpme. We lived in a small town. - GCSE English - Marked by Teachers.com. My Hometown Essay 500 Words: Cherishing Memories!. Our Family, Our Town: Essays on Family and Local History Sources in the .... Paper towns book review essay in 2021 | Paper towns book, Review essay .... ️20 lines Essay writing on My Town/City in English | My Favourite City .... This is a essay comparing my town with the town in the play "Our Town .... Town Life - GCSE English - Marked by Teachers.com. 004 My Hometown Essay English Writing Oslash Sect Ugrave Write About .... Best Custom Academic Essay Writing Help & Writing Services UK Online .... Our town stage manager essay. Our Town Essay In Odia Our Town Essay
The placement of outdoor advertising is a crucial task where people identify those are as intrusive elements of the built environment. Thus, there is a need of finding, why outdoor advertisements are considered as intrusive elements. In this background, this research aims to examine an association between the level of intrusiveness (a negative visual quality) and the level of visual information. The methodology of this research includes Shannon’s Information Theory based entropy values to measure the level of visual information and the level of intrusiveness is evaluated by conducting a perception survey. The result of the level of visual information is correlated with the road users’ perception to see the association. The findings of the research are, the t-test result shows the outdoor advertising add visual information to the built environment and the correlation analysis depicts a positive correlation between the level of visual information and intrusiveness. Moreover, this research introduces a widely applicable methodology that proves the possibility of employing entropy to measure the visual information and permits advertisers and planners to objectively decide the placement or elimination of outdoor advertising.
Emotion In Advertising Part IIIAmber Winfrey, B.docxSALU18
Emotion In Advertising: Part IIIAmber Winfrey, BSCOM/324
Abstract
In this final paper, we will be performing a content analysis on peer-reviewed articles based on emotions in persuasive advertising. Each of us will answer specific questions related to the effectiveness, methods that were used, and other conclusions we have drawn from the articles.
Emotion In Advertising: Part IIITheories(Insert Text)Implications Through research using peer-reviewed articles on the effectiveness of emotional persuasive advertising, it can be implied that emotion positively affects the success of the advertisement overall. Humans have created “the general conception that emotions are not a useless by-product but are essential for rational thinking and behavior” (Karolien and Siegfried, 2006, pg. 18). People tend to make their ultimate decision on a product or service based on the emotion that they have attached to it. Emotion can override cognition if presented correctly. Advertisements have figured this out, and the use of emotional appeal has skyrocketed. One peer-reviewed study article explains that the use of pride and sympathy in advertisements yields the most effective results (Kemp, Kennett, and Kees, 2013). Another peer-reviewed article explains the positive affects of nostalgic advertising techniques. “We conducted two empirical studies to examine these processes. Our results show that nostalgic advertisements evoke more positive emotions and more intensive mental images than non-nostalgic advertisements which in turn affect consumers' attitudes toward the ad and toward the product and their purchase intentions” (Bambauer-Sachse and Gierl, 2009). With these studies done, we can see a positive influence emotion has of the effectiveness of advertisements.Research Methods As mentioned above, researchers tend to use Empirical research to find data on the effectiveness of emotion-based advertisements. Empirical research allows researchers to observe the reactions of the advertisements’ audience. There are specific ways to test the effectiveness of emotion in advertisement, and one way is called self-report measurement. These measures have been widely used to measure emotional reactions to advertisements. “Self-report measures register the respondent's subjective feeling. A ‘subjective feeling’ can be defined as the consciously felt experience of emotions as expressed by the individual (Stout and Leckenby, 1986) In general, we distinguish three types of self-report methods that all measure subjective feelings: verbal self-report, visual self-report, and moment-to-moment rating” (Karolien and Siegfried 2006, pg. 19). Verbal self-report has individuals verbally express how they are feeling about the advertisements using open-ended questions. Visual self-report is similar, but individuals are asked to choose how they feel about the advertisement from cartoon-like figures that each expresses a different emotion. Moment-to-moment rating simply has the individual ...
Factors affect consumer response towards digital advertising - Literature reviewWaleed Ahmed
In this article you can explore how multimedia factors such as music, images, animations, and videos affect consumer response towards advertising in digital space.
Twitter Based Sentimental Analysis of Impact of COVID-19 on Economy using Naï...CSCJournals
COVID-19 outbreak brought unprecedented changes to people’s lives and made significant impact on the US and world economy. It wrought havoc on livelihood, businesses and ultimately the economy. Understanding how the sentiment on economy is changing and main factors that drives the change will help the public to make sense of the impact and generating relief measures. In this paper we present a novel Naïve Bayes model using a word-based training approach to perform the analysis and determine the sentiment of Twitter posts. The novelty of this methodology is that we use labelled set of words to classify the tweets to perform sentimental analysis as opposed to the more expensive methods of manually classifying the tweets. We then perform analysis on the resulting labelled tweets to observe the trend of economy from February 2020 to July 2020 and determine how COVID-19 impacted the economy based on what people posted on Twitter. We found our data was largely inclined towards negative sentiment indicating that the economy had been largely negatively impacted as a result of COVID-19. Further, we correlate the sentiment with the stock market index aka Dow Jones Industrial Average (DJIA) because stock market movement closely mirrors the economic sentiment and is shown as one of the main factors influencing people's attitude change from our sentimental analysis. We found strong correlation between the two, indicating stock market change is one of the driving factors behind people's opinion change about economy during pandemic. This work proposed and tested a generic lower-cost text-based model to analysis generic public’s opinion about an event which can be adopted to analyze other topics.
Concept of Community Policing Essay Example | StudyHippo.com. ⇉Community-Oriented Policing Strategies Essay Example | GraduateWay. Benefits and Challenges of Community Policing Research Paper Example .... Policing The Police Essay | Police | Public Administration. (PDF) Community Policing. ⭐ Community policing research topics. Community Policing Research .... 2002CCJ- Introduction to Policing Assignment | 2002CCJ - Introduction .... Law - Community Policing Essay Example | Topics and Well Written Essays .... ≫ Community Oriented Policing Free Essay Sample on Samploon.com. (PDF) Community policing. Community policing essay - Premier & Unique School Writings and Services. Community Policing. 21st century policing pillar three - technology and social media an….
Hand Writing Paper With Pen Image - Free Stock Photo - Public DomainJulie Moore
This document discusses the history of the Delta guitar brand. It explains that blues guitar originated in the 19th century Deep South of the US among oppressed black populations. The Mississippi Delta region gave rise to Delta Blues music, known for its repetitive phrases and percussive style. Delta Blues influenced the development of slide guitar techniques using bottles and knives. The Delta brand was founded in the 1960s and aimed to recreate the tone of classic blues guitars from the 1920s-40s at an affordable price.
INTRODUCTIONIn these modern day competitive business environment.docxnormanibarber20063
INTRODUCTION
In these modern day competitive business environment, every business strives to grow and mostly need to retain their customers to increase organizational growth, development and effective performance. This analysis focuses on using Customer behavior data to improve Customer Retention.
The Churn rate is the number of Customers or subscribers who stop subscribing to a service or company, which means these Customers have “Churned”. Telecommunication companies are concerned about the number of Customers leaving their service. For this reason, they need to understand who is leaving and why they are leaving.
To analyze this, we are provided with data set which includes information about:
Customers who left within the last month – the column is called Churn
Services that each Customer has signed up for – Phone, Multiple lines, Internet, Online Security, Online backup, Device Protection, Tech Support, Streaming TV and Movies.
Customer Account Information – how long they’ve been a Customer, Contract, Payment Method, Paperless billing, Monthly Charges and Total Charges
Demographic Information about Customers – Gender, Age range, if Customers have Partners and Dependents.
ANALYZING DATA THROUGH VISUALIZATION USING WATSON ANALYTICS
1. Most Commonly Used Internet Service.
The Fiber Optics Internet Service is the most used Internet Service by the Customers as shown in the blue bar.
2. Most Used Payment Method and Contract
The representation indicates that both Female and Male Customers mostly used the Electronic Check Payment Method with the Month-to-Month Contract which is shown in the blue bar.
3. Internet services used with Phone Services
The representation shows that the Fiber Optics Internet Services is commonly used with the Phone Services which is indicated in the yellow bar.
4. Most used Statement Method
The pie chart indicates that Customers mostly used the Paperless Statement method which is displayed in green color.
5. What drives Churn?
The key drivers are Tenure, Total Charges, Monthly Charges, Contract, Online Security and Internet. The spiral visualization shows how one driver (Tenure) drives Churn at a time which is in blue dots and also how two drivers drives Churn which are in orange dots.
6. What is the Predictive Model for Churn?
Using Decision Tree, decision rules show Contracts and thirteen (13) other rules predict Churn which are displayed in green colours with a Predictive strength of 80%.
7. Contract and Internet Services drives Churn
From the above representation, Month-to-month customers using Fiber Optics are majorly the Churned customers which indicates that both Contract & Internet Services drive Churn and it is represented by the green color.
8. Tenure drives Churn
The customers with Tenure <5 are mostly the Churn Customers whereas Customers with Tenure >5 are the least Churn Customers which are shown in the green colour bars.
9. What drives Total Charges?
Several combined and Single inputs driv.
Here is a potential outline for a research paper on Alibaba:
I. Introduction
- Thesis: This paper will provide an overview of Alibaba, including its history, business model, products/services, and future outlook.
II. History
- Founded in 1999 by Jack Ma and 17 others in Hangzhou, China
- Began as a business-to-business marketplace to connect Chinese manufacturers with overseas buyers
- Rapid growth and expansion of services over the years
III. Business Model
- e-commerce platforms (Taobao, Tmall)
- Cloud computing (Alibaba Cloud)
- Digital media and entertainment (Youku)
- Innovation initiatives (Alibaba DAM
International Journal of Business and Management Invention (IJBMI) is an international journal intended for professionals and researchers in all fields of Business and Management. IJBMI publishes research articles and reviews within the whole field Business and Management, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
PREDICTING ELECTION OUTCOME FROM SOCIAL MEDIA DATAkevig
In this era of technology, enormous Online Social Networking Sites (OSNs) have arisen as a medium of expressing any opinions, thoughts towards anything even support their status against any social or political matter at the same time. Nowadays, people connected to those networks are more likely to prefer to employ themselves utilizing these online platforms to exhibit their standings upon any political organizations
participating in the election throughout the whole election period. The aim of this paper is to predict the outcome of the election by engaging the tweets posted on Twitter pertaining to the Australian federal election-2019 held on May 18, 2019. We aggregated two efficacious techniques in order to extract the
information from the tweet data to count a virtual vote for each corresponding political group. The original results of the election closely match the findings of our investigation, published by the Australian Electoral Commission.
PREDICTING ELECTION OUTCOME FROM SOCIAL MEDIA DATAijnlc
In this era of technology, enormous Online Social Networking Sites (OSNs) have arisen as a medium of expressing any opinions, thoughts towards anything even support their status against any social or political matter at the same time. Nowadays, people connected to those networks are more likely to prefer to employ themselves utilizing these online platforms to exhibit their standings upon any political organizations participating in the election throughout the whole election period. The aim of this paper is to predict the outcome of the election by engaging the tweets posted on Twitter pertaining to the Australian federal election-2019 held on May 18, 2019. We aggregated two efficacious techniques in order to extract the information from the tweet data to count a virtual vote for each corresponding political group. The original results of the election closely match the findings of our investigation, published by the Australian Electoral Commission.
Essay on Crimes and Punishment by Cesare Beccaria. Capital Punishment Essay | Essay on Capital Punishment for Students and .... College Essay: Crime and punishment essays. An essay on crimes and punishments, translated from the Italian by .... An Essay on Crimes and Punishments: Translated from the Italian .... Crime and punishment theme essay prompts. Crime and Punishment Essay | Essay on Crime and Punishment for Students .... capital punishment essay 2 | Capital Punishment | Guilt (Law) | Free 30 .... Sentencing & Punishment Essay | Legal Studies - Year 12 HSC | Thinkswap. Crime & punishment - essay / Esej / Zadani-seminarky.cz. Essay On Crimes And Punishment. Crime and Punishment essay plans | Teaching Resources. Capital Punishment Crime Deterrence - Free Essay Example | PapersOwl.com. Crime & Punishment Essay #1 | Crime And Punishment | Paranoia. The Role of Setting in Dostoevsky's Crime and Punishment: [Essay .... An Essay on Crimes and Punishments. by the Marquis Beccaria of Milan ....
PREDICTING ELECTION OUTCOME FROM SOCIAL MEDIA DATAkevig
In this era of technology, enormous Online Social Networking Sites (OSNs) have arisen as a medium of
expressing any opinions, thoughts towards anything even support their status against any social or
political matter at the same time. Nowadays, people connected to those networks are more likely to prefer
to employ themselves utilizing these online platforms to exhibit their standings upon any political
organizations participating in the election throughout the whole election period. The aim of this paper is to
predict the outcome of the election by engaging the tweets posted on Twitter pertaining to the Australian
federal election-2019 held on May 18, 2019. We aggregated two efficacious techniques in order to extract
the information from the tweet data to count a virtual vote for each corresponding political group. The
original results of the election closely match the findings of our investigation, published by the Australian
Electoral Commission.
PREDICTING ELECTION OUTCOME FROM SOCIAL MEDIA DATAkevig
In this era of technology, enormous Online Social Networking Sites (OSNs) have arisen as a medium of
expressing any opinions, thoughts towards anything even support their status against any social or
political matter at the same time. Nowadays, people connected to those networks are more likely to prefer
to employ themselves utilizing these online platforms to exhibit their standings upon any political
organizations participating in the election throughout the whole election period. The aim of this paper is to
predict the outcome of the election by engaging the tweets posted on Twitter pertaining to the Australian
federal election-2019 held on May 18, 2019. We aggregated two efficacious techniques in order to extract
the information from the tweet data to count a virtual vote for each corresponding political group. The
original results of the election closely match the findings of our investigation, published by the Australian
Electoral Commission.
complementary roles of Traditiona and Social Media.pdfAnjanette Delgado
The document discusses the complementary roles of traditional media and social media in driving marketing performance. It examines how media publicity from traditional and social media outlets jointly impact marketing outcomes such as sales. The authors analyze data on media activity and sales for a microfinance website over 14 months. They find that both traditional and social media significantly influence sales, though traditional media has a larger effect per unit. However, social media has a greater overall effect due to higher volume. The authors also find that social media acts as an information broker between traditional and social media outlets, influencing how media outlets interact with each other.
- Factors affecting consumers' attitudes toward TV commercials for beauty and skin care products were identified through a survey of 280 consumers in South Vietnam. The key factors identified were entertainment, information, celebrity endorsement, annoyance level, and credibility.
- Exploratory factor analysis confirmed these five factors. Multiple regression analysis found that credibility had the strongest effect on attitudes, followed by information, entertainment, annoyance, and celebrity endorsement. The five factors together explained around 50% of the variation in consumers' attitudes.
INDONESIAN CONSUMER ACCEPTANCE OF CHANGES IN THE CONSTRUCTION OF ADVERTISING ...AJHSSR Journal
ABSTRACT : Digital technology has changed the nature of media and the relationship between media and
consumers. Media content has also undergone changes, one of which is a change in advertising construction.
But this change is not perfectly understood by consumers. This incomprehension and ignorance creates
ineffectiveness of advertising impressions in online media. Online media with social media facilities You Tube
has an active consumer response menu. This study seeks to understand how the acceptance of Indonesian
consumers from various layers of consumers in understanding changes in advertising construction. The research
was reinforced by Stuart Hall's theory of receiving communication messages. The population is Indonesian
consumers, the sample is selected in a purposive manner based on criteria, selecting informants with incidental
techniques from several levels of society. The research data used in-depth interviews and interactive analysis of
Miles and Huberman. The results of this study are findings of message reception that vary according to the
background of the consumer environment. Future studies so that there are media literacy and advertising
activities to increase consumer knowledge about marketing pillars
Keywords -Consumer Acceptance, Construction Change, Advertising, Children's Products, You Tube
This document compares the musical industries of Daegu, South Korea and Edinburgh, UK using a triple helix model and webometric analysis. It finds that within Korea, searches for "Edinburgh Musical" attracted more results than "Daegu Musical", indicating Daegu is less established. Internationally, "Edinburgh Musical" also attracted more attention and a more diverse set of domains. While Daegu has grown its musical industry, it has yet to emerge as prominently on the international stage as Edinburgh via the web. For Daegu to maximize its economic and social impact, its musical festival organizers should target a wider range of international websites and domains.
This document compares the musical industries of Daegu, South Korea and Edinburgh, UK using a triple helix model and webometric analysis. It finds that within Korea, searches for "Edinburgh Musical" attracted more results than "Daegu Musical", indicating Daegu is less established. Internationally, "Edinburgh Musical" also attracted more attention and a more diverse set of domains. While Daegu has grown its music industry, it has yet to emerge as prominently on the international stage as Edinburgh via the web. For Daegu to maximize its economic and social impact, its music festival organizers should target a wider range of international websites and domains.
Best College Transfer Essay Examples Most Complete -Tamika Brown
The document provides instructions for getting writing help from HelpWriting.net in 5 steps: 1) Create an account with valid email and password. 2) Complete a 10-minute order form with instructions, sources, and deadline. 3) Review bids from writers and choose one based on qualifications. 4) Review the completed paper and authorize payment if satisfied. 5) Request revisions to ensure satisfaction, and the company offers refunds for plagiarized work.
Protecting elections from social media manipulationscience.sjanekahananbw
Protecting elections from social media manipulation
science.sciencemag.org/content/365/6456/858
Policy ForumScience and Democracy
1. Sinan Aral1,2,3,
2. Dean Eckles1,2
See all authors and affiliations
"ILLUSTRATION: BROBEL
DESIGN"
To what extent are
democratic elections
vulnerable to social
media manipulation? The
fractured state of
research and evidence on
this most important
question facing
democracy is reflected in
the range of
disagreement among
experts. Facebook chief
executive officer Mark
Zuckerberg has repeatedly called on the U.S. government to regulate election manipulation
through social media. But we cannot manage what we do not measure. Without an
organized research agenda that informs policy, democracies will remain vulnerable to
foreign and domestic attacks. Thankfully, social media's effects are, in our view, eminently
measurable. Here, we advocate a research agenda for measuring social media manipulation
of elections, highlight underutilized approaches to rigorous causal inference, and discuss
political, legal, and ethical implications of undertaking such analysis. Consideration of this
research agenda illuminates the need to overcome important trade-offs for public and
corporate policy—for example, between election integrity and privacy. We have promising
research tools, but they have not been applied to election manipulation, mainly because of
a lack of access to data and lack of cooperation from the platforms (driven in part by public
policy and political constraints).
1/11
https://science.sciencemag.org/content/365/6456/858
Two recent studies commissioned by the U.S. Senate Intelligence Committee detail Russian
misinformation campaigns targeting hundreds of millions of U.S. citizens during the 2016
presidential election. The reports highlight, but do not answer, whether social media
manipulation may have influenced the outcome. Some experts argue that Russia-sponsored
content on social media likely did not decide the election because Russian-linked spending
and exposure to fake news (1, 2) were smallscale. Others contend that a combination of
Russian trolls and hacking likely tipped the election for Donald Trump (3). Similar
disagreements exist about the UK referendum on leaving the European Union and recent
elections in Brazil, Sweden, and India.
Such disagreement is understandable, given the distinctive challenges of studying social
media manipulation of elections. For example, unlike the majority of linear television
advertising, social media can be personally targeted; assessing its reach requires analysis of
paid and unpaid media, ranking algorithms and advertising auctions; and causal analysis is
necessary to understand how social media changes opinions and voting.
Luckily, much of the necessary methodology has already been developed. A growing body
of literature illuminates how social media influences behavior. Analysis of misinformation
on Twitter and Facebook (4, 5), and randomized and natural experime ...
ANALYSIS OF LAND SURFACE DEFORMATION GRADIENT BY DINSAR cscpconf
The progressive development of Synthetic Aperture Radar (SAR) systems diversify the exploitation of the generated images by these systems in different applications of geoscience. Detection and monitoring surface deformations, procreated by various phenomena had benefited from this evolution and had been realized by interferometry (InSAR) and differential interferometry (DInSAR) techniques. Nevertheless, spatial and temporal decorrelations of the interferometric couples used, limit strongly the precision of analysis results by these techniques. In this context, we propose, in this work, a methodological approach of surface deformation detection and analysis by differential interferograms to show the limits of this technique according to noise quality and level. The detectability model is generated from the deformation signatures, by simulating a linear fault merged to the images couples of ERS1 / ERS2 sensors acquired in a region of the Algerian south.
4D AUTOMATIC LIP-READING FOR SPEAKER'S FACE IDENTIFCATIONcscpconf
A novel based a trajectory-guided, concatenating approach for synthesizing high-quality image real sample renders video is proposed . The lips reading automated is seeking for modeled the closest real image sample sequence preserve in the library under the data video to the HMM predicted trajectory. The object trajectory is modeled obtained by projecting the face patterns into an KDA feature space is estimated. The approach for speaker's face identification by using synthesise the identity surface of a subject face from a small sample of patterns which sparsely each the view sphere. An KDA algorithm use to the Lip-reading image is discrimination, after that work consisted of in the low dimensional for the fundamental lip features vector is reduced by using the 2D-DCT.The mouth of the set area dimensionality is ordered by a normally reduction base on the PCA to obtain the Eigen lips approach, their proposed approach by[33]. The subjective performance results of the cost function under the automatic lips reading modeled , which wasn’t illustrate the superior performance of the
method.
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In this final paper, we will be performing a content analysis on peer-reviewed articles based on emotions in persuasive advertising. Each of us will answer specific questions related to the effectiveness, methods that were used, and other conclusions we have drawn from the articles.
Emotion In Advertising: Part IIITheories(Insert Text)Implications Through research using peer-reviewed articles on the effectiveness of emotional persuasive advertising, it can be implied that emotion positively affects the success of the advertisement overall. Humans have created “the general conception that emotions are not a useless by-product but are essential for rational thinking and behavior” (Karolien and Siegfried, 2006, pg. 18). People tend to make their ultimate decision on a product or service based on the emotion that they have attached to it. Emotion can override cognition if presented correctly. Advertisements have figured this out, and the use of emotional appeal has skyrocketed. One peer-reviewed study article explains that the use of pride and sympathy in advertisements yields the most effective results (Kemp, Kennett, and Kees, 2013). Another peer-reviewed article explains the positive affects of nostalgic advertising techniques. “We conducted two empirical studies to examine these processes. Our results show that nostalgic advertisements evoke more positive emotions and more intensive mental images than non-nostalgic advertisements which in turn affect consumers' attitudes toward the ad and toward the product and their purchase intentions” (Bambauer-Sachse and Gierl, 2009). With these studies done, we can see a positive influence emotion has of the effectiveness of advertisements.Research Methods As mentioned above, researchers tend to use Empirical research to find data on the effectiveness of emotion-based advertisements. Empirical research allows researchers to observe the reactions of the advertisements’ audience. There are specific ways to test the effectiveness of emotion in advertisement, and one way is called self-report measurement. These measures have been widely used to measure emotional reactions to advertisements. “Self-report measures register the respondent's subjective feeling. A ‘subjective feeling’ can be defined as the consciously felt experience of emotions as expressed by the individual (Stout and Leckenby, 1986) In general, we distinguish three types of self-report methods that all measure subjective feelings: verbal self-report, visual self-report, and moment-to-moment rating” (Karolien and Siegfried 2006, pg. 19). Verbal self-report has individuals verbally express how they are feeling about the advertisements using open-ended questions. Visual self-report is similar, but individuals are asked to choose how they feel about the advertisement from cartoon-like figures that each expresses a different emotion. Moment-to-moment rating simply has the individual ...
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Twitter Based Sentimental Analysis of Impact of COVID-19 on Economy using Naï...CSCJournals
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INTRODUCTIONIn these modern day competitive business environment.docxnormanibarber20063
INTRODUCTION
In these modern day competitive business environment, every business strives to grow and mostly need to retain their customers to increase organizational growth, development and effective performance. This analysis focuses on using Customer behavior data to improve Customer Retention.
The Churn rate is the number of Customers or subscribers who stop subscribing to a service or company, which means these Customers have “Churned”. Telecommunication companies are concerned about the number of Customers leaving their service. For this reason, they need to understand who is leaving and why they are leaving.
To analyze this, we are provided with data set which includes information about:
Customers who left within the last month – the column is called Churn
Services that each Customer has signed up for – Phone, Multiple lines, Internet, Online Security, Online backup, Device Protection, Tech Support, Streaming TV and Movies.
Customer Account Information – how long they’ve been a Customer, Contract, Payment Method, Paperless billing, Monthly Charges and Total Charges
Demographic Information about Customers – Gender, Age range, if Customers have Partners and Dependents.
ANALYZING DATA THROUGH VISUALIZATION USING WATSON ANALYTICS
1. Most Commonly Used Internet Service.
The Fiber Optics Internet Service is the most used Internet Service by the Customers as shown in the blue bar.
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PREDICTING ELECTION OUTCOME FROM SOCIAL MEDIA DATAkevig
In this era of technology, enormous Online Social Networking Sites (OSNs) have arisen as a medium of expressing any opinions, thoughts towards anything even support their status against any social or political matter at the same time. Nowadays, people connected to those networks are more likely to prefer to employ themselves utilizing these online platforms to exhibit their standings upon any political organizations
participating in the election throughout the whole election period. The aim of this paper is to predict the outcome of the election by engaging the tweets posted on Twitter pertaining to the Australian federal election-2019 held on May 18, 2019. We aggregated two efficacious techniques in order to extract the
information from the tweet data to count a virtual vote for each corresponding political group. The original results of the election closely match the findings of our investigation, published by the Australian Electoral Commission.
PREDICTING ELECTION OUTCOME FROM SOCIAL MEDIA DATAijnlc
In this era of technology, enormous Online Social Networking Sites (OSNs) have arisen as a medium of expressing any opinions, thoughts towards anything even support their status against any social or political matter at the same time. Nowadays, people connected to those networks are more likely to prefer to employ themselves utilizing these online platforms to exhibit their standings upon any political organizations participating in the election throughout the whole election period. The aim of this paper is to predict the outcome of the election by engaging the tweets posted on Twitter pertaining to the Australian federal election-2019 held on May 18, 2019. We aggregated two efficacious techniques in order to extract the information from the tweet data to count a virtual vote for each corresponding political group. The original results of the election closely match the findings of our investigation, published by the Australian Electoral Commission.
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PREDICTING ELECTION OUTCOME FROM SOCIAL MEDIA DATAkevig
In this era of technology, enormous Online Social Networking Sites (OSNs) have arisen as a medium of
expressing any opinions, thoughts towards anything even support their status against any social or
political matter at the same time. Nowadays, people connected to those networks are more likely to prefer
to employ themselves utilizing these online platforms to exhibit their standings upon any political
organizations participating in the election throughout the whole election period. The aim of this paper is to
predict the outcome of the election by engaging the tweets posted on Twitter pertaining to the Australian
federal election-2019 held on May 18, 2019. We aggregated two efficacious techniques in order to extract
the information from the tweet data to count a virtual vote for each corresponding political group. The
original results of the election closely match the findings of our investigation, published by the Australian
Electoral Commission.
PREDICTING ELECTION OUTCOME FROM SOCIAL MEDIA DATAkevig
In this era of technology, enormous Online Social Networking Sites (OSNs) have arisen as a medium of
expressing any opinions, thoughts towards anything even support their status against any social or
political matter at the same time. Nowadays, people connected to those networks are more likely to prefer
to employ themselves utilizing these online platforms to exhibit their standings upon any political
organizations participating in the election throughout the whole election period. The aim of this paper is to
predict the outcome of the election by engaging the tweets posted on Twitter pertaining to the Australian
federal election-2019 held on May 18, 2019. We aggregated two efficacious techniques in order to extract
the information from the tweet data to count a virtual vote for each corresponding political group. The
original results of the election closely match the findings of our investigation, published by the Australian
Electoral Commission.
complementary roles of Traditiona and Social Media.pdfAnjanette Delgado
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INDONESIAN CONSUMER ACCEPTANCE OF CHANGES IN THE CONSTRUCTION OF ADVERTISING ...AJHSSR Journal
ABSTRACT : Digital technology has changed the nature of media and the relationship between media and
consumers. Media content has also undergone changes, one of which is a change in advertising construction.
But this change is not perfectly understood by consumers. This incomprehension and ignorance creates
ineffectiveness of advertising impressions in online media. Online media with social media facilities You Tube
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was reinforced by Stuart Hall's theory of receiving communication messages. The population is Indonesian
consumers, the sample is selected in a purposive manner based on criteria, selecting informants with incidental
techniques from several levels of society. The research data used in-depth interviews and interactive analysis of
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background of the consumer environment. Future studies so that there are media literacy and advertising
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Keywords -Consumer Acceptance, Construction Change, Advertising, Children's Products, You Tube
This document compares the musical industries of Daegu, South Korea and Edinburgh, UK using a triple helix model and webometric analysis. It finds that within Korea, searches for "Edinburgh Musical" attracted more results than "Daegu Musical", indicating Daegu is less established. Internationally, "Edinburgh Musical" also attracted more attention and a more diverse set of domains. While Daegu has grown its musical industry, it has yet to emerge as prominently on the international stage as Edinburgh via the web. For Daegu to maximize its economic and social impact, its musical festival organizers should target a wider range of international websites and domains.
This document compares the musical industries of Daegu, South Korea and Edinburgh, UK using a triple helix model and webometric analysis. It finds that within Korea, searches for "Edinburgh Musical" attracted more results than "Daegu Musical", indicating Daegu is less established. Internationally, "Edinburgh Musical" also attracted more attention and a more diverse set of domains. While Daegu has grown its music industry, it has yet to emerge as prominently on the international stage as Edinburgh via the web. For Daegu to maximize its economic and social impact, its music festival organizers should target a wider range of international websites and domains.
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Protecting elections from social media manipulationscience.sjanekahananbw
Protecting elections from social media manipulation
science.sciencemag.org/content/365/6456/858
Policy ForumScience and Democracy
1. Sinan Aral1,2,3,
2. Dean Eckles1,2
See all authors and affiliations
"ILLUSTRATION: BROBEL
DESIGN"
To what extent are
democratic elections
vulnerable to social
media manipulation? The
fractured state of
research and evidence on
this most important
question facing
democracy is reflected in
the range of
disagreement among
experts. Facebook chief
executive officer Mark
Zuckerberg has repeatedly called on the U.S. government to regulate election manipulation
through social media. But we cannot manage what we do not measure. Without an
organized research agenda that informs policy, democracies will remain vulnerable to
foreign and domestic attacks. Thankfully, social media's effects are, in our view, eminently
measurable. Here, we advocate a research agenda for measuring social media manipulation
of elections, highlight underutilized approaches to rigorous causal inference, and discuss
political, legal, and ethical implications of undertaking such analysis. Consideration of this
research agenda illuminates the need to overcome important trade-offs for public and
corporate policy—for example, between election integrity and privacy. We have promising
research tools, but they have not been applied to election manipulation, mainly because of
a lack of access to data and lack of cooperation from the platforms (driven in part by public
policy and political constraints).
1/11
https://science.sciencemag.org/content/365/6456/858
Two recent studies commissioned by the U.S. Senate Intelligence Committee detail Russian
misinformation campaigns targeting hundreds of millions of U.S. citizens during the 2016
presidential election. The reports highlight, but do not answer, whether social media
manipulation may have influenced the outcome. Some experts argue that Russia-sponsored
content on social media likely did not decide the election because Russian-linked spending
and exposure to fake news (1, 2) were smallscale. Others contend that a combination of
Russian trolls and hacking likely tipped the election for Donald Trump (3). Similar
disagreements exist about the UK referendum on leaving the European Union and recent
elections in Brazil, Sweden, and India.
Such disagreement is understandable, given the distinctive challenges of studying social
media manipulation of elections. For example, unlike the majority of linear television
advertising, social media can be personally targeted; assessing its reach requires analysis of
paid and unpaid media, ranking algorithms and advertising auctions; and causal analysis is
necessary to understand how social media changes opinions and voting.
Luckily, much of the necessary methodology has already been developed. A growing body
of literature illuminates how social media influences behavior. Analysis of misinformation
on Twitter and Facebook (4, 5), and randomized and natural experime ...
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2. 44 Computer Science & Information Technology (CS & IT)
We tried to analysis of music concert itself by performing a prediction of reputation of artists
during the concert tour from this exposure. In this paper,we show that the mathematical model of
the hit phenomenonis also applicable to the prediction reputation of musicians in the (English-
speaking) world, the box office of the concert. Coldplay is a rock band that got the attendance
most in 2012.We analyzed using the data of SNS (TOPSY PRO) the LADYGAGA has gained
followers most Twitter in 2011 and Also from Japan, we analyzed the L'Arc-en-Ciel of rock band
that made the Madison Square Garden concert for the first time in Japanese in 2012. The method
of the study, we were selected from Tourintel the box office of artists to target first. Then we were
compared at the same time ranking of the followers of Twitter. We chose the time and the artists
that target from among them. In addition, we investigated the media exposure of artists that target.
Performs prediction by the mathematical model based on the media exposure, and compared with
the WOM.
2. MATHEMATICAL THEORY FOR HIT PHENOMENA
2.1. Intention of each person for enjoying entertainment
In this model, the communication with friends is considered as direct communication or two-body
interaction. The rumor in societies is considered as indirect communication or three-body
interaction. In this model, we define the intention for person "i" in the society to entertainment
activities as . the model can describe the intention of each person for enjoying entertainment
as the equation of the intention of person i with two-body interaction and three-body interaction
terms.
According to the Ref. 1, we write down the equation of the intention at the individual level as
(1)
where dij, hijk, and fi(t) are the coefficient of the direct communication, the coefficient of the
indirect communication, and the random effect for person i, respectively. We consider the above
equation for every person in the society so that i = 1, Np where is the effective population of
the society for a certain entertainment. The advertisement and publicity effect for each person can
be described as the random effect fi(t).
Eq. (1) is the equation for all individual persons, but it is not convenient for analysis. Thus, we
consider here the ensemble average of the intention of individual persons as follows:
(2)
Taking the ensemble average of Eq. (1), we obtain for the left-hand side:
(3)
For the right-hand side, the ensemble average of the first, second, and third is as follows:
3. Computer Science & Information Technology (CS & IT) 45
(4)
(5)
(6)
where we assume that the coefficient of the direct and indirect communications can be
approximated to be under the ensemble average.
For the fourth term of Eq. (1), the random effect term, we consider that the random effect can be
divided into two parts: the collective effect and the individual effect:
(7)
where means the deviation of the individual external effects from the collective effect,
. Thus, we consider here that the collective external effect term corresponds to
advertisements and publicity to persons in the society. The deviation term corresponds to
the deviation effect from the collective advertisement and publicity effect for individual persons,
which we can assume to be
(8)
Therefore, we obtain the equation for the ensemble-averaged intention to entertainment in the
following manner as shown in Ref.1:
(9)
Eq. (10) can be applied to the intention in the real entertainment market. For the calculations of
box office
movie in Ref.1, Eq. (10) should be solved in the way of Ref. 1 that the watched persons and
unwatched persons are treated separately. For the examples of this paper, such effect can be
neglected. In this paper, we have the media exposure of the daily value of the input. Therefore,
we did not adapt this time the expression of decay, such as adapted to the hit phenomenon in the
box office.
4. 46 Computer Science & Information Technology (CS & IT)
2.2. Concerts and Advertisement
We were with the advertising costs for input in mathematical models of the past.But this
time, we adapted the following equation because you are media exposure of the daily
input.Concerts and Advertisement are the very important factor to increase the intention of each
person for enjoying entertainment. Concerts and Advertisement are done at Concerts Hall, Live
House, TV, newspaper and other media. We consider the advertisement effect as an external force
term A(t) to the intention as follows,
(10)
where Dij is the factor for the direct communication and Pijk is the factor for the indirect
communication. The factor Cadv corresponds to the strength of the impression of the media or
Concerts exposure for each advertising campaign. Because of the term of the indirect
communication, this equation is a nonlinear equation. If we consider Concerts and Advertisement,
we can solve the equation by including several effect of the advertisement in the following way,
(11)
where each coefficient Ci corresponds to the each advertisement and Concert's counts and can be
determined by using the random number technique introduced in Ref. [1]. The actual formula
used in the calculation to analyse the SNS response are introduced in detail in Ref.[1].
3. RESULTS
3.1 Box Office Concerts
Here, we show the results for box office concerts of Coldplay [21]. In figure 1,2, we show the
daily number of Event(Concert), the ticket sold and the words of mouth (WOM) for Coldplay in
2012. We measured the number of write topic of Twitter and blog about artists using the
Topsy[22]. And we used the value tour box office costs through Box office score data of
(attendance)[20]. The result show us that the daily number of WOM seems to be influenced by
the event of each days. For the ticket sold, we found a kind of threshold or switch-on at the day of
the first high peak of WOM. Thus, the daily ticket sold data shows correlation with daily WOM
data, though the correlation is not perfect like the box office business for motion picture shown in
Ref.3. In particular, there is a correlation with the WOM data rate rise and peak of the sales of the
daily ticket sold data. 2012/05/05, The 20th Annual KROQ Weenie Roast Y Fiesta broadcasted
live from Webcast. Becausef this ticket for the concert sold out.And Coldplay performed to
tribute to Beastie Boy Adam Yauch at this concert. Thus, WOM data on this day would have
shown a significant peak.[21-26]
5. Computer Science & Information Technology (CS & IT) 47
Figure 1. The number of Concerts and TV and
News for Coldplay [22-24].
Figure 2. Observed ticket sold, WOM and the number of Concerts and TV and
News for Coldplay, got the attendance most in 2012[20,22].
Figure 3. The calculation and the observed data for Coldplay, the British rock band.
6. 48 Computer Science & Information Technology (CS & IT)
Figure 4. The calculation and the observed data for Coldplay, the British rock band. The line means the
observed number of daily posting of WOM(Twitter)/100(Green) and Calculate(Blue).
Using Eq. (10) with the daily number of event of the Coldplay as the influence of the
advertisement effect <f(t)>, we obtain the following result in Figure 2. We found in Figure 2 that
our calculation of the intention to entertainment for Coldplay shows very well agreement with the
real observed WOM.
3.2 Similar Calculation
The similar calculations are showed in Figure.5 and 6 for LADY GAGA and L'Arc-en-
Ciel,respectively. LADY GAGA is the very famous and popular female singer.[27,28] L'Arc-en-
Ciel is a Japanese rock band that was founded in 1991 in Osaka. [29]We thought worthy as the
target period for measuring the topic of LADY GAGA the world because there was a chance of
TV appearances. In other words, We're easy to collect quantitatively the WOM data generated in
the TV appearances and concerts LADYGAGA around the world by choosing this time. In
addition, in May 2011, the number of Twitter followers has become the world is LADYGAGA,
the number was more than 11 million people. [31]
From this point of view, LADYGAGA of May 2011 was a case suitable to analyze and predict
the reputation around the world for artists. In Figure. 5, we conducted a measurement of L'Arc-
en-Ciel to have succeeded the Madison Square Garden concert for the first time in the Japanese
performed in parallel overseas tour and domestic tour in 2012.
Figure 5. LADY GAGA Result of calculation
7. Computer Science & Information Technology (CS & IT) 49
Figure 6. L’Arc-en-Ciel Result of calculation
4. DISCUSSION
Figure 7. Coldplay Result of monthly calculation
Table I
Table of parameters for the Coldplay. Cadv is the strength of the advertisement; a is the decline factor of
the advertisement; Dnn is the direct communication factor; Pnn is the indirect communication factor.
Cadv 47.20
a 21.12 (1/day)
NpDnn 0.00050 (1/day)
Np2Pnn 0.00050 (1/day)
From Figures 1-6 and Table I,II we found that our simulation can reproduce the daily and
monthly counts of tickets sold to music concerts. In other words, the simulation can reproduce the
same counts of reputation ofthe artists [43,44].
8. 50 Computer Science & Information Technology (CS & IT)
Table II
Table of parameters for the Coldplay. Cadv is the strength of the advertisement; a is the decline factor of
the advertisement; Dnn is the direct communication factor; Pnn is the indirect communication factor.
Cadv 15.95
a 14.91 (1/month)
NpDnn 0.0000748 (1/month)
Np2Pnn 0.0000128 (1/month)
As we found in the figures and tabeles our calculations using Eq. (10) agree very well with the
observed daily WOM data. Therefore, we can consider that the mathematical model for hit
phenomena using Eq. (10) can be applied also for the music entertainment. [1-3].
5. CONCLUSION
We apply the mathematical theory for revenue prediction of music concerts using the
mathematical Model of hit phenomena and The calculation using our mathematical model for hit
phenomena presents the intention to entertainment in the society. Residual problem is the
difference in the nature of the fan in the WOM data. For example, there will be regional
differences and differences in the climax of the topic to be born from the feature of the SNS. We
also are required analysis and quantified by the extension of this method as well as the
relationship of the media reaction and the nature of the fan is generated. And we must verify the
proposed method is valid from the correlation with CD sales and concert tickets with WOM data
and reputation in the world of artists in the region. Thus, we will require more consideration to
this matter. The outlook for the future, we want to measure the mathematical model of trends in
relation to the concert artists and advertising in real time actually. It is expected to target the
artists active in Japan and Asia actually.
ACKNOWLEDGEMENTS
The authors would like to thank CEO Uchiyama Kouki of Hotlink, CEO Koguchi Hidehiko of
Perspective Media , Theatre TinkerBell for giving them Database and helpful discussions. Great
creaters who have supported the motivation of this study, We also thank versity KANSEI center
for Arts and Science, ADAA (Asia Digital Arts Awards ) which gives the best environment to do
their studies in particular, to carry out development activities creativity of Asia. In adidition , it is
enormously grateful family and friends and Genda Lab. Members , also ancestors who have
supported much emotional support. Y.Kawahata also thanks the Japan Student Services
Organization for the scholarship.
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