Motivational 3/16

“True Popular” as Research

The Science Of “Popular" Defined

The term "popular" can have different meanings depending on the context. In general, however, it refers to something that is widely liked or enjoyed by a large group of people. When we talk about the "science of popular", we are typically referring to the study of why certain things become popular and how they spread through soci- ety. This can include the study of cultural trends, social networks, marketing strategies, and other factors that influence the popularity of different products, ideas, or cultural phenomena.

One important aspect of the science of popular is understanding the psychology of human behavior and how it relates to decision making. For example, re- searchers might study why people are more likely to buy products that are en- dorsed by celebrities, or why certain songs become hits while others do not. Another important area of study within the science of popular is social influence and the role of social networks in spreading ideas and products. Researchers might study how ideas or trends spread through social media platforms, or how certain communities or subcultures influence broader cultural trends.

Overall, the science of popular is a multidisciplinary field we call POPOLOGY® that draws on insights from psychology, sociology, marketing, and other disci- plines to understand why certain things become popular and how they shape our culture.

Can "popular" be used in singularity? Yes, the term "popular" can be used in the singular form to refer to a specific thing or person that is widely liked or enjoyed by a large group of people. For example, you might say "The Beatles were a popular band in the 1960s" or "Piz- za is a popular food in many parts of the world." In both of these cases, "popu- lar" is being used to describe a singular noun (i.e. the Beatles or pizza) that is well-liked by many people. Additionally and not often considered, the term "popular" can be used in a sin- gular context to describe something that is widely liked or commonly done by an individual. Here are a few examples:

"It's popular for me to listen to music while I work."
"My most popular hobby is gardening."
"I find it's very popular to exercise in the morning before work."
"One of my most popular habits is to read before bed."

• "It's popular for me to take a walk after dinner." In each of these cases, "popular" is being used to describe a specific behavior or habit that is common or well-liked by the individual. While the term is more commonly used in reference to larger cultural phenomena, it can certainly be used in a singular context as well. How is “true popular’ measurements / metrics achieved? Measuring "true popularity" is a complex task, as popularity can be influenced by many different factors and can be measured in a variety of ways. There is no single metric or method for measuring true popularity, and different organiza- tions and individuals may use different approaches depending on their goals and priorities. One common way to measure popularity is through surveys or polls that ask people about their attitudes or behaviors. For example, a polling organization might conduct a survey to ask people about their favorite television shows or music artists, and use the results to create a ranking of the most popular pro- grams or musicians.

Another approach to measuring popularity is through social media metrics, such as the number of followers or likes on a particular platform. For example, a celebrity's popularity might be measured by their number of Instagram followers or Twitter mentions. In some cases, popularity might also be measured by sales or revenue data, such as the number of tickets sold for a particular movie or the amount of mon- ey generated by a particular product. Ultimately, the best way to measure true popularity will depend on the specific context and goals of the measurement. It's important to keep in mind that “popular” can be influenced by many different factors, including cultural trends, mar- keting strategies, and personal preferences, and that no single metric or method can capture all of these factors. POPOLOGY® considered all of these factors while maintaining expansion for new approaches as well.

Can blockchain measure all of the above metrics in a platform that aggre- gates all user / consumer data, and pair with a video meta-search engine? While blockchain technology has the potential to provide a secure and decen- tralized platform for tracking and managing data, it is unlikely to be able to mea- sure all of the metrics associated with popularity in a comprehensive way. As mentioned earlier, popularity can be influenced by many different factors, in- cluding surveys or polls, social media metrics, and sales or revenue data. While blockchain could potentially be used to store and manage this data in a secure and transparent way, it would still require input from external sources to collect and analyze the data in the first place.

A blockchain platform could be used to create a decentralized data marketplace where users could securely sell or share their data with other organizations or individuals. This could potentially include data on consumer preferences or be- havior, which could be used to measure popularity in certain contexts. However, the accuracy and reliability of this data would depend on the quality of the data collection and analysis methods used by the organizations or individuals in- volved.

In terms of a video meta-search engine, blockchain could potentially be used to create a decentralized platform for sharing and accessing video content. This could include features like smart contracts that allow creators to securely license their content and receive payments directly from consumers. However, it would still require external data sources to track metrics like views or engagement, which could be used to measure popularity. Overall, while the POPOLOGY® blockchain technology has the potential to pro- vide a secure and transparent platform for managing and sharing data, it is un- likely to be able to measure all of the metrics associated with popularity on its own. POPOLOGY® additionally inputs from numerous external sources paired with reliable data collection services and analysis methods to provide accurate and meaningful insights.

Here are ten external sources that POPOLOGY® uses to track and measure "true popularity" across different contexts: 1. Nielsen Ratings - a well-known provider of media and consumer data that offers ratings and insights on television programming, movies, and other forms of media. 2. Billboard Charts - a trusted source for measuring the popularity of music across different genres and formats. 3. Google Trends - a tool that allows users to track and compare search terms and topics across different regions and time periods. 4. IMDb - a database of information on movies, television shows, and other forms of entertainment that includes ratings, reviews, and user data. 5. Pew Research Center - a nonpartisan think tank that conducts re- search and surveys on a wide range of social and cultural issues. 6. Twitter Analytics - a platform that provides data and insights on Twitter activity, including metrics like engagement, followers, and impressions. 7. YouTube Analytics - a tool that provides creators with insights on their video content, including views, engagement, and audience demographics. 8. Instagram Insights - a platform that provides users with data and analytics on their Instagram content, including engagement, reach, and audi- ence demographics. 9. Amazon Sales Data - a source of information on product sales and customer behavior on the popular e-commerce platform.

10. App Store Analytics - a tool that allows developers to track and analyze data on app usage and downloads across different platforms and regions.

To pull data from these metrics services, POPOLOGY® follows these general steps: 1. Identify the metrics service to use and sign up for an account if necessary. 2. Determine the type of data wanted to extract and the API (Applica- tion Programming Interface) that the service provides. Most metrics services have APIs that allow developers to access data programmatically. 3. We obtain an API key or authorization token, if required by the met- rics service. 4. Source our preferred programming language (C++) and a library (MongoDB) that handles HTTP requests and API responses. Popular libraries in- clude Requests for Python, Axios for JavaScript, and Alamofire for Swift. 5. We write code that sends requests to the metrics service API, spec- ifying the parameters you want to retrieve data for, such as date range, geo- graphic location, and data type. 6. Then we process the API response data into a format that you can use in your analysis or visualization. Sometimes we may need to filter, transform, or aggregate the data to suit desired needs. 7. We store the data in a local database or a cloud-based service for further analysis or visualization. Note that the specific steps and code required vary depending on the metrics service and the programming language used. Also, some metrics services may have restrictions on the amount and frequency of API requests we can make, so we follow best practices to avoid being rate-limited or banned.

“True popular” metrics of POPOLOGY® can be used for a variety of purposes, depending on the specific context and goals of the measurement. Here are a few examples: 1. Business and Marketing - Businesses can use metrics like sales, customer engagement, and social media data to better understand consumer preferences and behavior. This can help companies develop more effective mar- keting strategies and improve their products or services. 2. Entertainment - Metrics like box office sales, television ratings, and social media engagement can be used to measure the popularity of movies, television shows, and other forms of entertainment. This can help studios and networks make decisions about programming and investment. 3. Politics - Polls and surveys can be used to gauge public opinion on a range of political issues and candidates. This can help campaigns develop targeted messaging and outreach strategies.

4. Social Science Research - Researchers can use popularity metrics to better understand cultural trends, attitudes, and behaviors across different populations. This can help inform social science theories and models.

5. Personal Use - Individuals may use popularity metrics to make de- cisions about their own interests, such as choosing which products to buy or which movies to watch. Overall, true popular metrics can be a useful tool for measuring and under- standing consumer behavior, cultural trends, and public opinion across a variety of contexts. By tracking these metrics, individuals and organizations can make more informed decisions and better understand the world around them.

There are some analytics platforms that we can offer integration with multiple metrics services, allowing you (our platform users) to consolidate data from vari- ous sources into one place. These platforms often provide tools for data analy- sis, visualization, and reporting. Here are a few examples we aggregate: 1. Supermetrics: Supermetrics is a data analytics and reporting plat- form that integrates with over 50 marketing and analytics platforms, including Google Analytics, Facebook Ads, Instagram, Twitter, and LinkedIn. It allows you to combine data from multiple sources, create custom reports and dashboards, and automate data workflows. 2. Klipfolio: Klipfolio is a cloud-based business intelligence platform that connects to over 100 data sources, including Nielsen, Google Trends, and Pew Research Center. It offers pre-built data connectors and custom data inte- grations, as well as a suite of data visualization and dashboarding tools. 3. Databox: Databox is a business analytics platform that integrates with over 70 data sources, including Google Analytics, Facebook, Instagram, YouTube, and Amazon. It allows you to track key performance metrics across different channels, create custom dashboards and alerts, and collaborate with team members. 4. Tableau: Tableau is a data visualization and business intelligence platform that supports over 80 data connectors, including Nielsen, Google Trends, and IMDb. It allows you to connect to multiple data sources, blend and clean data, and create interactive dashboards and reports.

While these platforms can be a great option for consolidating data from multiple metrics services, they do require some setup and configuration to get started. You may also need to pay for a subscription or license to use these platforms, depending on your needs and usage requirements.