Decoding the Popularity of TV Series: A Network Analysis Perspective: Methods

:::info Author: (1) Melody Yu, Sage Hill School, California, USA. ::: Table of Links Abstract and Introduction Dataset Methods Results Discussion Conclusion, References, and Appendix III. METHODS We seek to establish a relationship between IMDb ratings and network indicators for a given TV series. Each temporal graph corresponds to ten scenes from an episode, whereas … Read more

Comparison of Machine Learning Methods: Conclusions and Future Work, and References

:::info Authors: (1) Busra Tabak [0000 −0001 −7460 −3689], Bogazici University, Turkey {busra.tabak@boun.edu.tr}; (2) Fatma Basak Aydemir [0000 −0003 −3833 −3997], Bogazici University, Turkey {basak.aydemir@boun.edu.tr}. ::: Table of Links Abstract and Introduction Background Approach Experiments and Results Discussion and Qualitative Analysis Related Work Conclusions and Future Work, and References 7 Conclusions and Future Work This … Read more

Comparison of Machine Learning Methods: Background

:::info Authors: (1) Busra Tabak [0000 −0001 −7460 −3689], Bogazici University, Turkey {busra.tabak@boun.edu.tr}; (2) Fatma Basak Aydemir [0000 −0003 −3833 −3997], Bogazici University, Turkey {basak.aydemir@boun.edu.tr}. ::: Table of Links Abstract and Introduction Background Approach Experiments and Results Discussion and Qualitative Analysis Related Work Conclusions and Future Work, and References 2 Background To understand our approach, … Read more

Decoding the Popularity of TV Series: A Network Analysis Perspective: Dataset

:::info Author: (1) Melody Yu, Sage Hill School, California, USA. ::: Table of Links Abstract and Introduction Dataset Methods Results Discussion Conclusion, References, and Appendix DATASET Our dataset is composed of character networks created by Bost. et. al. 2016 from three popular TV series. To capture a dynamic view of the character interactions, every episode’s … Read more

Decoding the Popularity of TV Series: A Network Analysis Perspective: Abstract and Introduction

:::info Author: (1) Melody Yu, Sage Hill School, California, USA. ::: Table of Links Abstract and Introduction Dataset Methods Results Discussion Conclusion, References, and Appendix Abstract—In this paper, we analyze the character networks extracted from three popular television series and explore the relationship between a TV show episode’s character network metrics and its review from … Read more

Comparison of Machine Learning Methods: Abstract and Introduction

:::info Authors: (1) Busra Tabak [0000 −0001 −7460 −3689], Bogazici University, Turkey {busra.tabak@boun.edu.tr}; (2) Fatma Basak Aydemir [0000 −0003 −3833 −3997], Bogazici University, Turkey {basak.aydemir@boun.edu.tr}. ::: Table of Links Abstract and Introduction Background Approach Experiments and Results Discussion and Qualitative Analysis Related Work Conclusions and Future Work, and References Abstract Software issues contain units of … Read more

Decoding the Popularity of TV Series: A Network Analysis Perspective: Discussion

:::info Author: (1) Melody Yu, Sage Hill School, California, USA. ::: Table of Links Abstract and Introduction Dataset Methods Results Discussion Conclusion, References, and Appendix DISCUSSION The results of our research suggest that different character network structures may have different impacts on the quality of TV episodes. For example, the negative correlation between the number … Read more

Comparison of Machine Learning Methods: Experiments and Results

:::info Authors: (1) Busra Tabak [0000 −0001 −7460 −3689], Bogazici University, Turkey {busra.tabak@boun.edu.tr}; (2) Fatma Basak Aydemir [0000 −0003 −3833 −3997], Bogazici University, Turkey {basak.aydemir@boun.edu.tr}. ::: Table of Links Abstract and Introduction Background Approach Experiments and Results Discussion and Qualitative Analysis Related Work Conclusions and Future Work, and References 4 Experiments and Results This section … Read more

Comparison of Machine Learning Methods: Related Work

:::info Authors: (1) Busra Tabak [0000 −0001 −7460 −3689], Bogazici University, Turkey {busra.tabak@boun.edu.tr}; (2) Fatma Basak Aydemir [0000 −0003 −3833 −3997], Bogazici University, Turkey {basak.aydemir@boun.edu.tr}. ::: Table of Links Abstract and Introduction Background Approach Experiments and Results Discussion and Qualitative Analysis Related Work Conclusions and Future Work, and References 6 Related Work Several studies in … Read more

Comparison of Machine Learning Methods: Discussion and Qualitative Analysis

:::info Authors: (1) Busra Tabak [0000 −0001 −7460 −3689], Bogazici University, Turkey {busra.tabak@boun.edu.tr}; (2) Fatma Basak Aydemir [0000 −0003 −3833 −3997], Bogazici University, Turkey {basak.aydemir@boun.edu.tr}. ::: Table of Links Abstract and Introduction Background Approach Experiments and Results Discussion and Qualitative Analysis Related Work Conclusions and Future Work, and References 5 Discussion and Qualitative Analysis In … Read more

Decoding the Popularity of TV Series: Conclusion, References, and Appendix

:::info Author: (1) Melody Yu, Sage Hill School, California, USA. ::: Table of Links Abstract and Introduction Dataset Methods Results Discussion Conclusion, References, and Appendix CONCLUSION This research aims to investigate the potential relationship between character interactions in an episode of a TV series and the review of that episode. We hypothesize that certain features … Read more

From Shelves to Screens: Is Omnichannel eCommerce Transforming Inventory Management?

Omnichannel eCommerce is a retail strategy that can provide invaluable optimization techniques and insights for businesses to improve the experience offered to customers. Crucially, it can also unify different channels to deliver unprecedented levels of control over inventory management. The continued emergence of the cloud and Internet of Things (IoT) technology means that stores can … Read more

Educational Byte: What are Pythagorean Perpetual Futures?

For several reasons, it’s not always convenient to deal with an asset directly but to trade with a “synthetic version” of it. That’s how stablecoins came to life: they represent underlying assets, often with the same value, but they’re not that asset itself. Futures and perpetual futures contracts in the finance world are very similar, … Read more

The Rise of Blockchain-based Video Streaming: Exclusive Interview With Replay CEO Michael Jelen

The video streaming landscape is now at a crossroads. Traditional platforms continue to play by their own rules and palpable concerns linger about transparency and creator compensation.  However, with blockchain technology offering a revolutionary approach to streaming and promising a fairer and more equitable video economy, does the future of traditional video streaming hang in … Read more

Asic Marketplace Celebrates 3 Remarkable Years Of Excellence In The Mining Industry

HONG KONG, HongKong, July 4th, 2024/Chainwire/–ASIC MARKETPLACE is celebrating 3 remarkable years of leading the industry as the most reliable Asic sourcing platform, serving robust ASIC Miners across the world, marking phenomenal achievement and growth in the mining landscape.  ASIC marketplace has been in the industry since 2021, where it has performed as a pioneer … Read more

Zebu Live 2024: The UK’s Premier Web3 Conference Returns With Steven Bartlett, Coinbase, Solana, etc

LONDON, UK, July 4th, 2024/Chainwire/–The highly anticipated Zebu Live, the UK’s largest Web3 conference, is returning 10th-11th October 2024. Organized by Flight3, a renowned Web3 marketing agency owned by Dragons’ Den star Steven Bartlett, this year’s event promises to be an unparalleled experience, featuring industry giants like Coinbase, Solana, and Blockchain.com. Attendees can look forward … Read more

Venom Expands Into India With Dual Listings On WazirX And CoinDCX

GLOBAL, Global, July 4th, 2024/Chainwire/–Venom Foundation is pleased to announce a major milestone in its global expansion strategy: the listing of its native token, $VENOM, on two of India’s leading cryptocurrency exchanges, WazirX and CoinDCX. This pivotal move grants Venom access to a massive user base in the world’s most populous country, further driving the … Read more

Is OpenAI Stealing Your Content?

The number of organizations accusing OpenAI of stealing their work continues to grow like extra patties on a burger, with a prominent news organization now joining the fray with its own set of claims against the Microsoft-backed artificial intelligence startup. In a lawsuit filed against OpenAI, the Center for Investigative Reporting, the oldest nonprofit newsroom … Read more

The Noonification: At the Forefront of AI Research: Multimodality, Agents, Open-Source LLM, and Beyond (7/4/2024)

How are you, hacker? 🪐What’s happening in tech this week: The Noonification by HackerNoon has got you covered with fresh content from our top 5 stories of the day, every day at noon your local time! Set email preference here. ## At the Forefront of AI Research: Multimodality, Agents, Open-Source LLM, and Beyond By @viceasytiger … Read more

Your Ideal Coworker: How To Develop an Innovative Product With a Help of Generative AI

Generative AI (GenAI) is quickly becoming our everyday teammate, helping out behind the scenes in ways we might not even realize. In 2023, a McKinsey survey revealed that one-third of organizations actively use it in at least one business area, such as sales or accounting. But the most significant potential for business lies in software … Read more

What Does the Future of Video Streaming Look Like?

A recent study conducted by SFJESGS found out that “traditional streaming services have disrupted traditional broadcast television by providing a more personalized, on-demand, and flexible viewing experience. The study also found out that they changed how content is created, distributed, and consumed”. However, it is intriguing to note that within a short window of time, … Read more

Cyber Scum Are Free To Exploit Vulnerabilities Without Fear

It’s absolutely infuriating how cybercriminals get away with their heinous actions with little to no consequences! We’re living in a digital age where everything—from our most personal information to critical national security data—is stored online, and yet these cyber scum are free to exploit these vulnerabilities without fear. It’s like our legal and regulatory frameworks … Read more

Build Your Own RAG App: A Step-by-Step Guide to Setup LLM locally using Ollama, Python, and ChromaDB

In an era where data privacy is paramount, setting up your own local language model (LLM) provides a crucial solution for companies and individuals alike. This tutorial is designed to guide you through the process of creating a custom chatbot using Ollama, Python 3, and ChromaDB, all hosted locally on your system. Here are the … Read more

Building the Foundation: The Benefits of Early Software Engineering Education

:::info Authors: (1) Joseph Latessa, Department of Computer Science Wayne State University, Detroit MI USA (jlatessa@wayne.edu); (2) Aadi Huria, Senior, Salem High School Canton, MI USA (huria.aadi@gmail.com); (3) Deepak Raju, Senior, Salem High School, Canton MI USA (Deepak.Raju294@outlook.com). ::: Table of Links Abstract and Introduction Related Work Project Prerequisites Project Implementation Insight and Reflections Conclusions, … Read more

Scaling and Adapting Automated Testing for Broader Educational Impact

:::info Authors: (1) Joseph Latessa, Department of Computer Science Wayne State University, Detroit MI USA (jlatessa@wayne.edu); (2) Aadi Huria, Senior, Salem High School Canton, MI USA (huria.aadi@gmail.com); (3) Deepak Raju, Senior, Salem High School, Canton MI USA (Deepak.Raju294@outlook.com). ::: Table of Links Abstract and Introduction Related Work Project Prerequisites Project Implementation Insight and Reflections Conclusions, … Read more

Teaching High School Students Software Engineering: Project Implementation

:::info Authors: (1) Joseph Latessa, Department of Computer Science Wayne State University, Detroit MI USA (jlatessa@wayne.edu); (2) Aadi Huria, Senior, Salem High School Canton, MI USA (huria.aadi@gmail.com); (3) Deepak Raju, Senior, Salem High School, Canton MI USA (Deepak.Raju294@outlook.com). ::: Table of Links Abstract and Introduction Related Work Project Prerequisites Project Implementation Insight and Reflections Conclusions, … Read more

Teaching High School Students Software Engineering: Prerequisites

:::info Authors: (1) Joseph Latessa, Department of Computer Science Wayne State University, Detroit MI USA (jlatessa@wayne.edu); (2) Aadi Huria, Senior, Salem High School Canton, MI USA (huria.aadi@gmail.com); (3) Deepak Raju, Senior, Salem High School, Canton MI USA (Deepak.Raju294@outlook.com). ::: Table of Links Abstract and Introduction Related Work Project Prerequisites Project Implementation Insight and Reflections Conclusions, … Read more