• Corpus ID: 238226565

Asimov's Foundation -- turning a data story into an NFT artwork

@inproceedings{Janosov2021AsimovsF,
  title={Asimov's Foundation -- turning a data story into an NFT artwork},
  author={Mil{\'a}n Janosov and Fl'ora Borsi},
  year={2021}
}
In this piece, we overview Isaac Asimov’s most iconic work, the Foundation series, with two primary goals: to provide quantitative insights about the novels and bridge data science with digital art. First, we rely on data science and text processing tools to describe certain properties of Asimov’s career and the novels, focusing on the different worlds in Asimov’s universe. Then we transform the books’ texts into a network centered around Asimov’s planets and their semantic context. Finally, we… 

Figures and Tables from this paper

A Network Map of The Witcher

TheWitcher, a fantasy novel series by Andrzej Sapkowski, has inspiredmultiple computer games andwas even launchedonNetflix in 2019,with the latest seasonairing inDecember 2021. Fictional storylines

References

SHOWING 1-10 OF 15 REFERENCES

The emotional arcs of stories are dominated by six basic shapes

TLDR
This work classifies the emotional arcs for a filtered subset of 1,327 stories from Project Gutenberg’s fiction collection and finds a set of six core emotional arcs which form the essential building blocks of complex emotional trajectories.

Language Models are Few-Shot Learners

TLDR
GPT-3 achieves strong performance on many NLP datasets, including translation, question-answering, and cloze tasks, as well as several tasks that require on-the-fly reasoning or domain adaptation, such as unscrambling words, using a novel word in a sentence, or performing 3-digit arithmetic.

Success in books: a big data approach to bestsellers

TLDR
There is a universal pattern to book sales and a statistical model is introduced to explain the time evolution of sales that reproduces the entire sales trajectory of a book but also predicts the total number of copies it will sell in its lifetime, based on its early sales numbers.

Word Cloud Explorer: Text Analytics Based on Word Clouds

TLDR
This work developed a prototypical system called the Word Cloud Explorer that relies entirely on word clouds as a visualization method and shows how this approach can be effectively used to solve text analysis tasks and evaluated in a qualitative user study.

Success and luck in creative careers

TLDR
It is suggested that luck consistently affects career impact across all considered sectors and improves the understanding in pinpointing the key elements in driving success.

Quantitative Analysis of Culture Using Millions of Digitized Books

TLDR
This work surveys the vast terrain of ‘culturomics,’ focusing on linguistic and cultural phenomena that were reflected in the English language between 1800 and 2000, and shows how this approach can provide insights about fields as diverse as lexicography, the evolution of grammar, collective memory, the adoption of technology and the pursuit of fame.

Statistical mechanics of complex networks

TLDR
A simple model based on these two principles was able to reproduce the power-law degree distribution of real networks, indicating a heterogeneous topology in which the majority of the nodes have a small degree, but there is a significant fraction of highly connected nodes that play an important role in the connectivity of the network.

Social Science

TLDR
This year's programme for the meeting of the British Association has shown that in many ways the isolation of the scientific worker is breaking down and to an increasing extent he is considering the relation between his work and the society in which he finds himself.

The Geography of Happiness: Connecting Twitter Sentiment and Expression, Demographics, and Objective Characteristics of Place

TLDR
The results show how social media may potentially be used to estimate real-time levels and changes in population-scale measures such as obesity rates.

Mapping the NFT revolution: market trends, trade networks, and visual features

TLDR
This work analyzes data concerning 6.1 million trades of 4.7 million NFTs between June 23, 2017 and April 27, 2021 and finds that sale history and, secondarily, visual features are good predictors for price.