Evolutionary Dynamics of Cultural Memes and Application to Massive Movie Data
March 06, 2019 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Seungkyu Shin, Juyong Park
arXiv ID
1903.02197
Category
physics.soc-ph
Cross-listed
cs.SI
Citations
2
Venue
arXiv.org
Last Checked
4 months ago
Abstract
The profound impact of Darwin's theory of evolution on biology has led to the acceptance of the theory in many complex systems that lie well beyond its original domain. Culture is one example that also exhibits key Darwinian evolutionary properties: Differential adoption of cultural variants (variation and selection), new entities imitating older ones (inheritance), and convergence toward the most suitable state (adaptation). In this work we present a framework for capturing the details of the evolutionary dynamics in cultural systems on the "meme"- the cultural analog of the biological gene-level, and analyze large-scale, comprehensive movie-meme association data to construct a timeline of the history of cinema via the evolution of genres and the rise and fall of prominent sub-genres. We also identify the impactful movies that were harbingers to popular memes that we may say correspond to the proverbial "Eve" of the human race, shining light on the process by which certain genres form and grow. Finally, we measure how the impact of movies correlates with the experts' and the public's assessment.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β physics.soc-ph
π
π
The Cartographer
R.I.P.
π»
Ghosted
Networks beyond pairwise interactions: structure and dynamics
R.I.P.
π»
Ghosted
Statistical physics of human cooperation
R.I.P.
π»
Ghosted
Vital nodes identification in complex networks
R.I.P.
π»
Ghosted
Influence maximization in complex networks through optimal percolation
R.I.P.
π»
Ghosted
Scale-free networks are rare
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted