Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: How the Avengers assemble: Ecological modelling of effective cast sizes
  for movies   The number of characters in a movie is an interesting feature. However, it is
non-trivial to measure directly. Naive metrics such as the number of credited
characters vary wildly. Here, we show that a metric based on the notion of
"ecological diversity" as expressed through a Shannon-entropy based metric can
characterise the number of characters in a movie, and is useful in taxonomic
classification. We also show how the metric can be generalised using
Jensen-Shannon divergence to provide a measure of the similarity of characters
appearing in different movies, for instance of use in recommender systems,
e.g., Netflix. We apply our measures to the Marvel Cinematic Universe (MCU),
and show what they teach us about this highly successful franchise of movies.
In particular, these measures provide a useful predictor of "success" for films
in the MCU, as well as a natural means to understand the relationships between
the stories in the overall film arc.

29
The categories of this paper are: funct-an
26
The categories of this paper are: bayes-an
30
The categories of this paper are: q-alg
22
The categories of this paper are: chao-dyn
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
7
The categories of this paper are: hep-th
15
The categories of this paper are: nucl-ex
12
The categories of this paper are: nucl-th
36
The categories of this paper are: cmp-lg
16
The categories of this paper are: stat
24
The categories of this paper are: dg-ga
23
The categories of this paper are: solv-int
20
The categories of this paper are: acc-phys
35
The categories of this paper are: mtrl-th
27
The categories of this paper are: comp-gas