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This paper aims to analyze 29 articles of Google written from 2022 to 2023 regarding Christopher Nolan’s Oppenheimer. A point to note is that the 7-word sentence was the most frequently used, followed by the 6-word sentence, the 5-word sentence, and the 4-word sentence. A further point to note is that in the word cloud, the word Oppenheimer was the most pivotal in 29 articles, followed by the name Nolan, the word film, and the word bomb, in descending order. A major point of this paper is that topic 16 was the most widely used, followed by topic 1, topic 11, and topic 2, in that order. With respect to 18 topics, it is worthwhile noting that the keyword Oppenheimer is linked to ten topics, thus counting as the most pivotal. When it comes to the frequency of pivotal words, the keyword Oppenheimer was the most frequently used, followed the keyword film, the keyword Nolan, and the keyword bomb, in descending order. Finally, this paper argues that block modelling makes networks much more simple and easier by abbreviating them and grouping them.
Oppenheimer, Nolan, big data, NetMiner, topic, keyword, block modeling
Oppenheimer, Nolan, big data, NetMiner, topic, keyword, block modeling
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 11 | |
| downloads | 5 |

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