Modeling the Interaction Networks about the Climate Change on Twitter: A Characterization of its Network Structure
This work studies the interaction networks (replying, retweeting, and quoting) that arise on Twitter in relation to such a relevant topic as climate change. We detected that the largest connected component of these networks presents low values of average degree and betweenness, as well as a small di...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2022/8924468 |
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| _version_ | 1832558342588858368 |
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| author | Mary Luz Mouronte-López Marta Subirán |
| author_facet | Mary Luz Mouronte-López Marta Subirán |
| author_sort | Mary Luz Mouronte-López |
| collection | DOAJ |
| description | This work studies the interaction networks (replying, retweeting, and quoting) that arise on Twitter in relation to such a relevant topic as climate change. We detected that the largest connected component of these networks presents low values of average degree and betweenness, as well as a small diameter compared to the total number of nodes in the network. The largest connected component of retweeting and quoting networks also exhibits very low negative assortativity. The quoting and retweeting networks have a more hierarchical structure than the replying network. We also find that the process of emergence of new links in the interaction networks can be properly modeled (with high accuracy) through a Support Vector Machine model using the embeddings provided by the Node2Vec algorithm. A Random Forest model using certain similarity measures as explanatory variables between nodes also provides high accuracy. In addition, we analyze the communities existing in each interaction network by means of the Louvain method. The cumulative probability distributions of hashtags per community are also examined. |
| format | Article |
| id | doaj-art-c354536e5ab94c36a72c1cb4efcfbe4b |
| institution | Kabale University |
| issn | 1099-0526 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-c354536e5ab94c36a72c1cb4efcfbe4b2025-02-03T01:32:35ZengWileyComplexity1099-05262022-01-01202210.1155/2022/8924468Modeling the Interaction Networks about the Climate Change on Twitter: A Characterization of its Network StructureMary Luz Mouronte-López0Marta Subirán1Higher Polytechnic SchoolHigher Polytechnic SchoolThis work studies the interaction networks (replying, retweeting, and quoting) that arise on Twitter in relation to such a relevant topic as climate change. We detected that the largest connected component of these networks presents low values of average degree and betweenness, as well as a small diameter compared to the total number of nodes in the network. The largest connected component of retweeting and quoting networks also exhibits very low negative assortativity. The quoting and retweeting networks have a more hierarchical structure than the replying network. We also find that the process of emergence of new links in the interaction networks can be properly modeled (with high accuracy) through a Support Vector Machine model using the embeddings provided by the Node2Vec algorithm. A Random Forest model using certain similarity measures as explanatory variables between nodes also provides high accuracy. In addition, we analyze the communities existing in each interaction network by means of the Louvain method. The cumulative probability distributions of hashtags per community are also examined.http://dx.doi.org/10.1155/2022/8924468 |
| spellingShingle | Mary Luz Mouronte-López Marta Subirán Modeling the Interaction Networks about the Climate Change on Twitter: A Characterization of its Network Structure Complexity |
| title | Modeling the Interaction Networks about the Climate Change on Twitter: A Characterization of its Network Structure |
| title_full | Modeling the Interaction Networks about the Climate Change on Twitter: A Characterization of its Network Structure |
| title_fullStr | Modeling the Interaction Networks about the Climate Change on Twitter: A Characterization of its Network Structure |
| title_full_unstemmed | Modeling the Interaction Networks about the Climate Change on Twitter: A Characterization of its Network Structure |
| title_short | Modeling the Interaction Networks about the Climate Change on Twitter: A Characterization of its Network Structure |
| title_sort | modeling the interaction networks about the climate change on twitter a characterization of its network structure |
| url | http://dx.doi.org/10.1155/2022/8924468 |
| work_keys_str_mv | AT maryluzmourontelopez modelingtheinteractionnetworksabouttheclimatechangeontwitteracharacterizationofitsnetworkstructure AT martasubiran modelingtheinteractionnetworksabouttheclimatechangeontwitteracharacterizationofitsnetworkstructure |