Data for : Reconstruction of the socio-semantic dynamics of political activist Twitter networks - Method and application to the 2017 French presidential election

These are the data related to the PLOS ONE paper : Gaumont N, Panahi M, Chavalarias D (2018) Reconstruction of the socio-semantic dynamics of political activist Twitter networks—Method and application to the 2017 French presidential election. PLoS ONE 13(9): e0201879. https://doi.org/10.1371/journal.pone.0201879 This paper proposes an integrated methodology for the data collection, the reconstruction and the visualization of the development of a country political environment from Twitter data. These data cover several aspects of the analysis of the 2017 French presidential campaign election from the perspective of Twitter processing of the Twitter data: intermediary results processed on the tweets dataset (for example text-mining results), additional data from the candidates' programs. Additional information are given in the Supporting information texts.

本数据集关联发表于《公共科学图书馆·综合（PLOS ONE）》的论文：Gaumont N、Panahi M、Chavalarias D（2018）《政治活跃用户推特（Twitter）网络的社会语义动态重构——方法及其在2017年法国总统选举中的应用》，刊载于PLOS ONE 13卷9期，文章编号e0201879，DOI：10.1371/journal.pone.0201879。该论文提出了一套整合方法，可基于推特数据开展一国政治生态发展演化的采集、重构与可视化呈现。本数据集涵盖了基于推特数据处理视角开展2017年法国总统竞选分析的多个维度：包括推文数据集的中间处理结果（如文本挖掘结果），以及候选人竞选纲领的补充数据。更多补充信息详见随附的支持性文本资料。