Twitter;
Politics;
Social network analysis;
Election;
Primary election;
D O I:
暂无
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
Digital social networks and social media have created increased attention and have become important in the political life of a country. Politicians, media and citizens are visible online and share their opinions immediately on these platforms. During the last days before an election a lot of activity is observed on these media, giving a picture of the issues and key people. In this paper, we study the case of the French primaries election through the Twitter microscope over a period of 10 days preceding the election. We apply social network analysis to uncover the key topics and influencers for the left and right-wings. A set of 6 graphs are constructed to analyze, separately and conjointly, the opposing factions by means of mentions and hashtag graphs.
机构:
Institut für Politikwissenschaft, Leibniz Universität Hannover, Schneiderberg 50, HannoverInstitut für Politikwissenschaft, Leibniz Universität Hannover, Schneiderberg 50, Hannover
Klein M.
Heckert F.
论文数: 0引用数: 0
h-index: 0
机构:
Institut für Politikwissenschaft, Leibniz Universität Hannover, Schneiderberg 50, HannoverInstitut für Politikwissenschaft, Leibniz Universität Hannover, Schneiderberg 50, Hannover
Heckert F.
Peper Y.
论文数: 0引用数: 0
h-index: 0
机构:
Institut für Politikwissenschaft, Leibniz Universität Hannover, Schneiderberg 50, HannoverInstitut für Politikwissenschaft, Leibniz Universität Hannover, Schneiderberg 50, Hannover