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An Insight into Twitter Networks of Central Banks

python view site docs

The project focuses on studying the presence of banks on social media, using three central banks as case studies: the European Central Bank (ECB), the Federal Reserve (FED), and the Bank of England (BoE).

The primary objective of this project is to gain insights into the intricate dynamics of the social affiliation network, examine the dissemination of information within it (focousing on homophily, triadic closure, sentiment analysis), and analyze how banks interact with users.

Features:

  • Social Affiliation Network Analysis: Analyze user interactions, identify communities, and explore patterns of interaction within communities. Network Analysis Community Detection

  • Information Distribution Analysis: Examine information flow within the network and analyze distribution among communities (see above) and classified users(check all type of users identified at this link ).

  • Topic Modeling: Identify main themes and topics of discussion, and study how they spread and evolve within the network.

  • Hashtag Evaluation: Assess the impact and effectiveness of hashtags used by central banks on social media.

  • Sentiment Analysis: Gauge sentiment expressed in communications of central banks and public sentiment towards them.

  • A Case Study: The Whatever It Takes ~ Mario Draghi

Results

The social affiliation network graph is avaiable here.

The report of the project is avaiable here,the relative ppt is avaiable here.