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An Implementation Of Weighted Least Squares Method In Central Bank Twitter Accounts Grew Prediction, Goran Bjelobaba, Ana Savic, Radosav Veselinovic, Hana Stefanovic
An Implementation Of Weighted Least Squares Method In Central Bank Twitter Accounts Grew Prediction, Goran Bjelobaba, Ana Savic, Radosav Veselinovic, Hana Stefanovic
UBT International Conference
This paper presents some advantages of using social media and social networks as an efficient way of Central Banks communication with target audience. The statistics given in this paper presents some leading banks based on number of followers on Twitter in 2018, showing that Indonesia’s Central Bank has more Twitter followers than any other monetary authority, beating out the Banco de Mexico, Federal Reserve, European Central Bank and Reserve Bank of India. In this paper some prediction of number of Twitter followers in Central Bank communication is also contributed, based on Weighted Least Squares method. An algorithm is implemented in …
Analysis Of Central Banks Platforms On Social Networks, Goran Bjelobaba, Ana Savic, Hana Stefanovic
Analysis Of Central Banks Platforms On Social Networks, Goran Bjelobaba, Ana Savic, Hana Stefanovic
UBT International Conference
The paper describes the advantages of using technical and technological achievements through the social networks and their implementation in Central Banks communication. A study of some Central Banks on their use of social media and some of the most popular social networks are given, showing that social media is becoming an important medium of communication for Central Banks around the world. The study shows that a majority of Central Banks use Twitter to send alerts for information already disseminated through the website, even as they are not very active in responding to public tweets, and also shows an increasing number …
Assessing Clustering In A Social University Network Course, Orgeta Gjermëni
Assessing Clustering In A Social University Network Course, Orgeta Gjermëni
UBT International Conference
A collection of data is gathered from surveys held in a Spring Course of the Economic Faculty in the University “Ismail Qemali” of Vlora, Albania. The data set for each student contains the names of the other students through which he/she have a “social relationship”. This relationship includes frequent communications, discussions on exercise solutions, and sitting usually close to each other in the class. We have constructed. At the end of the course, a final network based on this type of relationship. We are particularly interested on the clustering coefficient of this network and assessing it’s “significance”, in the sense …