Open Access. Powered by Scholars. Published by Universities.®

Computer Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Digital Communications and Networking

Conference

PDF

UBT International Conference

Social networks

Publication Year

Articles 1 - 2 of 2

Full-Text Articles in Computer Engineering

An Implementation Of Weighted Least Squares Method In Central Bank Twitter Accounts Grew Prediction, Goran Bjelobaba, Ana Savic, Radosav Veselinovic, Hana Stefanovic Oct 2018

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 …


Assessing Clustering In A Social University Network Course, Orgeta Gjermëni Nov 2015

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 …