Abiola Sylvester Akinnubi
Nitin Agarwal
Vanessa Okeke
Ayokunle Sunmola
Abstract
Tracking and analyzing large dataset from various blog collections has become a common challenge for analysts, social scientists, information scientists, behavioral scientists, industries, and government agencies.
Since Blogging has expanded exponentially, various platforms now incorporate blogging to extend their websites and applications. Blogging has since become where people share thoughts and seek to influence and push narratives to diverse sections of the public, customers, followers, and others.
The blogosphere is a virtual community of blogs that exists together with influence spanning beyond the borders of countries and regions and is not restrictive in the length of what bloggers can post; this allows various authors to generate content since blogs provide an avenue to shape narratives and influence due to their unlimited capabilities and are free from government regulation and controls.
Blogs create a treasure trove of information that can be analyzed and generate meaningful insights through various visualization mechanisms and information science approaches.
Published on:
Visualization of Influential Blog Networks Using BlogTracker
Visualization of Influential Blog Networks Using BlogTracker
Abiola Sylvester Akinnubi
Nitin Agarwal
Ayokunle Sunmola
Vanessa Okeke
Published on:
Toward Improved Clustering for Textual Data
Toward Improved Clustering for Textual Data
Abiola Sylvester Akinnubi