ANKUR CHATURVEDI

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Dr. Bhuvaneswari Anbalagan

Madras Institute of Technology

明超李

Carlos Castillo

ICREA

Renata Varea

University of the South Pacific

Romitesh Kant

University of the South Pacific

John Cox

University of Melbourne

Glenn Finau

University of Tasmania

Jope Tarai

The Australian National University

Halil şengül

Istanbul Sabahattin Zaim University / İstanbul Sabahattin Zaim Üniversitesi

Tim Van Achte

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Papers by ANKUR CHATURVEDI

ICT infrastructure and social media tools usage in disaster/crisis management

This article explores the ICT infrastructure enabling social media usage for disaster management.... more This article explores the ICT infrastructure enabling social media usage for disaster management. In the era of pervasive social media, the study seeks to probe the usage of social media tools and functionalities in times of disasters. The study deploys Grounded Theory approach. Extending on disaster management cycle, this study examines the various source of information in social media followed by the type of information disseminated by them and additionally the most extensively used form of information. Three recent catastrophic events in disaster-prone Asia Pacific region were selected, Kashmir floods (September 2014), Indonesia landslide (December 2014), and Cyclone Pam (March 2015). Twitter was deployed for data collection under two phases, immediately aftermath of the event and a random sample from the first 5 days of the event. These two data sets examined the research questions by presenting timely and panoramic dimensions. The study is novel since it extends the literature ...

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IPL: From Lens of Data Science

Cricket is most lovable game in the world. It is played in many formats. One of the most popular ... more Cricket is most lovable game in the world. It is played in many formats. One of the most popular format is IPL (Indian Premier League) which is hosted by BCCI (Board of Control for Cricket in India) every year. IPL is involved in business and money as the players across the globe are auctioned by the businessmen to form their teams. This paper presents the analytics of IPL match using the dataset of previous year matches i.e. from year 2008 to 2019. Various attributes like DLS method applied, venue, toss decision, toss winner and many more have been analyzed to check whether they contribute in predicting the winner or not. In this work, some graphs has also been plotted to visualize the performance of teams and players on the basis of different attributes.