1 to 10 of 14 Results
May 11, 2022
Sharma, Shakshi; Sharma, Rajesh; Datta, Anwitaman, 2022, "Replication Data for: Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic", https://doi.org/10.21979/N9/QMLIJQ, DR-NTU (Data), V1
Two files are provided. Each contain Tweet ID, Label pairs. Label 1 indicates misleading tweets, while label 0 is used otherwise. One file contains 1500 manually annotated entries, while the other contains 114,635 where the labels are predicted algorithmically (see accompanying p... |
Jul 27, 2021 - Final Year Projects
Tan, Meng Jie Zachary, 2021, "The first year of the Covid-19 pandemic through the lens of r/Coronavirus subreddit: An exploratory study", https://doi.org/10.21979/N9/0LGZYN, DR-NTU (Data), V1
The dataset complements the following study: This study looks at the content on Reddit’s COVID-19 community, r/Coronavirus, to capture and understand the main themes and discussions around the global pandemic, and their evolution, over the first year. It is based on 356,690 submi... |
May 31, 2021 - Final Year Projects
Ng, Man Chun, 2021, "Replication Data for: Analysis of international trade data: correlating Chinese economic influence with Chinese United Front influence in Oceania", https://doi.org/10.21979/N9/K7IAFL, DR-NTU (Data), V2
China is a rising power on the world stage with growing economic and political influence. This influence is particularly felt in Australia and in New Zealand. United Front work is a key aspect of Chinese political influence abroad, particularly after Chinese president Xi Jinping’... |
Apr 28, 2021 - Final Year Projects
Tiong, Jun Hua Ryan, 2021, "Crawled Data for: Open Source Cyber Incidents Intelligence Gathering", https://doi.org/10.21979/N9/8OTEZX, DR-NTU (Data), V2, UNF:6:iPWj/OQ9OrMtgvwfypC1rg== [fileUNF]
As Theodore Roosevelt said, “The more you know about the past, the better prepared you are for the future.”. This quote cannot be more true in the realm of predictive analysis. Data about the past can be modelled on variables to explore relationships and predict future outcomes w... |
Apr 6, 2021
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Oct 28, 2020 - Bitcoin Graph Analytics
Oggier, Frederique Elise; Datta, Anwitaman, 2020, "A directed Bitcoin subgraph with 209 nodes", https://doi.org/10.21979/N9/5CFO3I, DR-NTU (Data), V1
This file contains a list of edges, specified by two Bitcoin addresses. |
Nov 28, 2019 - Bitcoin Graph Analytics
Phetsouvanh, Silivanxay; Datta, Anwitaman; Oggier, Frederique Elise, 2019, "Four Bitcoin subgraphs for analysis of multi-input multi-output transactions", https://doi.org/10.21979/N9/9NK2DD, DR-NTU (Data), V3, UNF:6:ahxegYKI7zlK/Erq/3ui5Q== [fileUNF]
This dataset contains 3 transaction subgraphs of the Bitcoin network and 1 aggregated wallet address subgraph. The 3 transaction graphs correspond to the following 3 periods of 49-50 days each. Days are counted in the history of Bitcoin: - 6th April to 25 May 2013 (days 1550-1598... |
Nov 27, 2019 - Bitcoin Graph Analytics
Oggier, Frederique Elise; Datta, Anwitaman; Phetsouvanh, Silivanxay, 2019, "An Ego network of suspected sextortionist(s)", https://doi.org/10.21979/N9/VSK3KB, DR-NTU (Data), V1
This data contains a Bitcoin subgraph which is the ego network of suspected sextortionist(s). The file name is of the form Gf***.gml, *** is the Bitcoin address of a node suspected of being involved in sextorsions. This graph is said to be an ego network because it is centered ar... |
Apr 3, 2019 - Bitcoin Graph Analytics
Phetsouvanh, Silivanxay; Oggier, Frederique Elise; Datta, Anwitaman, 2019, "A 4571 node 4762 edge directed weighted Bitcoin address subgraph", https://doi.org/10.21979/N9/FHBR2E, DR-NTU (Data), V1, UNF:6:eaOdNvG+wlTlyrVAN+MAXQ== [fileUNF]
This dataset contains an address subgraph of the Bitcoin network comprising 4571 nodes and 4762 edges. Every line contains 2 Bitcoin addresses separated by a comma, followed by a Bitcoin amount. This represents a directed edge in this subgraph. This data was extracted from the Bi... |
Oct 25, 2018 - Bitcoin Graph Analytics
Oggier, Frederique Elise; Phetsouvanh, Silivanxay; Datta, Anwitaman, 2018, "Maine airport network in January 2018", https://doi.org/10.21979/N9/WM0K5W, DR-NTU (Data), V1
This dataset contains a network of Maine airports, for the month of January 2018. It got extracted from https://www.transtats.bts.gov/DL_SelectFields.asp? Table_ID=292 using the option passengers only. Nodes are airports, and there is a directed edge between them if there is a fl... |
