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Data normalization of cyber-attacks and cyber-spying activities

All too often the cyber-attacks or cyber-spying (cyber espionage) activities are reported as country-based aggregated numbers, showing China, the U.S., etc. as the most active countries. These reports should be normalized by “factoring out the size of the domain when you wish to compare“. This blog post demonstrates how it can be done using the pyCountrySize project that I have developed on the cyber incidents of one indicator in the Akamai’s Internet attack traffic report and the Ghostnet incident (a cyber-spying event).
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Exploring Country Size data sets: one systematic approach towards fair (more equal or more proportional) distribution of Internet resources and responsibilities

This blog post documents my preliminary work of extracting and repackaging the Country Size data sets for python users (pyCountrySize). It currently contains country-size indicators of Population (in millions, LP from IMF WEO), Economy Size (in billions, PPPGDP from IMF WEO), Internet Population (in millions, derived from the IMF WEO population dataset and ITU Internet penetration rates), and Internet Hosts (in millions, extracted from CIA the World Factbook). This post will demonstrate how it can be used in python, how it can be used to conduct meaningful cross-country comparisons, and how it can be applied to Internet-related data sets in a systematic fashion to ask and answer the question regarding fair (more equal or more proportional) distribution of Internet resources and responsibilities. The results should not only put China and the U.S. in their places but also open new spaces for us to look for better ideas among countries beyond them. Continue reading

Big data industry of online expressions and attention

Thanks to the kind invitation by associate research fellow with tenure Dr. Tyng-Ruey Chuang at the Institute of Information Science, I will give a research seminar talk on Tuesday, 23 December 2014, titled “Big data industry of online expressions and attention“. Continue reading

Public Trust in Government: The Role of the Internet in China (chinausfocus)

Normally I avoid the U.S. vs China comparison mainly because the comparison can sometimes be contrived, misleading, or simply partial. Still, I made an initial comparative analysis of the U.S. and China on the topic of “Public Trust in Government”. The essay is published here by China-US Focus I believe it is an interesting and adequate comparison because both are big countries with different levels of governments, and it is interesting to compare how Internet play a role in terms of varied levels of trust in their respective local vs. central/federal governments. Ultimately, it is a social communication and political communication question on how a political system can scale at different levels with different outcomes.

The main argument:

The relationship between the central and local governments in China has been an interesting research topic, Lieberthal (1992) called it “fragmented authoritarianism” and Landry (2008) conceptualized it as “decentralized authoritarianism”.  I would like to argue that the role of Internet has been instrumental to centralize the control by the central government so that the fragmented and decentralized local powers can be monitored and disciplined.

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