This thesis analyzes a continuity between the changes of the exchange rates of the cryptocurrencies and the dynamics of the created content on the Internet by their users. The main goals of this thesis are to analyze unstructured data focusing on the development of the topics for different cryptocurrencies and to interconnect the key topics with the changes of the exchange rates of this cryptocurrencies. In order to successfully obtain goals I describe process and methods of the analysis unstructured data, explain the issues of the cryptocurrencies, identify a source of the downloading data and choose some cryptocurrencies for subsequent analysis. The contribution of this thesis is the identification of the development key topics in the chosen source, finding topics, which are the most under discussion about the chosen five cryptocurrencies. Also this thesis detects the existence of the reaction of the users to the changes of exchange rates of the chosen cryptocurrencies and describes it. Particular contribution of this thesis is a practical demonstration of the application the elected technology for analyzing unstructured data. Also additional contribution is the methods using in the analytical part. Structure of this thesis is divided to the three main parts. The first part describes the analysis of unstructured data theoretically and explain the issues of cryptocurrencies. The second part devotes a draft of the solution for creating an analytical part. The third part maps the most discussion cryptocurrencies in the chosen source, identifies the development of the key topics for five chosen cryptocurrencies Bitcoin, Nxt, Dash, Monero and Counterparty and interconnects the key topics this cryptocurrencies with changes their exchange rates in relation to American dollar.

In this thesis, an analysis of Bitcoin, Monero price and volatility is conducted with respect to S&P500 and the VIX index. Moreover using Python, we computed correlation coefficients of nine cryptocurrencies with two different approaches: Pearson and Spearman from July 2016 -July 2018. Moreover the Pearson correlation coefficient was computed for each year from July2016 - July 2017 - July 2018. It has been concluded that in 2016 the correlation between the selected cryptocurrencies was very weak - almost none, but in 2017 the correlation increased and became moderate positive. In 2018, almost all of the cryptocurrencies were highly correlated. For example, from January until July of 2018, the Bitcoin - Monero correlation was 0.86 and Bitcoin - Ethereum was 0.82.

This thesis describes important existing cryptocurrencies and their basis principles. Especially it describes differences between this cryptocurrencies and theid basis principles. Also describes posibilites for analysis of Bitcoin blockchain. Next part describes improvments of tool for blockchain analysis. Futher it describes cryptocurrency analyzing tool, and it's implemented extensions.

The monetary policies of states and systems built upon them do not naturally allow transactions of a very small value, as the transaction costs exceeds the actual value of the transaction. These types of transactions are called micropayments. This is problematic as it removes the possibility to monetize content that has a valuation that is so low that the costs of the transaction exceeds the value of the content. In this thesis we aim to create a system that allows micropayments to monetize low value content. We do so by developing a design theory based on Gregor and Jones conceptual model for design theories within Information Systems research. The system that we develop will use the end users computational power to generate a value, by running a cryptocurrency miner. We present the background knowledge required to fully understand the presented design theory. Within the design theory, we present a theoretical framework to base systems on that enables micropayments through cryptocurrency mining. We also present a developed proof of work prototype that proves the validity of the theoretical framework. Lastly we discuss our design theory. We conclude that the design theory enables transactions of a very low value, such as 0,0001 \$ cents. Transactions of such small value is not possible with systems built upon states monetary policies. We also conclude that the proposed design theory can be further developed to function independently of cryptocurrency mining. Instead the value for the transaction could be generated through solving complicated problems if institutions are willing to pay for computational power to solve them.