Parallel analysis of Ethereum blockchain transaction data using cluster computing

Ability to perform fast analysis on massive public blockchain transaction data is needed in various applications such as tracing fraudulent financial transactions. The blockchain data is continuously growing and is organized as a sequence of blocks containing transactions. This organization, however, cannot be used for parallel graph algorithms which need efficient distributed graph data structures. Using message passing libraries (MPI), we develop a scalable cluster-based system that constructs a distributed transaction graph in parallel and implement various transaction analysis algorithms. We report performance results from our system operating on roughly 5 years of 10.2 million block Ethereum Mainnet blockchain data. We report timings obtained from tests involving distributed transaction graph construction, partitioning, page ranking of addresses, degree distribution, token transaction counting, connected components finding and our new parallel blacklisted address trace forest computation algorithm on a 16 node economical cluster set up on the Amazon cloud. Our system is able to construct a distributed graph of 766 million transactions in 218 s and compute the forest of blacklisted address traces in 32 s.

Transaction Analysis of Business-Ecosystems

Business-ecosystem is a rather new organizational form of interaction on market between customer and producer, which is used widely today by business-organizations of different organization and legal forms and types of economic activity. The article provides the analysis of business-ecosystems in view of the theory of transaction costs. The terms ‘ecosystem' was initially proposed to describe the environment of mutual existence of different biological beings. Later it was used for depicting the environment of business-organization. In this environment various antipodes exist and interact. At first sight they should avoid collaboration with each other, but in fact mutual coexistence intensifies every participant and fosters their development, therefore, they shall find forms and means of co-existence. In spite of the fact that business-ecosystem is a rather new trend in research in the field of economy and management, certain approaches to research and classification of the phenomenon have been created. The author in view of neo-institutional theory proves that business-ecosystem meets all classical canons, therefore it functions as a classical business-organization with similar goals and relevant tools.

After the crisis is before the crisis: Reading property market shifts through Amsterdam’s changing landscape of property investors

Shifts in property markets are closely tied to changes in investment actors’ relations, shaped by wider economic and regulatory processes. However, the existing literature generally neglects the role of actors’ behaviour and agency within property market shifts, and how market shifts affect cities. In response, we establish a framework that systematically unpacks the role, characteristics and behaviour of property investors in investment market shifts within urban development. We consider market shifts as modifications to established economic and regulatory processes and argue that a multidimensional approach is required to understand property investors and their role within property investment markets that shapes the urban built environment. Our main contribution is a novel approach and methodology to read changing property investor landscapes by linking wider economic and regulatory changes to investment actors and their investment strategies. Empirically, we focus on Amsterdam’s changing investor landscape over the last 15 years. We investigate how crises, represented by far-reaching institutional disruptions of economic and regulatory systems, relate to Amsterdam’s landscape of property investors. Correspondingly, we define three distinct periods of analysis, based on transaction volumes and regulatory interventions at national and local levels: the pre-global financial crisis (GFC) period from 2005 to 2008, the post-GFC recovery period from 2009 to 2013, and the pre-Covid19 boom period from 2014 to 2020. We reveal how Amsterdam’s investor landscape changed over the course of these periods through a mixed methods analysis, including quantitative investment transaction analysis, mapping, and in-depth interviews with investors. We ultimately suggest that reading property market shifts through multidimensional characteristics would enable more targeted policy solutions, moving away from empirically ill-supported stereotypes of property actor behaviours.

Prediksi Pola Tata Letak Produk untuk Strategi Penjualan Menggunakan Algoritma Apriori

Data mining is a term used to describe the discovery of knowledge in databases. Data mining is a process that uses statistical techniques, mathematics, artificial intelligence, and maching learning to extract and identify useful information and related knowledge from large databases. One of the data mining methods is the association rule by analyzing a sales transaction at the 212 mart latsitarda Kisaran store. Sales transaction analysis aims to design a sales strategy. To design an effective sales or marketing strategy. In addition, the use of this analytical technique can also find changing patterns of products that are often purchased together or products that tend to appear together in a transaction from transaction data which are generally large in size. Store 212 mart latsitarda Kisaran can then use this pattern to place frequently purchased products into a contiguous area. Designing product displays in catalogs, designing product package sales, and so on using data mining concepts (a priori algorithm approach) so that they can analyze buyer behavior. Keywords: Data Mining; Product Layout Pattern; Apriori Algorithm Abstrak: Data Mining adalah suatu istilah yang digunakan untuk memguraikan penemuan pengetahuan didalam database. Data Mining adalah proses yang menggunakan teknik statistik, matematika, kecerdasan buatan, dan maching learning untuk mengestraksi dan mengindentifikasi informasi yang bermanfaat dan pengetahuan yang terkait dari berbagai database besar. Salah satu metode data mining adalah aturan asosiasi dengan melakukan analisis suatu transaksi penjualan pada toko 212 mart latsitarda Kisaran. Analisis transaksi penjualan bertujuan untuk merancang strategi penjualan. Untuk merancang strategi penjualan atau pemasaran yang efektif. Selain itu, penggunaaan teknik analisis ini juga dapat menemukan pola berubah produk-produk yang sering dibeli bersamaan atau produk yang cenderung muncul bersaama dalam sebuah transaksi dari data transaksi yang pada umumnya berukuran besar. Toko 212 mart latsitarda Kisaran lalu dapat menggunakan pola ini untuk menempatkan produk yang sering dibeli kedalam sebuah area yang berdekatan. Merancang tampilan produk di katalok, merancang penjualan paket produk, dan sebagainya dengan menggunakan konsep data mining (pendekatan algoritma apriori) sehingga dapat menganalisis prilaku pembeli. Kata kunci: Data Mining; Pola Tata Letak Produk; Algoritma Apriori

Characterizing key agents in the cryptocurrency economy through blockchain transaction analysis

The cryptocurrency economy provides a comprehensive digital trace of human economic behavior: almost all cryptocurrency users’ activities are faithfully recorded in transactions on public blockchains. However, the user identifiers in the transaction records, i.e., blockchain addresses, are anonymous. That is, they cannot be associated with any real “off-chain” identify of actual users. Nonetheless, identifying the economic roles of the addresses from their past behaviors is still feasible. This paper analyzes Ethereum token transactions, characterizes key economic agents’ behavior from their transaction patterns, and explores their identifiability through interpretable machine learning models. Specifically, six types of most active economic agents are considered, including centralized cryptocurrency exchanges, decentralized exchanges, cryptocurrency wallets, token issuers, airdrop services, and gaming services. Transaction patterns such as trading volume, transaction tempo, and structural properties of transaction networks are defined for individual blockchain addresses. The results showed that cryptocurrency exchanges and online wallets have signature behavior patterns and hence can be accurately distinguished from other agents. Token issuers, airdrop services, and gaming services can sometimes be confused. Moreover, transaction networks’ features provide the richest information in the economic agent’s identification.

Pertanggungjawaban Pelaku Tindak Pidana Narkotika dan Tindak Pidana Pencucian Uang

The narcotics crime is one of the extraordinary crimes so that it is specifically regulated in act of Law Number 35 Year 2009 concerning Narcotics. The perpetrators and other parties involved in narcotics crime certainly understand the severe consequences of what they do. In connection with the above problem, there is one interesting decision to be reviewed and analyzed, which has been decided by the panel of judges is the decision number: 124 / Pid.Sus / 2016 / PN.TJK in which the perpetrator commits two offenses at once so that the sentence could be sentenced whether it has been be fair. This study will focus on legal issues, namely knowing the responsibility of the perpetrators of narcotics and money laundering crimes. analyze the court's decision Number: 124 / Pid.Sus / 2016 / PN.TJK whether it has fulfilled a sense of justice that is beneficial. This study uses a Normative Juridical approach by analyzing a court decision. As for the results of the study found that: According to the analysis of researchers seen from the criminal responsibility has fulfilled the elements of error, the ability to be responsible, evil inner attitude, and there is no reason to forgive. Court Decision Number: 124 / Pid.Sus / 2016 / PN.TJK has fulfilled a useful sense of justice. Based on research shows that the verdict given is considered fair because the defendant's actions have damaged the nation's generation and remembering that the defendant's actions committed two offenses namely violating Article 131 of Law Number 35 Year 2009 concerning Narcotics and Article 5 paragraph (1) letter c of the Act Law Number 8 of 2010 concerning Prevention and Eradication of Money Laundering Crimes. As for the suggestions that can be submitted in this study, it is better for the police in an effort to prevent the circulation of narcotics and money laundering so that they coordinate well with the financial transaction analysis tracking center and also the national land agency so that the assets of drug dealers or traffickers can be properly tracked.

Interfere! How Chinese subsidiaries manage their global headquarters

Purpose With the increasing dependence on the Chinese market, Chinese subsidiary managers rather than Western managers in the headquarters take responsibility for the overall success of the multinational company (MNC). This paper aims to argue that Chinese managers need to actively interfere to guarantee the survival of the MNC. Transaction analysis is suggested as a tool to rebalance the relationship. Design/methodology/approach Based on illustrative material and experience cases, the authors highlight why and how Chinese subsidiary managers have to engage in interference management. Findings Introducing different strategies within transaction analysis shows how Western managers can deal with Chinese interference management to improve relationships. Practical implications With the use of transaction analysis, Western managers can verify their communication strategies and behavior to better relate to Chinese subsidiaries on an “adult” level. Originality/value Interference management is based on counterintuitive thought that Chinese subsidiary managers rather than headquarters become responsible for the overall success of the MNC. Transaction analysis is used to uncover hidden assumptions, communication strategies and behavior in headquarters–subsidiary relationships.