Remember when was NFTS all the delirium on Twitter?

Links table

1 introduction

2 technical cases

3 Projects selection and collection of data

3.1 Blockchain data

3.2 Twitter data

4 data analysis and results

4.1 Ethereum Governor, Twitter users and 4.2 societies

4.3 Retail brands

4.4 The role of the social network community

5 conclusions and references

This paper provides an analysis of the role of social media, especially Twitter, in the context of uninterrupted symbols, known as NFTS. Such an emerging technology that framing the creation and exchange of digital organisms, which started years ago with early projects such as “Cryptopunks” and since early 2021, has received increasing attention from a community of people who create, buy and sell NFTS by the common people. In this work, it appears how the scene of one category of projects, especially those used as social media profile images, has become prevalent with pioneering projects such as “Yacht Club bored”, “Cool Cats” and “innovative logo graphics”. This work shows how heterogeneous data was collected from Ethereum Blockchain and Twitter and then analyzed using algorithms and status standards associated with graphs. Initial results show that from the point of view of the social network, the most popular NFTS groups can be considered one community around NFTS. Consequently, while each project has its own value and size for exchange, at the social level, all of whom are first affected by the development of values ​​and trades of “yacht club bored”.

1 introduction

Nonthal symbols (NFTS) are a prosperous technology, as trading volume – in just one year – has increased from $ 150 million to more [2] Through the main exchange platform Opensea) [19]. The public’s interest in NFTS has exploded since the beginning of 2021, when NFT Market has seen standard sales and exchange sizes, to this day as the individual pieces of some projects have reached millions of dollars and have been purchased by a number of celebrities. However, it is not much known about the general structure and the development of the NFT ecosystem, or how this phenomenon has also grown thanks to societies formed in social networks, such as Twitter. In a simplified way, we can define NFT as a unique digital origin (such as features, features and ownership) approved and managed by using Blockchain technology. In other words, we can think of the NFT project as a set of football players. Each of the group is from others due to some specific features (for example, the player can be somewhat required), the trading of each card is fixed, and the owner of each card is known and can be followed. The cards group is managed on Blockchain by a smart contract, while each card represents an irreversible symbol. More specifically, NFTS is an example of the application of the Distributed Professor Book Technology (DLT) that makes the mediators worthy of trust like banks and justice companies are outdated. [24]. In fact, the distinctive codes of encoding can be combined on the basis of DLTS, by enforcing guaranteed encrypted obligations (for example, through smart contracts), between two concepts (1) rights access to the basic economic value (property) [5, 13]And (2) permission to reach the property or the services of another person or a collective commodity. NFTS and technology are already used in a number of various fields. Some examples include the following: Digital Obstetrics Certificate, Representation and Management of land ownership and objects in Metaverse, and a profile ownership certificate in social networks, such as Twitter. This is the last case of personal photos (PFPS) that was one of the largest contributors to NFT technology popularity during the past year. There were digital statue projects whose cards were previously trading with a few hundred dollars in early 2021, whose average price today is hundreds of thousands of dollars. If we leave aside the purely economic aspect, this phenomenon of using NFTS as personal files has a social and technological interest, in our opinion, deserves to be searched deeper. In fact, the use of photos of the profile that belongs to a digital group with limited trading (usually 10,000 different statues) and its ownership is approved by the distributor professor’s book, providing some new and sabotage concepts completely. First of all, those who use the profile image, without any clear relationship with their own images, seek to eliminate stereotypes and prior concepts by hiding themselves in a kind of non -disclosure of their typical identity of the encryption world; Moreover, it allows the user to be able to create a digital personality (he may or does not have any relationship with his true identity that his awareness may wish to flee) [26]. Second, the fact that there is a limited number of cards (the extent imposed by construction by the smart contract on Blockchain) provides possession of some (such as Cryptopunks and Cryptoed Yacht Club) with real digital status symbols that allow the owner to highlight the fact that she is or a person in the world of Crypto for a long or economically successful period. Third, the statue of the statue in a specific project can sometimes have digital or real advantages: such as the ability to reach the discussion rooms restricted in social networks such as Discord, participation in the real world or events and private parties. This allows the union of real and digital worlds where the concept of ownership can be transferred easily and can be used, without the need to pass through the mediators. From the personal experience of the authors of this work, Twitter and Discord represents the most representative and used social networks of people interested in the type of PFPS, where real societies have been created. This work, the first of its kind, aims to analyze the activity of most PFPS in the ICTER on Twitter: which turned out to be the main communication channel for these societies and the other that was easily analyzed thanks to the content programming interface. In this paper, we wanted to apply social network analysis techniques (SNA) to the latest style to analyze these societies and check how they interact and lead in the NFTS market and how they can. SNA technologies are widely used in application areas such as community detection and subject [6]. In this paper, we took 18 most important NFT profile photo projects and we collected all their Blockha’s transactions and all its relevant tweets starting from the date of construction until April 15, 2022. After that, we analyzed the data obtained from Twitter by creating two different types of chart Common. Then we analyzed the most influential societies in this ecosystem and how they interact with each other. The paper is organized as follows: Section 2 offers an overview of SNA technologies available in literature. Next, section 3 discusses the projects that were chosen for this work, the logical basis for selecting them from among others and how data was collected from Twitter and Ethereum Blockchain. Next, the section 4 SNA analyzes and the results obtained. Finally, section 5 ends this paper by providing future research visions.