KR102149747B1 - Block chain based social network service system and method - Google Patents

Abstract

Disclosed is a blockchain-based social network service system and method. According to the block chain-based social network service system and method according to an embodiment of the present invention, there is an effect of providing an appropriate compensation for valuable data voluntarily created by a user.

Description

Block chain based social network service system and method}

The present invention relates to a block chain-based social network service system and method.

Social Network Service (SNS) is an online service that creates and reinforces social relationships through free communication, information sharing, and personal network expansion among users. The companies that provide these services are using the valuable data we create to accumulate the greatest wealth in human history. The data we produce while using the service meets artificial intelligence and is increasingly emerging as a new kind of asset. However, most of us, who are the subjects of data production, receive little or no benefit for it.

Korea Dongrok Patent No. 10-1216689 (registered on Dec. 21, 2012)-SNS integrated management system and method

The present invention is to provide a block chain-based social network service system and method capable of providing appropriate compensation for valuable data voluntarily created by a user.

Objects other than the present invention will be easily understood through the following description.

According to an aspect of the present invention, there is provided a method for providing a social network service performed in a blockchain-based social network service system, comprising: receiving, by a social network service platform, user context data including location information from a user node; Evaluating the value of the user context data; And registering the user context data as a confirmed block in the block chain, and paying a coin corresponding to the value of the user context data as a reward to the user node. .

The user context data may further include at least one of behavior information, photos, articles, hashtags, and number of recommendations.

In the value evaluation step, a data score for the user context data may be calculated, and a reputation for the user node may be applied as a weight.

The reputation may be determined by a like score corresponding to a recommendation amount of other users for all user context data generated in the user node.

The reputation may be a result of arranging the likes scores in order and distributing the reputation scores relatively according to a normal distribution having a predetermined average and standard deviation.

In the reward payment step, the reward may reflect a ratio of the data points to the amount of mining per unit time.

When a query based on the user context data is input from a vendor terminal, the social network service platform may search and mask a user node having a relatively high correlation to the query, and transmit the query to the vendor terminal that sent the query.

Payment using the coin may be required as a prerequisite for inputting the query to the vendor terminal.

The valuation step may include zoning a plurality of sectors based on location; Selecting a user node belonging to an intersection between any two sectors as a computation node; Calculating data points of all user nodes belonging to the two sectors at the calculation node; Calculating reputations of all user nodes belonging to the two sectors in the calculation node; Transmitting a calculation result value reflecting the reputation in the data score to a verification node; And comparing and verifying the verification result value calculated by the verification node for all user nodes with the calculation result value, and when the verification result value and the calculation result value are the same, the calculation node is calculated. If the compensation according to is paid and the verification result value and the calculation result value are not the same, a penalty may be given to at least one of the verification node and the calculation node whose calculation is incorrect.

Calculation by the calculation node may be performed in a public blockchain layer, and calculation and verification by the verification node may be performed in a private blockchain layer.

The verification node may check whether there is a calculation error by comparing a verification result value with another verification node in the private blockchain layer.

In the step of calculating the data score, the data score DS _Nn may be calculated using the following equation.

,

,

,

,

,

는 각 맥락 데이터의 데이터 점수 비율(가중치)임- -LD is the number of location inputs, AD is the number of action inputs, PIC is the number of photo inputs, TL is the number of posts, TAG is the number of hashtag inputs, and LIK is the number of recommendations,

,

,

,

,

,

Is the data score ratio (weight) for each contextual data-

Meanwhile, according to another aspect of the present invention, there is provided a block chain-based social network service system, comprising: a user node for generating user context data including location information; And receiving the user context data from the user node, evaluating the value of the user context data, registering the user context data as a confirmed block in the blockchain, and sending a coin to the user node according to the value. A blockchain-based social network service system including a paid SNS platform is provided.

A company terminal that transmits a query based on the user context data to the SNS platform, wherein the SNS platform searches and masks a user node having a relatively high correlation to the query, and sends the query Can be transferred to.

Other aspects, features, and advantages other than those described above will become apparent from the following drawings, claims, and detailed description of the invention.

According to an embodiment of the present invention, there is an effect of providing an appropriate compensation for valuable data voluntarily created by a user.

1 is a graph showing consumer complaints related to domestic SNS,
2 is a diagram showing various stakeholders in a blockchain-based social network service ecosystem (livin ecosystem) according to an embodiment of the present invention;
Figure 3 is an example of an advertisement saying that Facebook likes do not help anything,
4 is a graph showing the size and prospect of the mobile advertising market;
5 is a diagram showing a problem to be solved in the mobile advertising market;
6 is a graph showing the market (estimated) scale (unit: $1 billion) of e-commerce,
7 is an architecture of a blockchain-based social network service (livin service) system according to an embodiment of the present invention,
8 is a graph showing the daily issuance amount of bins issued by year;
9 is a cumulative issuance amount of bins per year after the launch (distribution) of a blockchain-based social network service (reburn social network service) according to an embodiment of the present invention,
10 is a diagram showing a process of a blockchain-based social network service (livin social network service) according to an embodiment of the present invention;
11 is a graph of the relative frequency distribution of the flat plate,
12 is a flowchart of a method for providing a blockchain-based social network service performed in a blockchain-based social network service system according to an embodiment of the present invention;
13 is a diagram showing the configuration of a block chain-based social network service system according to an embodiment of the present invention.

In the present invention, various modifications may be made and various embodiments may be provided, and specific embodiments will be illustrated in the drawings and described in detail. However, this is not intended to limit the present invention to a specific embodiment, it is to be understood to include all changes, equivalents, or substitutes included in the spirit and scope of the present invention.

When a component is referred to as being "connected" or "connected" to another component, it is understood that it may be directly connected or connected to the other component, but other components may exist in the middle. Should be. On the other hand, when a component is referred to as being "directly connected" or "directly connected" to another component, it should be understood that there is no other component in the middle.

Terms such as first and second may be used to describe various components, but the components should not be limited by the terms. These terms are used only for the purpose of distinguishing one component from another component.

The terms used in the present specification are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In the present specification, terms such as "comprise" or "have" are intended to designate the presence of features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, but one or more other features. It is to be understood that the presence or addition of elements or numbers, steps, actions, components, parts, or combinations thereof, does not preclude in advance.

In addition, components of the embodiments described with reference to each drawing are not limited to the corresponding embodiments, and may be implemented to be included in other embodiments within the scope of the technical spirit of the present invention. Even if the description is omitted, it is natural that a plurality of embodiments may be implemented again as a unified embodiment.

In addition, in the description with reference to the accompanying drawings, the same or related reference numerals are assigned to the same components regardless of the reference numerals, and redundant descriptions thereof will be omitted. In describing the present invention, when it is determined that a detailed description of related known technologies may unnecessarily obscure the subject matter of the present invention, a detailed description thereof will be omitted.

In addition, terms such as "... unit", "... unit", "... module", and "... group" described in the specification mean a unit that processes at least one function or operation, which is hardware or software or hardware and software. It can be implemented by a combination of.

Social network service (SNS) is used as a space for information sharing and communication between people, which is the basic purpose of the Internet. After the rise and fall of many social network services, as of 2018, Facebook, Instagram, and Twitter have the most users. Companies that operate this service generate revenue by analyzing users' lifestyles, interests, and personal information, and then providing advertisements to service users. This revenue model has turned social network service companies into giants. For example, Facebook's 2016 advertising sales amounted to about 26.8 billion dollars, accounting for 97.3% of Facebook's total sales. Facebook's operating profit, driven by advertising sales, is also growing at a rapid pace every year.

These social network services generate revenue by attracting users through content produced by content producers with time and effort, but there is a problem in that there is no revenue return to content producers who have contributed the most to the growth of the service. In addition, service users are uncomfortable to be exposed in unwanted advertisements. After the spread of smartphones, the mobile advertising market grew annually, reaching $143.5 billion worldwide in 2016. However, most of the ad revenue was monopolized by ad brokers such as Facebook and Google, and very few cases went to users exposed to ads. In particular, in recent years, negative perceptions of users have been reported to increase in unnecessary advertisements originated from native advertisements.

1 is a graph showing consumer complaints related to domestic SNS.

Referring to FIG. 1, it is shown that excessive commercial advertisement is the biggest complaint of social network service users. In the Internet space, advertisements make various Internet services available inexpensively. Therefore, when considering the proportion of advertisements in social network services, negative perception of advertisements can act as a factor that adversely affects the service ecosystem.

Donation is arguably the most beautiful form of economic activity that humans can do. Many people around the world are in need of donations and are actually receiving many benefits. In general, donors cannot directly meet the beneficiary and deliver donations, so many donors use donation organizations such as the Red Cross and UNICEF.

However, the cost of intermediary donation by various donor organizations has been a social controversy several times. CNN reports that in the event of an earthquake in Haiti in 2010, the Red Cross raised more than $500 million in donations, but was used to build only six houses. And recently, the Fruit of Love, one of the donation foundations in Korea, has caused disappointment to many donors due to excessive expenses for the foundation's operating expenses.

Blockchain is a trust-based network, which is a technology that can eliminate or reduce intermediary costs incurred by intermediaries. Bitcoin proved that money can be safely maintained without an intermediary agency that manages money, and Ethereum proved that there is no need for an intermediary agency for contract execution and execution through smart contracts. These blockchain technologies have laid the foundation for minimizing or eliminating intermediary costs for advertisements and donations. In the case of advertisement, if the advertiser can directly select the advertisement target and pay the advertisement fee to the viewer, the advertisement can be performed more effectively by excluding the brokerage gain obtained from the intermediary agency. And, in the case of donation, it is possible to minimize the operating cost of the foundation by solving the problem that the donor cannot select the beneficiary.

Hereinafter, we will try to solve the above-described problem, focusing on Liveen, a blockchain-based social network service that can receive honest rewards according to an embodiment of the present invention, and Veen, a coin used in the ecosystem.

Livin and Bean provide platforms for advertising, donations, and e-commerce. LIVEEN is a social network service that evaluates users' content and provides them with a reasonable reward. Beans produced here can be converted into cash through exchanges and used as currency in advertisements and donations. Advertisers and donors can select advertisement targets and donation beneficiaries based on the contents produced in LIVEEN. In addition, advertisers and donors can directly remit advertising expenses and donations to ad viewers and donation beneficiaries through Bean.

LIVEEN provides an e-commerce service to purchase relief items or advertised items through Bean. Users can directly purchase goods with the bins mined through their context data, and bins acquired by purchasing goods can be used again as advertisements. In addition, relief supplies that can be directly purchased through donations received as donors can be purchased through e-commerce. The amount of beans obtained through donations can be purchased as relief items such as groceries, medical supplies, and educational supplies, which will be supplied non-profit unlike general items.

2 is a diagram showing various stakeholders in a blockchain-based social network service ecosystem (livin ecosystem) according to an embodiment of the present invention.

As shown in Fig. 2, the LIVEEN social network service and the LIVEEN platform are organically linked through an intermediary currency called Bean to build a single ecosystem. That is, value is given to the user who produced data, and the value is used to provide donation, advertisement, and data transaction services, and businesses that provide goods or services can resell the value they produce. This is in line with the philosophy of the Internet of value exchanged through blockchain.

The most valuable resource in the modern era is information. In this era, the public should be able to gain trust in their honesty by disclosing their information and lead to profit. The value of Livin and Bean is to make the enormous profits arising from the consumption ecosystem go to the subjects of production and consumption, not to a few vested interests. Multinational digital dinosaur companies have accumulated wealth by indiscriminately utilizing the privacy of users and did not pay compensation for the privacy to the parties. This centralization of information has concentrated wealth on the part that controls it, and most of the participants have suffered losses in the long run. However, blockchain is a technology that drives this centralization to decentralization. Livin and Bean practice decentralization of information by paying fair compensation to producers of information, and based on this, increase the legitimacy of the consumption ecosystem. Thus, Livin wants to realize decentralized consumer capitalism.

The relevant market status is as follows.

Hereinafter, we will discuss the problems of the current Korean or global advertising market and the donation market. Through this, the LIVEEN social network service and platform aims to present a fundamental problem-solving method by taking the existing problems as a validity point and achieving decentralization, a blockchain philosophy.

1) Donation market

Many developed countries are making great efforts for good donation policies. In the case of Korea, the trend of donations, which had been steadily increasing until 2013, has declined. The reason is reported to come from the issue of transparency and trust in donation organizations. Most countries are registered and operated as donation organizations to receive tax benefits. At this time, there is a lack of laws to secure public interest in establishing many donation organizations. In the case of Korea, it is based on whether the documents are incomplete and whether or not a website is available. This is not only due to the lack of clear standards for donation organizations, but also because a lot of time and effort is required for review. Distrust in donation organizations has a problem that causes donors to hesitate to donate, and instills a negative image of donation, thereby reducing donations.

It is a matter of trust in the use of donations made by donors. The Haiti case mentioned earlier is also serious, but there are more specific cases. According to a news report from Korea in 2014, there were reports of problems such as the use of donations for entertainment expenses for employees of the Foundation. The same is true of advanced donation countries such as the United States. According to the Washington Post in 2016, Trump reportedly spent about $300,000 in donations from the Trump Foundation to settle his legal issues. As such, the problem of transparency regarding the use of donations is more prevalent in countries where there is no obligation to disclose the use of donations.

Many countries around the world have been making various efforts such as tax benefits for a long time to spread the donation culture, but negative cases are frequently occurring due to institutional limitations. A fundamental solution to this is for donors to donate directly to beneficiaries. However, given the international donation environment, donors and beneficiaries are often very distant geographically and cannot communicate directly. In addition, many donation beneficiaries do not have a bank account, so there is no way to receive donations, and for this reason, donations are made after purchase with food or medicine, which is producing another brokerage. Therefore, in many African countries, a peer-to-peer donation platform is in service. According to one survey, direct donations accounted for 33% of all donations in the United States. This is a service that is only possible when the donor and beneficiary are close to each other, so it is not a fundamental solution.

The LIVEEN donation platform using the block chain according to the present embodiment provides a function to directly search for donors meeting specific conditions based on data such as frequently living in a corresponding area. And you can donate by sending Bean directly from your empty wallet. This coin can be exchanged for localization through an exchange, or groceries, medicines, and toys can be purchased through the donation mall, a non-profit shopping mall operated by the foundation. The Bean Operation Foundation plans to operate a donation mall for non-profit, and the operating funds will also be raised from proceeds generated from the LIVEEN advertising mall.

2) Advertising market

The mobile advertising market has continued to grow with the spread of mobile phones.

3 is an example of an advertisement saying that Facebook likes do not help anything, FIG. 4 is a graph showing the size and prospect of the mobile advertisement market, and FIG. 5 is a diagram showing a problem to be solved in the mobile advertisement market, 6 is a graph showing the market (estimated) scale (unit: $1 billion) of e-commerce.

Referring to Fig. 4, it shows the market size and forecast of the mobile advertising market (unit: $1 billion). As you can see from the graph, the mobile advertising market has already exceeded $100 billion, and it is growing continuously. Mobile advertisements are generally formed by being randomly exposed to users who use various Internet services. And in return for providing the service, companies are growing rapidly on a profit basis. However, these advertising revenues are dominated by intermediaries and Internet service providers that broker advertising platforms. This is true of search service providers like Google, as well as social networking services like Facebook and Instagram.

Referring to FIG. 3, there is shown a public service advertisement indicating that Facebook's'Like' is of no use to data producers. This advertisement satirizes the producers of no benefit, no matter how much good content that empathizes. In other words, service providers such as Facebook make enormous profits by using the data produced by users, but the benefits are not returning to the producers of the data that provided it. As a result, advertisements of social network services are perceived negatively by users. However, advertising is an essential economic activity as one of the major pillars of moving the market economy as well as the Internet and mobile economy. Considering this, it is necessary to create a legitimate advertising ecosystem by improving the capital flow of the advertising market.

From the advertiser's point of view, the current advertising method is unreasonable because the effectiveness of the advertisement cannot be directly judged. Advertisers are paying large expenses for advertisements, but it is difficult to directly confirm meaningful advertisement results such as sales growth. According to FIG. 4, it is confirmed that the size of the mobile advertisement market increases every year, but the increase rate gradually decreases. One of these reasons can be found in a marketing report in the United States. According to this report, the most urgent issues for mobile advertising to be solved are the transparency of ad contribution and the lack of advertising analysis tools. Figure 5 shows the investigations in this report. It can be inferred that the uncertainty in measuring the advertising effect is acting as an obstacle to the expansion of the advertising market. Therefore, companies with large capital can actively advertise, but small businesses in regions or ventures and start-ups with weak capital may feel burdened by advertising. In particular, there is a problem that local businesses do not have appropriate advertising means. In the case of internet or mobile advertisements, it is difficult to identify the target of advertisements because there are absolutely many users. Therefore, current local advertisements depend on the distribution of local newspapers, local television programs, and leaflets. However, this mass media advertisement has a limitation in that it incurs a large advertising cost.

In an effort to improve the flow of advertising capital, a reward advertising service (a service in which a certain advertising fee is paid as compensation when a viewer watches an advertisement) has appeared. For example, Korean Cash Slides grants virtual cyber money when an advertisement is viewed on the lock screen of a mobile phone.

This cyber money can be exchanged for gift certificates such as coffee and food. In this service, the amount of compensation varies according to the product type. In the case of an installation advertisement of a mobile application, about 35% of the advertisement cost is given to the viewer who watched the advertisement. Despite the low reward level, this service has been found to steadily increase users and generate high profits. However, this case is not only a small part of the mobile advertising market and the level of compensation is not high, so it is difficult to say that a peer-to-peer advertisement was realized.

The LIVEEN advertising platform according to the present embodiment may compensate a user for about 90% of the advertising cost. And based on the context data, the advertiser can select the customized direct advertisement targets that the advertiser wants, and the advertisement cost can also be set by himself. With this advertising method, LIVEEN can advertise rewards without an intermediary. Advertisers can not only do customized advertisements to suit their own budget and advertisement viewers, but also reduce the stress of viewing unwanted advertisements by paying compensation to advertisement viewers. The context data of LIVEEN users is used as key data for personalized advertisements to accurately determine the area of interest of the advertisement target. Reward-based customized advertisements are expected to greatly contribute to improving negative perceptions of advertisements. In addition, the LIVEEN advertising platform can provide additional advertising effect analysis methods for advertisers. Through a service called an advertisement mall, LIVEEN can directly purchase products viewed through advertisements using Bean. In addition, it is possible to directly check the purchase rate of users who viewed the advertisement, the time until the purchase decision, or the number of views. The LIVEEN platform will research ways to analyze advertising effects to advertisers and provide them as a marketing tool.

3) Personal data trading market

Data is seen by many global companies as a resource that creates future wealth. Recent advances in artificial intelligence technology accelerate this because data becomes a source for artificial intelligence inference. As reflecting this, various data markets that buy and sell such data have recently emerged. Especially in the case of personal data transactions, it is also a big social issue. Recently, the BBC announced that there was an accident in Uber where the data of 2.7 million British citizens had been leaked. And Uber paid a price of $100,000 and recovered it to prevent damage to personal data transactions in illegal markets. The market for illegal data trading is expected to reach around $150 million by 2020. Legal data transactions are also a social issue. There is an opinion that the use and transaction of personal data between Google and Facebook may lead to legal problems, and it is often resold by data brokers in the name of consenting to the provision of third-party data. Homeplus, one of Korea's major hypermarkets, has earned about $9 million by selling personal data collected in the name of a prize lottery to insurance companies at a cost of about $4 per person. And the global company Apple has earned $73 million in revenue from selling personal information of Chinese customers. These cases occur very frequently around the world.

Personal data breaches most often occur in situations where third-party intermediaries attempt to unfairly gain advantage. That is, personal data collected for the sale of goods or services are sold to other people (or companies/organizations) who need to be, and the proceeds from the sales are taken over by the seller. To overcome this problem, there is an attempt to directly trade your own data by excluding data brokers. The European SINTEF research institute has published a study on paying money through personal data through a study called Dipseity. It refers to a direct data trading market that provides the data it produces to the people in need and receives the payment directly. Therefore, LIVEEN aims to establish a fair data trading ecosystem by providing a platform that allows users to directly trade data designated by them.

4) e-commerce market

The online e-commerce market continues to grow year after year, reaching about $3 trillion in 2017. Typically, e-commerce brokers connect buyers to sellers and ask for brokerage fees. Amazon charges a commission from 15% to 45% of sales, and eBay charges a sales commission of about 10%. These two companies, as well as most e-commerce, use a commission percentage as a sales amount, which is excessive considering the cost of selling the product. This fee issue becomes even more serious in offline stores. It has been reported that department stores in Korea pay about 40% of their sales as commissions. Product prices unnecessarily rise due to excessive brokerage fees, and this burden is borne by consumers.

And for retail businesses targeting small regions, it is difficult to use e-commerce sites like Amazon and eBay. Because it is not possible to provide a product list based on a specific region, it is not easy to advertise products on the main page of a large portal site. Therefore, it is difficult to apply the existing e-commerce market to a small-scale production market represented by 3D printers or a regional service market such as a beauty salon.

Livin operates an e-commerce service called a donation mall and an advertisement mall. Donation mall and advertisement mall are e-commerce services that use Bean as a currency. At the donation mall, donation beneficiaries can exchange daily necessities, medical and educational items. The donation mall is directly operated by the Vinh Operation Foundation, and no sales commission is charged for any exchange of goods. In the case of an advertisement mall, it directly connects stakeholders so that the advertisement targets selected by the advertiser or product seller can naturally purchase advertisement products. From the perspective of consumers who purchase goods or services, brokerage fees (advertising costs) are minimized, allowing them to purchase goods at a low price, and from the perspective of producers, efficient advertising effects can be achieved by selecting the desired purchase target based on the context data of LIVEEN users. You can enjoy it. In addition, by setting a buyer based on the user's location data and linking advertisements, not only can effective product sales linked to local advertisements, but also products or services can be sold to consumers at a lower price through advertising cost compensation.

In the following, according to an embodiment of the present invention, this chapter proposes and describes the overall architecture of the bean and live service for improving the consumption ecosystem.

7 is an architecture of a blockchain-based social network service (livin service) system according to an embodiment of the present invention.

Veen is implemented as altcoins on Ethereum's smart contract platform. Therefore, Veen Coin and Veen Wallet are implemented as smart contracts, and they are called from Liveen Social Network Service or Liveen Platform to process Vin's transaction details. And there is Liveen Private Blockchain for contextual data management of LIVEEN service. This is a high-performance blockchain that can process big data and is mainly used to safely store user-produced content or to calculate the value of user-produced data through LIVEEN social network. This blockchain follows a consensus method called data value agreement that evaluates the value of data produced by users and distributes beans through it. This will be described later. The Liveen Query module is provided as a smart contract of the LIVEEN private blockchain, which analyzes and judges the user's context data and extracts the desired user information from the platform. Used. Lastly, the LIVEEN platform consists of the Liveen Common Platform, the Liveen Charity Platform, the Liveen Advertising Platform, and the Liveen Commerce Platform. A smart contract platform such as Ethereum can be replaced with its own public blockchain platform provided by the Bean Operation Foundation in the future as continuous operating costs are incurred.

Bean refers to a coin that is issued by LIVEEN and can be used in donations, advertisements, and commerce. And the 1/1,000 bean is named Fino. That is, 1,000 pinots equals 1 bean.

Beans are issued based on the value of data produced by LIVEEN. For this, a method other than mining using electricity, such as proof of work or proof of stake, which is proposed by the existing Bitcoin and Ethereum, is required. The electricity-based mining method represented by proof of work has caused environmental problems by using a large amount of electricity. With this justification, the Chinese government has put in place measures to completely ban mining in China. This problem is a side effect that occurs because it provides competitive mining incentives by recording currency transaction details on a distributed ledger and applying the rules of the game to gain trust in the details. This is pointed out as one of the shortcomings of the cryptocurrency ecosystem and is being targeted by cryptocurrency skeptics. Therefore, scholars studying blockchain are making great efforts to solve this problem. As part of this effort, Bean and Livin provide a way to agree on the rules of distribution, rather than a way to agree on the rules of competition. Considering that the blockchain is a reliable data storage, it is a consensus method that measures value by the quantity and quality of data stored in the blockchain and distributes rewards through the value. This is possible because LIVEEN stores user-generated content, not transaction records, on the ledger.

In this specification, a method called Consensus of Value (CoV) is applied to determine and negotiate the value of a transaction as a new consensus method. LIVEEN provides a consensus model of a value consensus method, which can be transformed and utilized in various blockchains that measure value according to the quantity and quality of data recorded in the ledger.

Hereinafter, one rule for measuring the data value in LIVEEN will be described.

After issuing the total amount of beans with a smart contract provided by Ethereum, the beans are distributed according to specific rules. It is expected that it will take more than a certain amount of time for the LIVEEN social network service to be published and enough users to gather. In addition, when the total issuance is 15 billion, the token issuance model following the normal distribution curve was adopted to prevent sudden service churn by gradually reducing the issuance until the point of completion of mining. The total amount of bins is 15 billion, and the amount of bins issued varies by year. In addition, for the continuous supply of beans, the foundation purchases a certain amount of beans in the market every month to maintain the price of beans. The range of the purchase percentage is determined monthly by the Trustees' Board.

8 is a graph showing the daily issuance amount of bins issued by year.

The amount of Beans issued can be changed through a decision by the Bean Operation Foundation according to the operating conditions of the LIVEEN service.

9 is an accumulated amount of beans issued per year after the launch (distribution) of a blockchain-based social network service (reburn social network service) according to an embodiment of the present invention.

It may take a total of 10 years for all the beans issued annually to be released to the market, for example. After all bins are issued, bins are distributed for advertisements, data transactions, and donations, and users produce personal context data for effective advertising or donations.

As previously mentioned, users of LIVEEN social network service distribute coins issued in one hour by combining reputation with data produced within a certain period of time (eg, one hour). In other words, the score is calculated for each user of all context data produced during a specific time period, and the amount of issuance per hour (unit time mining amount) is reflected as a score ratio. And 10% of the mined beans can be allocated to LIVEEN's operating costs.

Table 1 shows the types of user context data, the weight of data points, and the maximum limit. The contents of this table can be changed after testing. In the case of the maximum limit, it is context data that can be produced by one user during an hour, which is a unit of time to prevent indiscriminate data production. In the case of recommendation,'like' and'dislike' are allowed in two, respectively, in order to prevent multiple'dislikes' from being recorded to increase their reputation score. Data set as private by the user does not affect the data score calculation.

And in order to prevent the production of meaningless data, the reputation of the produced user is applied to the data output. Reputation (REP) is made up of 10 points, and your reputation is determined by the amount of recommendations (like/dislike) of other users from the produced data. Therefore, the formula for calculating the data score (DataScore) is as follows, for example.

[Equation 1]

For example, if you have 12 location records, 6 behavior records, 3 photos, 200 texts, 10 hashtags, and 3 recommendations, you will get 432 points if your reputation is 8 points. All people's data points calculated in this way are allocated to the mined bins according to the ratio. The following is an equation that determines the reward bin for a specific user according to the amount of mining (QoM) in unit time. As mentioned earlier, 10% (QoM/10) of the mining volume is calculated as the operating cost of LIVEEN. The remaining beans used for operating expenses will be incinerated by the Foundation. The formula for calculating DataScore and Reward may be changed under the resolution of the Vinh Operation Foundation depending on the operating status of LIVEEN Service.

[Equation 2]

Examples of calculating compensation are as follows. For example, if a total of 5 people earned 1000, 600, 500, 500, 400 data points, a 1000 point earner would get a relative score of 0.33 points, and assume that the amount of bins mined per unit time is 10,000. When doing so, you will get 2,970 bins out of 9,000 bins excluding 1,000 bins for service operation costs. Beans acquired by users are distributed to content providers at specific cycles according to the policy of the Bean Operation Foundation.

FIG. 10 is a diagram showing a process of a blockchain-based social network service (livin social network service) according to an embodiment of the present invention, and FIG. 11 is a graph of a relative frequency distribution of reputation.

LIVEEN is divided into a social network service and a platform for donation, advertisement, and e-commerce. This service is a social network system that shares a reward-based record of one's life, that is, contextual data. It is a service that can receive. Context data produced by a user can be searched and searched by the user or another user, and if it is not his/her life record, it can be recommended as'Like' and'Dislike'. These recommendations from others are applied to the reputation of the contextual data producer. In addition, content uploaders who have been evaluated for inadequacy can be penalized through fines to systematize corporate social obligations. In addition, this service includes empty wallets for remittance of one's own beans to others or collections of others. In addition, through this service, users can receive donations or watch advertisements. Advertisements are exposed in the order in which they can acquire the most advertisement fees, and when a user views an advertisement, the registered advertisement fees are deposited into the user's wallet. After the advertisement is viewed, it is replaced with the next higher advertisement fee.

LIVEEN users can view data recorded in a specific location. Users can rate specific content as'Like' and Dislike', but the number of ratings is limited to two each an hour. And, for one content, only one recommendation per user is allowed. Recommendations are made anonymously, and content set as private by users cannot be viewed. The user can view the content recorded by him on his main screen. In addition, there is a'nonconformity' item in the evaluation, in order to delete social data such as advertisements or pornography. As the influence of internet platforms expands, it is pointed out that corporate social responsibility is necessary for them. In the US, Germany, the UK, and France, there is a regulatory movement on social media and portals. In particular, Germany enacted a law that imposes a fine of up to 50 million euros on social media operators who neglect'clearly criminal' posts. However, through the'nonconformity' category, LIVEEN can systematize corporate social obligations rather than compulsory monitoring based on laws. Users can make one'non-conforming' recommendation per hour. If social data is evaluated as'nonconformity' above certain criteria, the user who posted the data is subject to a fine. The criteria and amount of fines may be determined and announced at service initiation.

As described above, by producing context data, beans can be obtained, in which case the user's reputation is applied. Reputation is calculated by receiving the context data produced by oneself as'like' and'dislike' from a number of other users, and combining them. First-time users start with a score of 5, and the more'Like' it is, the higher it is, and the more'Dislike' it decreases. Reputation is calculated relative to the number of likes and dislikes from all content of a specific user, and this is called the Like Score.

[Equation 3]

After listing these likes scores in the highest order, reputation scores are distributed according to a normal distribution with an average of 5 and standard deviation of 2. Reputation score is based on a 10 out of 10 by applying a relative evaluation, the normal distribution was adopted to induce users to know their position in the entire system. All users are the population, the average reputation is 5 points, and the distribution is a standard deviation of 2. The equation below expresses this as a normal distribution equation.

[Equation 4]

Referring to FIG. 11, a graph of a distribution of relative frequencies of a flat plate is shown, and Table 2 shows a distribution table of a relative frequency of a flat plate.

For example, if your likes score is in the top 1.7%, you get 9.0 points, and if your likes score is in the top 15.2%, you get 8.0 points.

Reputation can be applied by dividing it into the 100th quartile considering the first decimal place. This reputation calculation method can be changed according to the test or operation of LIVEEN service.

The LIVEEN platform according to the present embodiment is a platform for donating, advertising, and electronic commerce based on context data accumulated through the LIVEEN social network service. Hereinafter, the platform will be described in detail.

The LIVEEN platform selects the target audience through a query based on context data. In other words, the desired target person can be extracted through the location data, social data, and personal history data registered by the user, which consists of various conditional sentences. Table 3 schematically shows examples of LIVEEN query terms.

This query will be elaborated with the help of a marketing expert, and will be applied from simple queries to judgments using artificial intelligence. This means that when the LIVEEN query language is activated, many AI developers will use LIVEEN's context data to create decision logic and develop an ecosystem platform that can sell it as a research project for the LIVEEN project.

Like the rain described above, donations can be exchanged through the LIVEEN platform. Donors can select specific donors through the LIVEEN query language. For example, "Retrieve the 100 people who lived in Sierra Leone between 2010 and 2015 who stayed in school for the longest time." The same query is possible. The donor can directly check the user's context data extracted from the query, or can donate directly through a simple query. Donation is done by remittance through LIVEEN wallet, and the donor can be disclosed to beneficiaries or not, if desired. Through this direct donation method, LIVEEN aims to contribute to a smooth donation culture by eliminating or minimizing the cost incurred by donation brokerage. Donation beneficiaries can exchange the donated amount through an exchange, and in countries without an exchange, they can purchase designated items at a low price at a non-profit donation shopping mall.

The LIVEEN advertising platform can advertise to a desired target using the LIVEEN query language. At this time, the advertiser can directly calculate the number of advertisement targets and the advertisement cost. For example, an advertisement such as "Please advertise with 1 bean to 100 people in their 20s and 30s who mainly use the'pizza' hashtag among the people in their 20s and 30s residing in Seoul, Korea."

At this time, the advertiser needs at least 110 bins, because 10% of the total advertising cost is set as donation and advertising platform maintenance costs. If the advertised person does not watch the advertisement, the cost of the advertisement not viewed is returned to the advertiser. Such direct advertisements are effective not only for advertisers who provide advertisements, but also viewers who watch advertisements are rewarded, so that the viewed advertisements have a positive image. While advertising revenue has been monopolized by an advertising broker, advertising on the LIVEEN platform returns 90% of advertising costs to the advertising viewers, minimizing brokerage costs, and direct advertising (peer-to-peer) that directly connects advertisers and viewers. Advertisement) can be said to have been realized.

The LIVEEN advertising platform will provide advertisers with a variety of data that can analyze advertising effects. It provides an advertisement and product analysis service showing this by linking with LIVEEN's advertisement and product purchase history of the advertisement mall. This is to solve the problem of insufficient advertising effect analysis, which is the biggest problem in the current mobile advertising market. In addition, it is possible to analyze the effects of marketing target selection. For example, the effect of advertising targeting in their 20s and advertising targeting in their 30s can be compared and used as a reference material for future marketing target selection. LIVEEN plans to effectively provide advertising results to advertisers through continuous research.

LIVEEN is expected to develop into a data transaction brokerage platform in the future. Personal information set by LIVEEN users or contextual data generated from social services can be directly traded at an amount appropriate to the desired person.

LIVEEN social service users can register designated items (eg, address, e-mail address, etc.) and set the value of the registered personal information. Since this function may present a problem of personal information protection, in this specification, only the possibility is to be considered. However, the problem of illegal or legal third party's personal information transaction continues to be a problem, and when the data transaction produced by the person is activated, personal data transaction service is provided in consultation with the foundation and the operating organization.

LIVEEN provides an e-commerce shopping mall where you can use Bean to buy goods or services. This shopping mall is divided into a donation mall and an advertisement mall. The donation mall allows you to purchase relief products through donations, and the advertisement mall allows you to purchase advertised products at low prices. In the case of a donation mall, beneficiaries can purchase relief supplies equivalent to the amount of donation, which is limited to food, medical, medicine, and educational supplies suitable for relief. The donation mall is operated inexpensively as a non-profit and has an operating policy that minimizes the intermediary cost of donations. In the case of an advertisement mall, it is an e-commerce platform that allows advertisers to freely register advertised products and purchase immediately after advertisements. In the case of a seller who has sold a product, it is possible to immediately link the advertising fees consumed by them to sales, and through this, the effectiveness of the advertisement can be measured immediately.

LIVEEN's e-commerce platform aims to decentralize e-commerce in the private production market represented by 3D printers and retail services. In other words, if a product produced by an individual is directly registered with the LIVEEN service and the consumer pays the cost, direct delivery or direct service can be provided. In the existing commerce platform, it is not easy to sell your own product or service directly to various people in the case of regional-based retail products.

However, it is possible to effectively advertise and sell by selecting targets that can be sold through LIVEEN's LIVEEN query language and selling in connection with advertisements.

Livin and Bean aim to create an ecosystem that minimizes brokerage fees and benefits participants through decentralization of donations, advertisements, data transactions, and e-commerce. Therefore, the user's content collected in LIVEEN social network service is compensated for the provision of data by paying the bean according to the amount of data and the reputation of the provider. The data produced here can select a donation target, an advertisement target, and a sale target according to the LIVEEN query language. And donors, advertisers, and sellers directly donate, advertise, and sell directly through Bean. In the case of advertisements, social service users watch advertisements, and at this time, they can obtain advertisement fees allocated to them. This advertisement is naturally linked to electronic commerce, so that viewers who watch the advertisement can purchase the goods or services. Through this, an ecosystem that connects producers and buyers between LIVEEN and Bean is created, and users can enjoy effective advertisements, sales and cheap advertisements, and purchase while excluding donation operation costs, advertisement brokerage costs, and commerce brokerage costs.

LIVEEN according to this embodiment is a blockchain-based social network service that provides appropriate rewards for valuable data that users voluntarily create. Users create and share a variety of quality content based on their interests, and are rewarded with coins according to the value of the content. The coins received in this way can be exchanged for real money through an exchange, and can be used in conjunction with an advertising platform and an e-commerce platform for real transactions. In LIVEEN, the reward is determined in proportion to the user's data production and the results evaluated by other users, and is provided by distributing coins issued in a specific unit according to the amount of data contribution provided by the user. In addition, the context data accumulated by the user becomes information that can provide customized advertisements and customized donations, and advertisers and donors can provide advertisements or donations to targets that meet specific conditions through this information. In other words, an ecosystem is created in which people who produce contextual data can issue coins and consume coins for advertisements, donations, and real transactions. Like the saying, "You are your data," the user's data is happening at this moment, and the subject of production is the user himself. Through LIVEEN, users will contribute to the realization of true universal human value by achieving fair compensation for data, decentralization of advertisements, data transactions, donations and e-commerce transactions, and guaranteeing trust.

Referring back to FIG. 10, the SNS platform 10 (ie, LIVEEN platform) applied to the blockchain-based social network service system according to the present embodiment is a data platform based on location information of users. In the meantime, Internet service companies unfairly and unilaterally provide compensation for user data collected through a cryptocurrency called Bean.

Users who use the LIVEEN platform provide not only their current location information, but also current activities and various media data to the platform (step ①, uploading information (GPS), my behavior/hashtag, Information, etc.)). Beans can be mined by this information uploading action.

The LIVEEN platform collects data uploaded by users and conducts a quantitative evaluation of the collected data. This evaluation method can be referred to as Consensus of Value (hereinafter referred to as CoV). By CoV, the data value of users can be converted into a quantified score, and based on the converted score, it can be returned to users in the form of empty tokens.

In addition, users can perform content evaluation such as like/dislike evaluation (step ②), viewing target advertisements based on user data (step ③), and receive a bean for each action.

The user data accumulated on the LIVEEN platform can be consumed in various ways. Advertisers or commerce companies want targeted advertising rather than all-round advertising distribution, which is meaningless in terms of cost. At this time, not only the location data accumulated on the LIVEEN platform, but also various media data can be usefully used by such companies. Therefore, advertisers or commerce companies combine specific condition searches and send queries to the LIVEEN platform, and the LIVEEN platform retrieves data based on the received query, masks users and returns them to advertisers/commerce companies. Can give (step ④). In order for advertisers/commerce companies to use this query system, they need to pay for the empty token to the LIVEEN platform.

In addition, the LIVEEN platform can function as an intermediary platform that enables advertisers/commerce companies to set targets based on data and perform targeted advertisements (step ⑤). Even in this case, advertisers/commerce companies will need to pay for a blank token to use these intermediary platforms.

12 is a flowchart of a method for providing a block chain-based social network service performed in a block chain-based social network service system according to an embodiment of the present invention, and FIG. 13 is a block chain-based social network service according to an embodiment of the present invention. It is a diagram showing the configuration of the system.

The method for providing a blockchain-based social network service performed in the blockchain-based social network service system (in particular, the SNS platform 10) according to an embodiment of the present invention, particularly the data value evaluation method, is the above-described CoV, and It is an algorithm that evaluates the stored user's data (eg, current location data, current behavior, photos, posts, hashtags, recommendations, etc.). Different weights are assigned to a total of 6 types of data, and the rewards that can be received are different depending on the reputation of the user who is the data producer.

The LIVEEN platform is provided to the terminal used by the user in the form of a mobile application and can be used by the user. Referring to FIG. 13, the LIVEEN platform is a public blockchain-type user layer in which users participate in the form of nodes, and a private blockchain layer in charge of blocking by confirming user data ( Private Blockchain Layer) may be a two-tier hybrid blockchain.

In FIG. 13, a sector means a variable area range. Users N4 and N5 active in the area where the S1 and S2 areas overlap can be computation nodes that calculate the value of the data of users N1 to N12 generated in S1 and S2 (CAL _S1S2 ).

Similarly, users N10, N11, and N12 active in areas where the S2 and S3 areas overlap can be compute nodes that calculate the value of the data of users N4 to N15 active in the S2 and S3 areas (CAL _S2S3 ).

The result value calculated by the computation node can be notified to the verification nodes (V1 to Vn) constituting the private blockchain layer. Since sectors are randomly zoned according to the regional distribution of users, users who can become computation nodes because they are located at intersections between sectors can also be randomly changed every hour.

All data generated by the blockchain-based social network service (livin service) application from S1 to S3 is also propagated to the private blockchain layer in the form of transactions. Therefore, not only the public blockchain, which is the user layer, but also the nodes (V1 to Vn) forming the private blockchain can independently calculate the data value between sectors based on the transmitted data.

In addition, the nodes of the private blockchain layer are compared with the self-calculated verification result values whether CAL _S1S2 and CAL _{S2S3, which} are the calculation results received from the user layer, are correct. If the calculation result value propagated from the user layer is an incorrect calculation value, the public blockchain node that provided the calculation result value may not receive the calculation compensation.

In addition, nodes that calculated incorrect values in the private blockchain layer are also excluded from the validator role and can be permanently expelled.

If the result value is compared and found to be the same, the verification node can block the transactions corresponding to the result value and store it in the private blockchain. In addition, additional compensation can be provided to computational nodes belonging to the sector intersection that helped the computation.

The CoV logic is as follows.

The SNS platform 10 zones the sector at the present time (step S100). The sector's zoning can be made randomly.

User nodes belonging to the intersection between sectors are selected as computation nodes (step S105).

The calculation node calculates a data score (data score, DS _Nn ) for data provided by all general user nodes Nn belonging to both sectors as shown in Equation 5 (step S110). Equation 5 is similar to Equation 1.

[Equation 5]

,

,

,

,

,

는 각 맥락 데이터의 데이터 점수 비율(가중치)이다(표 1 참조). LD is the number of location inputs, AD is the number of action inputs, PIC is the number of photo inputs, TL is the number of text inputs, TAG is the number of hashtag inputs, and LIK is the number of recommendations.

,

,

,

,

,

Is the data score percentage (weight) for each context data (see Table 1).

Here, the user may raise 12 or more location inputs and 12 or more action inputs. However, since the limit values according to Table 1 are set to 12 and 12, respectively, additional compensation cannot be received for the above actions. The same goes for photos, articles, hashtags, and recommendations. And here, the limit value for each user action is exemplary, and may be changed as necessary.

The calculation node calculates the reputation (REP _Nn ) of general user nodes as shown in Equation 6 (step S115).

[Equation 6]

sort is a sorting function, #of LIK is the number of likes, #of DIS is the number of dislikes.

Here, REPDist is Reputation Distribution, and may be distributed as shown in Equation 4, FIG. 11, and Table 2.

Users' reputations (REP _Nn ) are arranged in order according to the normal distribution curve N(5, 2 ² ), and reputation can be calculated according to the ranking. for example. Users in the top 1.7% are weighted by 100%, and users in the bottom 1.7% are weighted by 1.7%. If the weight of reputation management is given high, SNS service can be managed healthily.

When the data scores and reputation calculations for all normal nodes in the sector are completed, the verification nodes constituting the private blockchain receive the calculation result value (sector result value) and compare and verify whether it is the same as the verification result value calculated by itself ( Step S120).

If the calculation result value is the same as the verification result value, it is deemed that the calculation has been performed correctly, the verification node determines a block for the transaction corresponding to the result value, and pays a reward to the calculation node that calculated the result value ( Step S125). The reward may be to provide a certain amount of bins.

If the calculation result value is not the same as the verification result value, it is considered that the calculation has not been properly performed, and a penalty is given to the verification node and/or the calculation node for incorrectly calculating the result value (step S130).

For example, calculation errors in the verification node can be checked by comparing the verification result value calculated by other verification nodes in the private blockchain. It is assumed that the verification result values calculated by multiple verification nodes are correct, and the calculated value deviating from this value is regarded as an outlier, and it can be considered that a calculation error has occurred.

After this first verification, it is possible to check whether there is an error in the calculation node. That is, it can be determined that a calculation error has occurred in a calculation node indicating a calculation result value that is not the same as the verification result value recognized as having no calculation error.

When the compensation payment and penalty assignment according to the calculation are completed, the compensation is paid to the user node Nn inputting data (step S135). The reward to be paid may be calculated according to Equation 2.

The above-described steps S100 to S135 may be periodically performed every predetermined time (eg, one hour).

The above-described method for providing a blockchain-based social network service, particularly a method for evaluating data value, may also be implemented in the form of a recording medium including instructions executable by a computer such as an application or program module executed by a computer. Computer-readable media can be any available media that can be accessed by a computer, and includes both volatile and nonvolatile media, removable and non-removable media. Further, the computer-readable medium may include a computer storage medium. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data.

The above-described method of providing a blockchain-based social network service can be executed by an application basically installed on the terminal (which may include a program included in a platform or operating system basically mounted on the terminal), and the user can use an application store server , It may be executed by an application (ie, a program) directly installed on the master terminal through an application providing server such as an application or a web server related to the service. In this sense, the above-described method for providing a blockchain-based social network service may be implemented as an application (i.e., a program) installed by default on a terminal or directly installed by a user and recorded on a computer-readable recording medium such as a terminal. .

Although the above has been described with reference to embodiments of the present invention, those of ordinary skill in the relevant technical field variously modify the present invention within the scope not departing from the spirit and scope of the present invention described in the following claims. And it will be appreciated that it can be changed.

10: SNS platform (livin platform)

Claims (14)

As a method of providing social network services performed in a blockchain-based social network service system,
Receiving, by the social network service platform, user context data including location information from the user node;
Evaluating the value of the user context data; And
Registering the user context data as a confirmed block in the blockchain, and paying a coin corresponding to the value of the user context data to the user node as a reward,
The valuation step,
Zoning the plurality of sectors based on location;
Selecting a user node belonging to an intersection between any two sectors as a computation node;
Calculating data points of all user nodes belonging to the two sectors at the calculation node;
Calculating reputations of all user nodes belonging to the two sectors in the calculation node;
Transmitting a calculation result value reflecting the reputation in the data score to a verification node; And
Comprising the step of comparing and verifying a verification result value calculated by the verification node for all user nodes and the calculation result value,
If the verification result value and the calculation result value are the same, compensation for calculation is paid to the calculation node, and if the verification result value and the calculation result value are not the same, at least one of the verification node and the calculation node whose calculation is incorrect Blockchain-based social network service provision method, characterized in that a penalty is given to one.
The method of claim 1,
The method for providing a social network service based on a blockchain, characterized in that the user context data further includes at least one of behavior information, photos, articles, hashtags, and number of recommendations.
The method of claim 1,
A method for providing a blockchain-based social network service, characterized in that, in the value evaluation step, a data score for the user context data is calculated and a reputation for the user node is applied as a weight.
The method of claim 3,
The reputation is determined by a like score corresponding to the amount of recommendations of other users for all user context data generated by the user node.
The method of claim 4,
The reputation is a result of arranging the like scores in order and distributing the reputation scores according to a normal distribution having a predetermined average and standard deviation.
The method of claim 3,
In the reward payment step, the reward reflects a ratio of the data score to the amount of mining per unit time.
The method of claim 1,
When a query based on the user context data is input from a vendor terminal, the social network service platform searches and masks a user node having a relatively high correlation to the query, and transmits the query to the vendor terminal that sent the query. Blockchain-based social network service provision method.
The method of claim 7,
A method for providing a blockchain-based social network service, characterized in that payment using the coin is required as a prerequisite for inputting the query to the company terminal.
delete The method of claim 1,
The method of providing a blockchain-based social network service, wherein the calculation by the calculation node is performed in a public blockchain layer, and the calculation and verification by the verification node is performed in a private blockchain layer.
The method of claim 10,
The verification node compares the verification result value with another verification node in the private blockchain layer to check whether there is a calculation error.
The method of claim 1,
The step of calculating the data score comprises calculating the data score (DS _Nn ) using the following equation.

-LD is the number of location inputs, AD is the number of action inputs, PIC is the number of photo inputs, TL is the number of text inputs, TAG is the number of hashtag inputs, and LIK is the number of recommendations,

,

,

,

,

,

Is the data score ratio (weight) for each contextual data-
As a blockchain-based social network service system,
A user node for generating user context data including location information; And
Receive the user context data from the user node, evaluate the value of the user context data, register the user context data as a confirmed block in the blockchain, and pay coins to the user node according to the value Including the SNS platform that,
The value evaluation step performed on the SNS platform,
Zoning the plurality of sectors based on location;
Selecting a user node belonging to an intersection between any two sectors as a computation node;
Calculating data points of all user nodes belonging to the two sectors at the calculation node;
Calculating reputations of all user nodes belonging to the two sectors in the calculation node;
Transmitting a calculation result value reflecting the reputation in the data score to a verification node; And
Comprising the step of comparing and verifying the self-calculated verification result value for all the user nodes in the verification node and the calculation result value,
If the verification result value and the calculation result value are the same, a compensation according to the calculation is paid to the calculation node. Blockchain-based social network service system, characterized in that a penalty is given to one.
The method of claim 13,
Further comprising a vendor terminal for transmitting a query based on the user context data to the SNS platform,
The SNS platform inquires and masks a user node having a relatively high correlation with the query, and transmits the query to a vendor terminal that sent the query.

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