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bajji : new generation of SNS based on weighted directed graph using blockchain transaction for visualizing trust between users

bajji : new generation of SNS based on weighted directed graph using blockchain transaction for visualizing trust between users


bajji Inc.

June 11, 2019


  1. BAJJI, VERSION 2019.6.11 1 bajji : new generation of SNS

    based on weighted directed graph using blockchain transaction for visualizing trust between users Noritaka Kobayashi, Ph.D, Founder&CEO, bajji, Inc. Koya Onodera , CTO, bajji, Inc., Makoto Fujio , CBO, bajji, Inc. contact : info@bajji.life Abstract—bajji is the world’s first social network services (SNS) for visualizing trust between users using blockchain technology. Although we have variety types of SNS now, we are considering our privacy violation or too many fake news. Web2.0 model is approaching a corner. We propose an algorithm, Proof of Mylife, to calculate trust score. We aim to establish a world where people will get more connection with trust and people who have deeply trust will have a chance to change the future through new generation of SNS, bajji. Index Terms—blockchain, social network services, trust, credit, proof of mylife, trust score, conterparty I. INTRODUCTION A. Issues on the current social web FAKE article, or not? We have now variety of social media or social network services like Facebook, Instagram, Twitter, etc. Those services were called Web2.0 when it was launched. What is Web2.0? What have we got from there? We are able to get connection each other easier? Or we could spread our post on SNS much easier? It is true, but we see lots of fake news, untrustworthy staff or excessive criticism simultaneously. In addition to it, it was revealed that some SNS giants themselves distribute fake news on their network on purpose. As of June 2019, we have more than 2 billion monthly active users (MAU) on Facebook. Surprisingly Facebook deleted more than 2 billion fake accounts according to Forbes[1]. On IR information from Facebook, its MAU in the first quarter 2019 was 2.38 billion. The number of fake accounts is almost the same with MAU Facebook shown off. What is active users precisely? How do they recognize fair accounts and fake ones. MAU is one of the most important KPIs for IT company. Its stock price relatively depends on the number of MAU. In early stage of Web2.0, the number of download was also important. But some IT companies tried to make them good, they have gotten downloads by purchase. It is just because the more download, the better apps. In the meantime, both users and investors recognized that the number of download of KPIs became meaningless. Lots of IT start-ups became to prefer to uses MAU instead. That is why Facebook themselves show off their MAU number on IR presentation sheet every quarter. We have to reconsider the deletion of fake accounts. Main business on Facebook is absolutely advertisement on it. Fee of advertisement is decided by the number of impressions. Impressions are generated by views of users. Now Facebook has 2 billion MAU and also has deleted 2 billion fake accounts. What is impression for advertisements on Facebook exactly? How many impressions from fake accounts they have? Not only the number of fake accounts they deleted, Facebook should show off the number of fake impressions generated by fake accounts as well. Why did Facebook delete fake accounts now? Why haven’t they delete them until now? It may be that parts of their revenues rely on advertisement fee generated by fake accounts’ views. Investors should attention to how Facebook would treat data brought by fake accounts from now on. B. Contradiction on the current social web When I got up in bed in the morning, what I do first every day is checking my smartphone. I check the latest news, notifications on SNS and messages on chat apps. Thanks for web, the world became very convenient. It is true. But we see some contradiction on the current web. For example, although we can communicate with each other much easier than ever when we use chat apps, it is still difficult to talk our own mind to each other. It became much easier to find new things by searching or recommendations, but it became more difficult to tell trustworthy things or not. As mentioned, you can spread your posts through your follower network. Some influencers have more than millions followers. Once they post, those contents spread out to the world instantly. On the other hand, since we receive much information, it is very difficult to identify the truth. We have more than 4 billion smartphone users and they check apps and post their contents everyday. Some became very easy, some did very difficult. TABLE I CONTRADICTIONS ON THE CURRENT WEB easy difficult chat talk our own mind to each other get connection find new business partner spread information identifying the truth find new thing find trustworthy thins
  2. BAJJI, VERSION 2019.6.11 2 C. Why it is happening? Why

    such contradiction is happening? Although we can contact easier and get information a lots, we feel it is still very difficult to tell a person/content we get to know is trustworthy or not based on much information we have. It is simply because all are free and unlimited. Registration accounts on SNS is free. Posting text, image, or even videos is free. Click like, share posts, retweet are all free. Also, it is unlimited. You can click like 1,000 times or more a day. Both getting followers and follows are unlimited. For example, if someone has more than 100,000 followers, we do not know whether he/she has really 100,000 funs or not. Out of 100,000 followers, he/she may have only 1,000 funs and rest of it might be anti-followers. It often happens. No one knows for a fact. For most of consumers, we think NES (Nintendo Entertain- ment System, Family computer) released in 1984 was the first computer. It became very popular worldwide rapidly. Super NES, Play Station (SONY) were released in 1990 and 1994, respectively. At that time, issues of software developments was limit of memory. ROM (Read only Memory) was very expensive. For example, the first RPG, Dragon Quest, released in 1986 was provided by only 64KB. It was amazingly just 64KB. If you take a photo on iPhone, one shot is larger than that. In 1995, we all recognize internet revolution by Windows95 and Yahoo!. So did we. Before those launches, most of us did not understand how to use Internet. In 1997, Google appeared. We had gotten a wing to fly Internet. But it was not easy. The only way to get connection with Internet was dial up. Its connection speed was only 28.8Kbps. Although internet is new generation of technology, all were inconvenient. The first broadband called ADLS (Asymmetric Digital Subscriber Line) was introduced by Yahoo! Japan, a group of SoftBank in 2001. They provided ADSL modem by free to consumer. Internet connection speed became fast to 2MB to 4MB. We may say that it was the first freemium economy on Internet. Simultaneously, CPU performance was improved for example, from 150MHz of Pentium in 1996 to 1.3GHz of Celeron in 2002. Gradually, we are able to do various things on Internet. In 2004, Facebook was released. No like button at the beginning absolutely. No function of posts, share, nor message. All users can do is only post one photo and input their occu- pation for example name, birthday, grades only. Facebook has released free function one by one in line with the development of Internet. In 2006, the word of Web2.0 was paid attention to. Its keyword was free. As of 2019, most of people think it is normal. It is surprising that posting text, photo, or video on social network services are free. If you post a single video, you would consume 10MB. Its size is similar with the size of 100 games on NES. Business model of Web2.0 players is advertisement model. First of all they need to gather users, views, and impressions. That is why they provide their services by free to get impressions more. In addition, they had to provide functions that users can not help but use. The first one was like button released in 2010 on Facebook. Since they need impressions more, users can click it unlimitedly. Most of all functions are free and unlimited. Is it good features of Web2.0 services. However, it is also harmful function ironically. It lead rapid expansion and social changes. Arab spring in 2010 was said to be brought by SNS. It also caused large amount of fake contents and excessive criticism. Web2.0 model is approaching a corner. We believe that it is time to re-build the current social web. We have an idea to solve these issues. It is bajji. II. SERVICE CONCEPT OF BAJJI A. Visualization of trust BAJJI is a new generation of SNS using blockchain technology. What we are trying to do is visualize trust between people. For the last five years, variety of C2C services like Uber, Airbnb and Mercari have been appeared. We become to be able to select someone we do not know on those platform. Why we could choose someone? On Uber, it sounds dangerous you can take a ride on a car which driver you do not know. You can stay somewhere even though you do not meet with its host. Why we could select unknown person? It is because we see rating. You just check its rating. On such apps, rating of drivers, hosts, or providers are disclosed. When you take a cab on Uber, you do not see drivers basically. What you see is only rating. It is just number. Once you get off the car, you can not tell name of the driver any more. Rating is a kind of credit. Credit is built by past perfor- mance. Most of all C2C services rely on rating. One says that we entered big data era. However, no data regarding to trust is stored yet. Trust is built by reputation or expectation gained from family, friends, or colleagues. It is also established by honest behavior. Once such trust data of each person is stacked one by one on SNS, we never see fake news nor excessive criticism. Visualization of trust will lead to solve big issues on the current social web. Since one’s trust is built by others, visualization of trust would be deterrent to go wrong. bajji is named after a badge which is symbol of trust. A badge is used for lawyer, police, and member of parliament etc. Our service concept is giving bajji as symbol of your trust to someone you would like to convey your mind or sympathy. Its transaction is recorded on blockchain which will be never tampered. Important thing is that bajji is limited. It is not free nor unlimited. New users on bajji will receive 30 (to be fixed) bajji only first. Since it is limited, users have to consider to use it. As a result, the number of bajji you received will stand for your trust from others. B. Backgrounds of designing bajji services Our vision for bajji is building trust-based world through blockchain technology and providing innovative services to TABLE II CREDIT AND TRUST Credit Trust Honestly rating Reputation Expectation
  3. BAJJI, VERSION 2019.6.11 3 Fig. 1. Business model change the

    world better in blockchain revolution which have started from a paper[6]. Before discussion of bajji, flow of times need to be explained. To understand blockchain revo- lution, industrial revolution need to be understood. The 18th century saw the industrial revolution. It continued to late of the 20th century. Especially from late of the 19th century, many industries worldwide evolved and expanded rapidly. Purpose of each industry was providing products people do not own yet. It was an era that we do not have enough products for convenient life like TV, washing machine, and cars, etc. Mass production itself was social revolution. The bigger company, the more innovation they can provide. That is why people thought where they should work. Where they are is the most important thing. It was a key for innovation. Once mass production system is completed, what they need is improve process as good as possible. Fineness and diligence need to be necessary. Since most of Japanese and Japanese company are good at them. 70% of Forbes Top 100 companies in the world on 1980’s were Japanese company. But we are sorry that we can not see it any more now. Late of the 20th century, we saw IT revolution. It had began by Windows95 and Yahoo! in 1995. One read articles about IT revolution a lot during 1991 to 1994. But they did not understand what it was correctly. We can not imagine it. It was because IT was totally different from existing world. Once we began to use both Windows95 and Yahoo!, we gradually understood Internet. We could develop services instantly using IT which could change society dramatically. Small start but we could make it big fast. Now we have GAFA (Google, Amazon, Facebook, and Apple) and Microsoft. They became quite large after 1995. Other than those, we have innovative services like Twitter, Instagram, Whatsapp, LINE, TikTok, Uber, Lyft, Alibaba, Airbnb, etc. Those IT services giants born in the 21st century. What those companies provides is a service which people do not experience before. In industrial revolution, companies provides products people do not have. In IT revolution, companies provide services through IT which people have not experienced yet. Those two revolution is actually the same structure. That is why it was important what we should do and what we should focus on instead of where we are. It is because we can make a service large quite rapidly. We could start it ourselves from nothing. It would be more exciting and meaningful for society. What we do became more important than where we are. Era of Web2.0 from 2004, thanks for free & unlimited, such services lead us to the current world. Now we have more than 2 billion connection on Internet. From now on, one says we will encounter blockchain revolution, AI revolution, Web3.0, or personal age. Personal age is an era that each individual has more power of information dissemination ability and could change society by coding. As mentioned previous section, we now could choose someone you have not met before on C2C services. It is because choosing cab, selecting beds, or ordering second hand staff are simple task. We can not select anyone we have not met with if we ask them quite important request. From now on, we could find such a person who we could ask anything before meeting in real. We could sense he/she would be trustworthy person for us or not. Since more than 2 billion
  4. BAJJI, VERSION 2019.6.11 4 person are connected now on the

    web, we suppose to find a person we are really looking for much easier. Collaboration between individual could bring social revolution much faster and larger than ever. In the next era, with whom we are together would be most important. A platform for such era will be desired. We bajji is looking for a leadeing company who will do social innovation in the era. C. Business model of bajji To achieve our vision, we designed two functions on bajji. The first is encount (named after from encounter), the second is giving/receiving bajji. Key concept is antithesis to free and unlimited. Button of encount is for a button that you meet with someone. The button is available only you meet with him/her in person. It is controlled by geographic data. Although encount button is unlimited, you can not click it only you take action to meet in real. Transaction of encount is stored on blockchain. Click encount is free as long as you meet someone in real. Regarding to bajji, it is limited. Users get only 30 (to be fixed) pieces when they registered their accounts on bajji. Since it is limited, users will consider whom they would give. Once it runs out, users would need to purchase or do some tasks to gain. bajji is symbol of trust or sympathy. The number of bajji received stands for how much they are reliable. The transaction of bajji is also stored on blockchain. To maintain fair social connection on bajji, the above two functions are designed. In addition, some incentive model would be needed to make users access bajji everyday like almost all DApps do. It is part of blockchain revolution. Actually, I, Noritaka Kobayashi had conducted ICO in July 2016 to create DApps for video advertisement market[4]. It was video ads platform where users could earn cryptocurrency once they finished to watch the video ads. Advertisers sets budget on the video and they would pay to viewers directly as long as the viewers saw it completely. Viewers would have incentive to watch it even it is an ads because they have chance to earn. The Apps was released on February 2017, its coin listed on March 2017. We have operated the DApp and exchange for more than two years. What we found that there is difficulties on token economy. It is explained from three angle of views. The first is service providers, the second is coin’s core contributors, and the last is exchange providers. Difficulties 1) The most important mission of service providers who operate DApps is getting new users as many as possible, as soon as possible for monetize. Getting coins/token during users playing DApps is a key incentive. That is why it is called token economy. However, if coins’ volatility is high, it would be difficult for service providers to appeal coin incentive for users. For example, if coin price drop after provider appealed development of coin as incentive, they have to redesign marketing strategies. On social game of Web2.0, it is called free to play. Almost all social games are free initially. However providers tried to get jealous users to play and make them purchase items inside the game to proceed. As a result, users paid a lot. One of the best function (for providers only) is Gacha. It is similar with slot machine. Users need to pay 5 dollars or thereabout to draw gacha to get new item. Some paid hundreds dollars a month. It became social issues in Japan 2012 because it is too high gambling. Although social game giants like GREE and DeNA have achieved quite rapid growth, their Apps would be suspended due to new regulation to prevent gambling risk. It was free to play but its actual model was free to play for making spend more. There were such a ground, when we see incentive model in token economy, users felt it sounds great. One can say that it is earn to play model. We could earn during play new type of Apps instead of wasting precious money to purchase game items. It looks ideal model but there are also issues. As mentioned, volatility of coins/token affects not only users behavior but also providers’ marketing strategies. If growth strategies of providers rely on development of coins, they have to monitor two things which are service growth and coin development. It looks similar but it is quite different from each other. In early stage of new type of Apps, users are tend to be geeks or marketers. In early stage of DApps, users are investors who love speculation. Their concern is price increase. They do not care service growth very much as long as price is increasing. User increase is not always proportional relationship with price increase actually. Even with only service growth itself is very tough mission. It is needless to say that it would be tremendously difficult to control both service growth and price increase. Difficulties 2) Core contributors of coin always think two things which are price increasing and make coin as good as possible as cryptocurrency. As cryptocurrecy, minor or major update will be considered and be proceeded. It sometimes has nothing with its DApps. DApps providers have to catch up its update for their apps even though it is undesirable. If the coin is decentralized public chain, some miner will try to change specifications of coins. Hard fork often happens if core contributors agree. Those movement will be proceeded based on by thought of miners or core contributors. It sometimes happen to prevent growth of DApps. Difficulties 3) The last angle of views are exchange providers. It is also said financial service providers. Cryptocur- rency is now rename to crypto asset. Whichever it is called, services using it is financial one. They have to follow financial regulation strictly in each country. It is because cryptocurrency exchange is quite similar with stock exchange market or FX market. Sending crypto asset is also similar with a bank. Those who provide exchange, payment, or sending functions of crypto asset will need to follow financial regulation. On the other hand, almost all DApps are not financial services. Some are just entertainment games, some are utility apps. Basically those apps do not follow financial regulation. Those are not new services by banks but need to follow rules for banks. Taking those difficulties into consideration, incentive model of bajji is designed as follows. bajji is not a crypto asset nor token could be tradable. We utilize blockchain for recoding data and keeping data transparent only. Since the number of encount and the number of bajji given/received would stand
  5. BAJJI, VERSION 2019.6.11 5 Fig. 2. Undirected graph(left) and weighted

    directed graph(right) for one’s trust, trust score can be calculated by using data of encount and bajji on blockchain. We call it bajji score. The higher bajji score, the more we could say that they have contributed to the society. bajji is on sales to users who will give it to their friends. Part of bajji revenues is kept as fund for dividing users afterward as incentive reward. The fund would be distributed to users based on bajji score. The higher score, the more reward they will gain. Model of crowdfunding was appeared in 2009. At that time, people worried about to invest on a project which unknown people will lead. Once project owner receives funds, they could control whole budget as they wish. Investors can not help but just waiting for its completion. ICO is the same structure. Once project owners received fund by cryptocurrency, they could control everything. There is no rule for information discloser nor refund. As known, fraud ICO projects were rampant. Not only on ICO, but also on crowdfunding, we encountered big issues. For example Lily drone project on crowdfunding had raised about 45 million dollars but it failed [2]. It was not just failed of development but it was revealed that their promotion video was fake. Although we relied on their honestly, they were not. Our incentive model considers those two issues. We do not apply bajji as crypto asset. bajji is not exchangeable. Incentive for users does not come by crypto asset. We do not apply initial funding model. Fund generated from bajji sales will be divided to users based on bajji score. bajji score is a result indicator. Those who have high bajji score have already received deeply trust and gave contribution so far. It would be fair competition. D. Proof of Mylife bajji score is needed to be convinced score. There is two aspects for convinced calculation. Firstly what data we use and secondly what algorithm it is applied. Regarding to data, whole data is based on blockchain of public chain. Even operating side could not falsify it. It could be said it is fair. On the other hand, algorithm of calculating score is needed to be designed carefully and will be revised openly. To design bajji score, we applied theorem of graph centrality. From users’ point of view, connection between users on social media like Facebook or Twitter, it could described as an undirected graph as shown bsi = ∑ l we ij + ∑ m ˜ wim + ∑ n ˜ wni (1) ˜ wb ij = B · ∑ k wb ijk (2) ˜ we ij = λe ij · ∑ k we ijk (3) wb ijk = µk · λb ij (4) we ijk = min ( 1, δe ijk 30 ) (5) λb ijk = exp ( ln (CPy · 365 / δb ijk ) · (1 − γij) · ∆γ ) − 1 (6) λe ij = exp ( ln (CPy · 365 / δe ij ) · (1 − γe) · ∆γ ) − 1 (7) µk = { ln (priceb k ) (if 0 < priceb k AND bk is sent) priceb k (if 0 < priceb k AND bk is received) (8) γij = { σij(1 / rsij) (if CPd < δb k ) 0 (otherwise) (9) δb ijk = { ⌊ tcurrent−tb ijk 86400 ⌋ − CPd (if 0 < δb k ) 1 (otherwise) (10) δe ij = { ⌊ tcurrent−te ij 86400 ⌋ − CPd (if 0 < δe ij ) 1 (otherwise) (11) δe ijk =    ⌊ te ijk −te ij(k−1) 86400 ⌋ (if 1 < k) ⌊ tcurrent−te ijk 86400 ⌋ (otherwise) (12) rsij = ˆ εij + B · ˆ kij δe ij (13) σij(x) = tanh ( x x + 1 ) (14) in reft of fig.2. What uses could see is only connection between users. Dot stands for a person and line does friend connection or follow/follower. On bajji, we take advantage of weighted directed graph instead as shown in right of fig.2. As for weight on graph, frequency, elapsed time, and values are considered. In this case, values stands for price of bajji users purchase. Directed arrow describes transmission relationship of bajji and encount. Assume BG is weighted directed graph of bajji community. bajji score of user i should be a dot ranking in BG which is described as bsi. Lawrence Page and Sergey Brin, who are founder of Google, have researched important dot on graph by using eigenvector centrality theorem[3]. It is called PageRank. They assume website as dots on graph. Ranking website is able to be calculated by the algorithm. Website could be linked from anywhere in the world. Eigenvector centrality of all dots of graph would be ideal idea but, regarding to connection between people, it can not be applied. We are looking for a score of trust relationship between people. We have considered degree centrality for calculating bajji score. But it does not fit for human relationship because friend relationship tend to be regionality. In arrows onBG, there are three type, the first is encount, the second is giving bajji, the last is receiving bajji. bajji score could be total amount of how many encount, giving bajji, and receiving bajji taking into regionality consideration. In addition, relationship between people will fade with time. Aging function using sigmoid curve of tanh is designed.
  6. BAJJI, VERSION 2019.6.11 6 bsi : bajji score of Ai

    (Ai : accounti) (15) rsij : relationship score between Ai and Aj (16) B : bajji constant (B = 8.8) (17) CPy : bajji critical point year (CPy = 8) (18) CPd : bajji critical point date (CPd = 88) (19) ∆γ : Aging correction (∆γ = 0.088) (20) ˆ uεi : Number of encounters between Ai and unique users (21) ˆ ugi : Number of bajjis sent from Ai to unique users (22) ˆ uri : Number of bajjis received by Ai from unique users (23) ˆ εi : Number of encounters between Ai and users (24) ˆ gi : Number of bajjis sent from Ai to users (25) ˆ ri : Number of bajjis received by Ai from users (26) ˜ wij : Sum of the value of the bajji sent from Ai to Aj (27) wijk : V alue of the bajjik sent from Ai to Aj (28) priceb k : Price of the bajjik (29) tcurrent : Current datetime [sec] (30) ˆ εij : Number of encounter between Ai and Aj (31) ˆ kij : Number of bajji send Ai to Aj (32) tb k : Datetime of the bajjik sent and received [sec] (33) te ij : Datetime of the last encounter between Ai and Aj [sec] (34) γe : Aging rate of encounter (γe = 0.0) (35) γij : Aging rate between Ai and Aj (36) δb k : Difference of days since the bajjik sent and received between Ai and Aj (37) δe ij : Difference of days since the last encountered between Ai and Aj (38) It logic comes from biochemistry trends where we could see on saturation of protein(9,13,14). We assume relationship does not fade for B days(17). bajji score of user i is cal- culated by equation from (2) to (14). We call its algorithm Proof of Mylife (PoM). It would be the initial version of PoM, it would be revised openly so that decentralized world can be kept. E. System architecture of bajji As discussion previously, we utilize blockchain for record- ing encount and bajji given/received. We have considered what blockchain would fit for our model. As the first step, we applied counterparty framework. Counterparty is a framework where we could generate token easily and broadcast message on it etc. Function of broadcasting message on blockchain is used for recording data of encount because it is bidirectional. Regarding to giving bajji, it is recorded as transaction on chain. bajji users can not touch blockchain itself through bajji apps directly. What they can manage is setting only inside apps. Whole transactions of encount and bajji given/received are set queue first before storing on blockchain. Data on blockchain is used for calculating bajji score based on PoM algorithm. Data must not be falsified from others. Since it is kept on open chain, even operating side is not able to tamper it. We could keep data fair and transparent. Transac- tions can be seen through explorer by anyone. Decentralized world should be maintained for fair calculation. That is why we use blockchain technology. We often see issues on blockchain like scalability and unde- sirable hard fork. If we have to catch up revision on blockchain for our DApps every time, it would be very difficult to manage quality of DApps. The purpose of utilizing blockchain for bajji is recording data which can not be tampered by anyone and keep data decentralized so that anyone can trace through explorer. bajji should not be rely on any specific blockchain so that we could accelerate service growth first. It can be called blockchain-free system. One see that new type of blockchain is introduced every month. Some new features of new blockchain sounds interesting. If we have millions of users on bajji in the near future, specifications of requirement for bajji will be changed definitely. It would be risk for service providers to stick to use single blockchain. It may happen that the blockchain might not be fit to the service. It is important to design whole system architecture so that blockchain could be replaced easily for services’ growth. III. CONCLUSION WE believe that bajji is the world’s first blockchain SNS which visualizes trust between users. What is blockchain revolution precisely? We capture the revolution by several angles. We could say it is incentive revolution. We are able to trace individual contribution through information on blockchain fairly. Dividing reward based on contribution does not need to rely on any giant company. It could happen thanks for decentralized blockchain network.
  7. BAJJI, VERSION 2019.6.11 7 Fig. 3. System structure of bajji

    We could say the revolution is lead us to personal age. We are able to build millions network by ourselves and could im- pact on the society within a couple of years. Some influencers have more than millions followers and they could distribute their words to the world instantly. We could approach variety of people through network to start new projects. Now we are looking for a score which could stand for how reliable they are. New transaction examination is needed for stating business with new partner. We will need similar examination for beginning relationship with others individually. We believe bajji could be one of the best choice. The bajji score can be applied not only on variety of C2C services, but also recruit agencies, banks, or almost all enterprises would begin to take advantage of it. Data of trust between people might be sensitive data. One says that no one want to disclose such relation. Some want to make it secret. However I would like to ask them several questions. How about the current social media? How about crowdfunding? In 2006, newspaper began to write articles about Web2.0, they explained that users will share their personal and private photo on portal site where anyone can see it. Most of us thought that why we have to post such private shot in public? Why does anyone we do not know can see it? What is its merit? But in 10 years, everyone rush to post their private shot to public. Not only photo, but also video. Some girls are streaming live video themselves from their room of their house to the world. Why now do we begin to disclose everything? In 2010, when crowdfunding is getting popular, most of us thought that we do not understand why we spend 100 dollars to book new products in advance by projects unknown person lead. We do not know the products can be produced or not. Most of us did not understand why you invested to the project at that time. But now we have come to think that we could find new trend or something interesting things on crowdfunding earlier than the other channel. In 2019, someone says that why we purchase bajji, which is just a mark on smartphone, to give it to our friends to convey our mind. We could give a gift of product in real instead. It sounds much attractive. They are wondering no one buys it. Most of them say so now. But we believe that most of us will stack our trust on blockchain by using bajji or on a similar type of DApps in a couple of years. We are confident that they will purchase bajji and give it to someone as a gift. It is because it is stored on blockchain to imply trust in between. Anyone can see it. If you give a personal gift, others do not sense it. Such
  8. BAJJI, VERSION 2019.6.11 8 good relationship is not stacked at

    all. In addition, most of us does not need any products actually in this sharing economy world. bajji will be a gift which does not get in the way. Pile of trust between people will lead further collaboration in the future easier. We are now trying to design new sense of values which do not exist yet now. It could be a part of next phase of capitalism. Economy would turn around by trust between people on web. It is not now because we do not have enough data yet. That is why we team bajji are now trying to build new trust-based world by blockchain technology. Do or do not, there is no try. ACKNOWLEDGMENT I want to thank you for technical advisory comments, Kouya Onodera, Makoto Fujio, and Takashi Matsukaze. Their valuable comments and support helped us to achieve security level up especially. Thank you for Jun Hamada and Akina Tada, Shin’ichi Arakawa for version up idea. APPENDIX A LOGO OF BAJJI This is logo of bajji shown in Fig.4, registered by bajji, Inc. Fig. 4. Logo of bajji APPENDIX B ABOUT BAJJI, INC. bajji, Inc. is a blockchain tech company founded by Nori- taka Kobayashi on April 2019 to provide bajji SNS. Credit Trust Corporate name bajji, Inc. Address 7F 2-35-13 Ningyocho Nihonbashi Chuo Tokyo Japan Founded April 2019. Board CEO Noritaka Kobayashi, Ph.D Corporate site corp.bajji.life Service site bajji.life Service release beta on 24th June 2019. APPENDIX C ICO We do not plan any ICO for bajji project. bajji is not cryp- tocurrency, crypto asset nor token tradable. It is a symbol of trust. bajji you received can not be sent to others. Blockchain technology is used for storing data. REFERENCES [1] Niall McCarthy, Facebook Deleted More Than 2 Billion Fake Accounts In The First Quarter Of The Year [Infographic], Forbes.com, May 24, 2019 [2] Reference information from the URL, https://www.forbes.com/sites/aarontilley/2017/01/13/lawsuit-killed- lily-robotics-drones/ [3] Lawrence Page, Sergey Brin, Rajeev Motwni, and Terry Winograd, The PageRank citation ranking: Bringing order to the web, Technical Report 1999-66, Stanford InfoLab, 1999. [4] Noritaka Kobayashi, and Yoshinobu Shijo, c0ban: a crypto currency is for advertisements and entertainment apps, c0ban white paper, v0.1, Sep. 2016. [5] Noritaka Kobayashi, Design and Evaluation of Automatic Test Genera- tion Strategies for Functional Testing of Software, Ph.D thesis, Osaka university March, 2002. [6] Satoshi Nakamoto, Bitcoin: A peer-to-peer electronic cash system, con- culted January, 2012, 2008. Noritaka Kobayashi, Ph.D Founder & CEO , bajji, Inc. (Tokyo) He received Ph.D in Computer Science from Os- aka University, 2002[5]. His major was distributed computing and software test efficiency. After gradu- ation, he worked as a business consultant at Nomura Research Institute, Ltd. for nine years and business development executive at GREE Inc. for two years. He was engaged in starting up new businesses in IT & mobile as well as M&A. He established Diixi Pte.Ltd in 2012 and Yourwifi Pte.Ltd. in 2013 both in Singapore to acquire Asian market. The CHAOS ASIA which is an innovative pitch event, was produced by him in 5 cities world wide. He was selected as Asian entrepreneur by AsianEntrepreneur.org in 2015. Certified from Columbia business school, executive education program in 2008. He is also an associate professor at Business Breakthrough university since 2010. He gives lectures of ”block chain and Fintech” there from April, 2017. Founded LastRoots on June 2016, conducted ICO which was the first one in Japan[4]. He succeeded to fundraise 6 million USD on the ICO. His coin called c0ban was listed on March 2017, its market cap was more than 300 million on January 2018. Koya Onodera CTO, bajji, Inc. (Tokyo) He graduated Meiji university. He founded start-up himself during students and specialized of front- end development. While he worked as free-lance engineer, he encountered with Kobayashi an joined LastRoots, Inc. on September 2016. He managed to develop video platform web application and its dashboard system. He see the future on blockchain revolution, he decided to join bajji, Inc. on May 2019. Makoto Fujio CBO(Chief Blockchain Officer), bajji, Inc. (Tokyo) He graduated of Department of Engineering Science of Osaka University in 2011. After that, he joined Fuji Xerox Co., Ltd. as an engineer. He encountered blockchain and bitcoin by chance in 2017. Since then he focused on its research and development. Since he sees forecast of blockchain revolution, he joined LastRoots and led blockchain tech team. Since Kobayashi started another blockchain tech company called bajji, he decided to join.