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We're Taking The World's Most Powerful Social Media Dashboard to the Blockchain Where it Belongs.

Team Connections

ADRIAN ROSENBUSCH, is Cutman at Las Vegas Cutman

CHRISTOPHER KRAMER

FOUNDER/ CEO- ONENAME GLOBAL INC.

ADRIAN ROSENBUSCH

CHIEF VISIONARY OFFICER- ONENAME GLOBAL INC.

LARRY CHRISTOPHER BATES

CHIEF ICO OFFICER ONG-COIN

ALEX LASAREV

CHIEF MARKETING OFFICER-ONG.SOCIAL

JAY HULL

ADVISOR- ONENAME GLOBAL INC. CHIEF INNOVATION PARTNER DAVIS WRIGHT TREMAINE LLP

PETER BUSS

ADVISOR ONENAME GLOBAL INC. PARTNER, KS&CO LLP

STEVEN KRAHNKE

ADVISOR TO ONENAME GLOBAL INC., DIRECTOR, NATIONAL PROGRAM DEVELOPMENT AT INDIANA UNIVERSITY, WTIU PBS

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In Crypto, community matters
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Joined April 2013

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Whitepaper

Overview of onG.social

 onG.social is the first social dashboard to incentivize community members with cryptocurrency rewards, allowing anyone to streamline social media while maximizing speed of ROI. The dashboard allows users to connect, create, consume and distribute information to centralized "status quo" social networks and decentralized social networks, creating a bridge to both. This provides users with simplicity and overall control of their digital identities. Combined with flexible tools that allow community members to be rewarded with multiple cryptocurrency rewards, onG altogether changes the landscape of social media.  onG.social allows you to maintain the status quo in a centralized social media world, yet puts you in control so you'll never have to worry about losing a channel or monetization and with a publicly verified blockchain, you'll never be censored or shut down!  Furthermore, onG.social supports community building and social interaction, therefore users can connect with one another on an encrypted network without limits. This means that you can connect to as many (or as few) people as you want to in an environment that can never be shut down or censored and that lets you control all your encrypted data.

 The Gravity algorithm is designed to incentivize community interaction, truth verification, up voting, sharing, content curation and measure the overall global impact for each post to social media.  Like a reputation score, the Gravity score for each person will vary the influence, impact and overall weight applied by the Gravity algorithm for each participant as their score increases or decreases and/or according to the scores of those voting/verifying accuracy of a post.

The First Incentivized Social Dashboard For The Block Chain A decentralized social dashboard creates a bridge to all existing (centralized) social networks and decentralized social networks enabling users to connect, consume, create and distribute information in a way that gives each user ultimate control over their information, social channel(s), privacy, and data encryption. Users will see all existing social feeds (Social Feed Aggregation) and be able to distribute content with ease without completely abandoning the existing systems already in place, while taking advantage of onG's decentralized P2P social network- a network without limits - where your audience will always be able to access your channel, content and information without censorship or limitations.

Community Consensus
In understanding the gap in the market that onG is looking to fill, it is important to give an analysis of the market itself, and of the social landscape. Pew research polls have identified 6 specific types of social media networks that have predictable behavior patterns on Twitter. This information allows onG to formulate the Gravity algorithm based on the behavior patterns associated with these models. Instead of trying to control behavior, the Gravity algorithm seeks to observe and enable the natural behaviors of the crowd. One of the biggest issues with top- down algorithms is that they become channels for unilateral viewpoints, and ultimately the inability to respond to the social psyche can cause an algorithm to fall out of use (Myspace).

Literature Review and Competition Analysis
The following charts and definitions give context for these networks:
Chart 1 From Pew Research Poll A decentralized social dashboard creates a bridge to all existing (centralized) social networks and decentralized social networks enabling users to connect, consume, create and distribute information in a way that gives each user ultimate control over their information, social channel(s), privacy, and data encryption. Users will see all existing social feeds (Social Feed Aggregation) and be able to distribute content with ease without completely abandoning the existing systems already in place, while taking advantage of onG's decentralized P2P social network- a network without limits - where your audience will always be able to access your channel, content and information without censorship or limitations.

Community Consensus
In understanding the gap in the market that onG is looking to fill, it is important to give an analysis of the market itself, and of the social landscape. Pew research polls have identified 6 specific types of social media networks that have predictable behavior patterns on Twitter. This information allows onG to formulate the Gravity algorithm based on the behavior patterns associated with these models. Instead of trying to control behavior, the Gravity algorithm seeks to observe and enable the natural behaviors of the crowd. One of the biggest issues with top- down algorithms is that they become channels for unilateral viewpoints, and ultimately the inability to respond to the social psyche can cause an algorithm to fall out of use (Myspace). Literature Review and Competition Analysis The following charts and definitions give context for these networks:

Chart 1 From Pew Research Poll
A decentralized social dashboard creates a bridge to all existing (centralized) social networks and decentralized social networks enabling users to connect, consume, create and distribute information in a way that gives each user ultimate control over their information, social channel(s), privacy, and data encryption. Users will see all existing social feeds (Social Feed Aggregation) and be able to distribute content with ease without completely abandoning the existing systems already in place, while taking advantage of onG's decentralized P2P social network- a network without limits - where your audience will always be able to access your channel, content and information without censorship or limitations.

Community Consensus
In understanding the gap in the market that onG is looking to fill, it is important to give an analysis of the market itself, and of the social landscape. Pew research polls have identified 6 specific types of social media networks that have predictable behavior patterns on Twitter. This information allows onG to formulate the Gravity algorithm based on the behavior patterns associated with these models. Instead of trying to control behavior, the Gravity algorithm seeks to observe and enable the natural behaviors of the crowd. One of the biggest issues with top- down algorithms is that they become channels for unilateral viewpoints, and ultimately the inability to respond to the social psyche can cause an algorithm to fall out of use (Myspace). Literature Review and Competition Analysis The following charts and definitions give context for these networks: Chart 1 From Pew Research Poll

Definitions from MGD Marketing –
 Polarized Crowd: Pew found polarized discussions feature two big and dense groups that have few connections/interactions with each other. The topics being discussed are often divisive and/or political. Even if the groups are focused on the same topic, there is little crossover. The groups—for example, liberals and conservatives—don’t argue with each other, they just ignore each other. They even point to different Web resources and use different hashtags.  Tight Crowd: These types of groups are characterized primarily by conversations among a number of highly interconnected people with few outside participants. For example, many conferences, professional topics, and hobby groups take on this structure.  Brand Clusters: These groups occur when disconnected people comment on well-known products, services, or subjects (such as celebrities) on Twitter. These fragmented populations all tweet about the same topic but not to each other. Pew found the larger the population talking about a brand, the less likely it is that participants are connected to one another.  Community Clusters: This structure emerges when popular topics develop multiple smaller groups, which often form around a few hubs, each with its own audience, influencers, and sources of information. These conversations have a number of separated clusters; for example, when global news stories attract coverage from many news outlets, each with its own following.  Broadcast Network: This is the hub-and-spoke structure where Twitter commentary from well- known outlets and pundits is repeated by others. The members of the Broadcast Network audience are often connected by the initial source, and not connected to one another. That said, sometimes there are smaller groups of densely connected people (“subject groupies,” as Pew puts it) who do discuss with one another.  Support Network: This occurs in situations when businesses tackle customer issues around their products and services. The interactions produce a hub-and-spoke structure that is different from the Broadcast Network pattern because the hub account replies to many otherwise disconnected users, creating outward spokes.

There are currently companies that make use of the network data, and create graphic representations of the data. While these tools exist, they are not comprehensive for getting to the actual content being analyzed. The analysis is the meta-data layer representing the social network, but the data layer does not allow a user to access the actual media being analyzed. In many ways, this is to protect the privacy of content creators. On the one hand, if content creators have too much meta-data available, their identities could be compromised for purposes of theft. On the other hand, the demand of creating a successful product requires public interaction if social media is involved, and in that case there is an assumed voluntary shedding of at least some level of privacy.

This is where onG wants to allow users to maximize their online presence, make the best of meta-data that is available, share in the ad-revenue that is driving the industries, and most important protect the users’ sensitive data. A combination of encrypted digital tokens encrypted messaging, and decentralized networking will allow onG to accomplish all of these things without imposing restrictive or overreaching algorithms.

In an example, a user would be able to look at the multiple layers of activity happening in social media. Currently one of the biggest players is Affino. Their models show social media breakdown of trending topics and how the respective clusters connect.

Chart 2 From Affino.com
encrypted messaging, and decentralized networking will allow onG to accomplish all of these things without imposing restrictive or overreaching algorithms. In an example, a user would be able to look at the multiple layers of activity happening in social media. Currently one of the biggest players is Affino. Their models show social media breakdown of trending topics and how the respective clusters connect.

Gravity Algorithm
The Gravity™ algorithm is designed to calculate the weight of content and other contributions made by community members. Taking the lead from the Unified Theory Model, the concept is utilizing what has been described by Malcolm Gladwell as “stickiness” in media, or the capacity for a piece of media to attract attention and attempting to compare the “stickiness” to what could be described as “gravitational force” of an object.

It has been described as “viral” or creating a “network effect” in the sense of being able to attract a large number of audience members in a short amount of time. The more amount of people in the audience in the least amount of time (G-Force), the more Gravity something has. This concept is meant to not only articulate within a network what leads to something going “viral”, but this system attempts to quantify weight, speed, and relationships definitions based on the subsequent usage by content producers and consumers.

The system will not treat all Gravity as being equal. There is positive and negative gravity. In this case, the system will be designed to give preferential rewards to positive gravity, but not to punish negative gravity. This is a method in which users are incentivized to put out content that the crowd rates as “positive” using upvote mechanisms, while not silencing or punishing those that receive more “downvotes” or negative gravity.

Gravity Score And Credential Verification
As onG has already integrated with LinkedIn, users that choose to combine a higher level of AML/KYC standards by offering resumes and Academia profiles can receive higher Gravity Scores for identity and experience verification. Like a reputation score, the Gravity Score for each person will influence the impact and weight applied by the Gravity algorithm according to their score for those who want to verify credentials and expertise.

Gravitational Pull
G-Force
This will be the mechanism from which the impact of a piece of media is described. Having a mechanism that articulates the current G-Force of a user or article will allow for a floating metric of Gravity that is more reactive than the total “Gravity” of a contribution. In the case that something is attracting a lot of views in a short period of time, its G-Force would be much higher than periods in which it is not attracting a lot of activity. Over time, the G-Force will vary much more than the total Gravity for each work, which is the cumulative sum of a community members contribution as recognized by their peers. G-Fuel

This will be the mechanism by which a community member will vote for or against content. G- Fuel allows each member to up/down vote, promote, or boost a piece of content. Adding G- Fuel to a post will give it the potential to gain more Gravity, but it cannot be a guarantee that something will have a high Gravity, just as down voting a post cannot guarantee that it will have negative Gravity. This will allow for a diverse stream of content that does not become dominated by paid marketing, but rather will provide a mechanism for empowering community consensus, thereby allowing the crowd to dictate the Gravitational Pull of a contribution into the mainstream. Members who possess a combination of higher Gravity Scores and G-Fuel voting power will have a greater impact on the Gravitational Pull and overall Gravity of a contribution.

Get Paid For The Truth
Fact Checking
With the Gravity algorithm in place, onG will be in a unique position to offer rewards for fact- checking popular news. This will allow for a forum on onG which articles submitted will be analyzed by the general community and by those with high Gravity Scores (verified credentials) and by a special class of members who have been voted in as Gravity Specialists. This process will keep the verification of news fair as it gives anyone the chance to offer and vote on information, while giving those with higher Gravity scores and Gravity Specialists ability to offer educated and informed insight, verifying truthful information from within a field. Gravity Specialist The fact checking process will feed into the Gravity Score reputation system. Users that prove themselves to be an asset to the community will have their Gravity Scores increased over time and will be able to be voted in by the community as Gravity Specialists for added compensation. This ecosystem design will encourage Gravity Specialists to be more judicious with their assertions, and over time give them increased compensation for removing corrupt information from the social network bio-sphere.

Turning Off Negative Gravity
In addition to being able to utilize the Gravity system to promote more positive interactions on the Internet, the platform will give users the option to turn off high points of negative gravity. This will create a filter for media with “negative gravity” as rated by the users. Giving the users the option to “turn it off” is putting the power into the users’ hands, and not censoring legal content that simply gets downvoted.

Gaming The System: Threat Abatement and Response
The system design is focused on achieving a Perfect Bayesian Equilibrium. This is a combination of achieving the Nash Equilibrium while also attending to the subsequent Braess Paradox. In game theory, the Perfect Bayesian Equilibrium addresses all of the aspects of human nature, and allows them all to function within the system and win without harming another player.

Another issue that the Equilibrium takes into account is that there will always be at least one player trying to game the system. Within the world of cryptocurrency, this could be known as a Sybil attack, a man-in-the-middle attack, an attack like Antbleed, or even keyloggers and phishing scams can be employed to game a system. The onG team is constantly learning the newest threats for social networks and blockchains, including social engineering threats that are one of the largest dangers currently. The team plans to do periodic penetration and spamming tests on the network to address potential for gaming, and then apply periodic updates. This will follow the traditional Software Development Life Cycle, while allowing for agile development that is necessary in the blockchain environment.

Troll Tracking And Fake News With all of the metadata that is available, users and content with consistently high negative Gravity Scores will be labeled as trolls. This is not meant to reward the trolls, and as well this is not meant to punish the trolls. This will allow those in the community to have a “troll off” option that will effectively filter these users and media that have consistently been down voted on by the community or labeled as "fake news".

It is important that this not be decided by a top-down authority or algorithm, but allow each individual the option to decide if they agree with community consensus. Any user can change their Gravity Score and reputation to positive Gravity by producing good content, which will then no longer trigger the troll label. This allows for users to earn the respect of the community back.

Ways To Contribute
This section outlines the ideas behind onG.social and the rewards for people who provide quality and quantifiable contributions to the onG.social community.

1. onG Coin
Is the network token that represents the most valuable cryptocurrency reward for participation. The onG Coin will have a finite limit, and will be distributed as network rewards for the next 20 years. Once the 20 year distribution has reached its final distribution, the oracle will continue to use G-Fuel and G-Bucks to pay out rewards. 300 million total onG Coins distributed over 20 years via both Waves and Ethereum Blockchains as follows:

Source: MobileGo
-70 million onG Coins will be sold during ICO -50 million onG Coins will be held and later sold directly to advertisers to fund reserves at $1.00USD/onG Coin or if market value exceeds $1.00USD that price will prevail. -30 million onG Coins will be set in reserve and held by OneName Global, Inc. for future distribution to founders and employees. This is about 1/2 as much as other ICO's hold in reserve on average.

-150 million onG Coins will be included in the distribution oracle for 20 year distribution to the community (7300 Days, 20,547.9 onG Coins/day).

Technical Specifications
The token has a fixed supply of 300 million tokens with the full supply created on both blockchains. Tokens purchased in ETH will be released to users' wallets on the Ethereum blockchain, with the balance being locked in smart contract. Tokens purchased in fiat, BTC and WAVES will be released on the WAVES blockchain, with the balance locked in a WAVES wallet. As such, the balance of the ETH smart contract is equal to the liquidity of the WAVES tokens, and the balance of the WAVES locked wallet is equal to the liquidity of the ETH token. At any point that an ETH token holder wants to convert a ETH onG Coin for a WAVES token, they send a WAVES address and their ETH tokens to the smart contract, locking the ETH tokens and releasing the corresponding WAVES token by sending them to the nominated address. Likewise, if a waves token holder wants to move his token onto the ETH blockchain they visit the web interface, nominate an ETH address and send WAVES token to the locked wallet. The ETH token is forwarded immediately.