How it Works

How BGorg Works?

BGorg works pretty much like any standard social networks. You sign up, create a profile and then you start posting your content and interact with other members of the network. In time, as you grow your audience, you, like all other members, will be part of a large like-minded community. But BGorg is more than standard social networks, so let us explain some of its unique features that make it an outstanding experiment.

Mutual Member Growth BGorg uses a Mutual Member

Growth system function to make sure that all members grow mutually and that there is not a sharp disproportion among the members in terms of following and interaction. The logic of this system works on the principal of mutuality and is simple to understand; if you contribute to the community, you also deserve to get a contribution. For example, if you posted, liked or shared something, or followed a member, you should also get the similar from the network audience. But on most social networks of today, it is somewhat touching and heartbreaking to see some members have huge followers and interactions, while others, and that is generally the most majority, barely have tiny following. So we, as BGorg, assume the responsibility to make sure that all our members grow together.

Bartering Principle
So, to achieve the above goal of Mutual Member Growth, our algorithm conducts a number of calculations and recordings. As a user, whenever you do an action, let's say when you follow a member, or like, share and comment a post, the algorithm rewards you with certain credits. The value of a credit is equal to the action; to tell it in simple words, the value of a follow is a follow, of like is a like and so on. So if you followed somebody, you earn a follower credit, if you liked something, then you earn a like credit and the same goes on for all other actions. So how will these credits bring you the same interactions from other members? Our algorithm will keep displaying your profile and posts until you get the credited interactions from other members. So this is our Bartering Principle and with this principle you can almost be sure that all your actions on the network will be rewarded with the same, or maybe even more, amount actions from the network audience. What happens if you don't interact with anybody, anything? Well, if you choose to not contribute anything to the community, you should not expect anything either. As simple as that.

Founding Members Incentive
Right now, we are in those hardest times which mark any beginning! We have just started our new social network and there are not that many members yet. We could, of course, populate the network with a huge number of fake profiles so that the atmosphere seems a bit crowded. But we are determined to refrain from such unethical methods. Instead, we will wait for our destiny in patience! It is therefore, we have set some incentives and advantages for the first members of our social network. We will call them as the Founding Members and as longer as the network exists, they will always have some advantages over the regular members. By signing up at a new social network and thus investing trust with us, perhaps they deserve some privilege. The Founding Members will be the first 2000 members.

Democratic Algorithm
Most of the current social network algorithms are based somewhat on the principle of power: the strongest gets the most! Meaning, whoever has most followers or friends, will be heard most. This is of course very unfair and it is the very reason why social media filled up with a few noisy influencers and hundreds of millions of voiceless users. So BGorg's Democratic Algorithm will make sure that all network members will get their share of attention from the whole network and that every network member is heard.

Transparent Algorithm
On the other hand, we will be completely transparent with our algorithm and functions. In fact, functions and algorithms of current social networks are the biggest secrets of our times! Nobody knows anything about them. In these days of ever-open societies, perhaps the members of any network have the right to know, and furthermore, to have a say on these functions and algorithms. Ins this context, our Transparent Function Use principle will make sure that all the members know about our basic algorithms and functions. In addition, we will consult the whole network members when we need to make changes on the algorithms so that the network community knows what is going on.