Dynamically Distributed Democracy (DDD) uses a social network data structure as a means of a creating a 'holographic' model of the voting behavior of the whole group within any subset of the population that is actively participating in the group's voting process. The algorithm gracefully degrades as user participation wanes. With only one participant, DDD is a tyranny. With everyone participating, DDD is a direct democracy. DDD was developed to remove the necessity for a predetermined representative body in democratic societies. A social network is a social structure made of nodes which are generally individuals or organizations. ... This page is about the religious concept of Tyranny. ... Direct democracy, classically termed pure democracy,[1] comprises a form of democracy and theory of civics wherein sovereignty is lodged in the assembly of all citizens who choose to participate. ...

The Single-Domain DDD Model

DDD is a recurrsive network-based energy distribution algorithm intended to be implemented within an electronic governance framework. The algorithm requires a trust-based social network and a energy propagation algorithm. Both components are described in the following subsections.

Trust-Based Social Network

Individuals in a popualation create a trust-based social network where a trust edge from indivudal A to individual B states that indivdual A believes B is "good" at making decisions (Rodriguez & Steinbock 2004). Thus, the directed edge A --> B is created in the social network. The social network serves as the substrate for the distribution of vote power/energy during group decision making processes.

Recurssive Energy Distribution Algorithm

Every individual in the group is supplied with an equal amount vote power. This vote power is then used to vote on a particular option/solution for a particular issue/problem (e.g. one man/one vote). However, if an individual is unable to participate, or chooses to abstain from participation, then his or her vote power is distributed to his or her nearest neighbors one-step away in the social network. If that neighbor is not actively participating (is not voting on the particular issue), then the vote power continues to propagate until it finds a sink node (an actively voting participant on that issue). Those with more vote power have more influence in the current decision making process of the group. Thus, as user participation ebbs and flows, vote power is dynamically distributed throughout the population. As demonstrated in (Rodriguez & Steinbock 2004), the algorithm is able to simulate full participation (direct democracy) as individual participation wanes.

The Multi-Domain DDD Model

In (Rodriguez 2007), a model for domain-specific trust is presented. The idea capitalizes on the collaborative tagging models of current folksonomy research. Individuals in the collective are able to tag their trusted acquaintances with a label that represents conceptual domain for which they trust that individual in. For example, if individual A believes B is "good" at making decisions within the domain of x then the edge A -- x --> B is created in the domain-based social network. Individual A can have any number of domain labeled edges projecting to B. Collaborative tagging is regarded as democratic folksonomy metadata generation, i. ... A folksonomy is a collaboratively generated, open-ended labeling system that enables Internet users to categorize content such as Web pages, online photographs, and Web links. ...

In this manner, a multi-relational network, or semantic network, is generated between individuals where the directed semantic relationship identifies one's trust for another within a particular domain. Furthermore, individuals are able to tag issues according to their subjective understanding of the domain of the issues. For example, A may categorize issue I as being in domain x. Thus, the edge A -- x --> I is created outgoing from the social network and into the artifact network (issue/option network). When a particular issue is up for decision, vote energy propagates from non-active voters to active voters along those semantic edges for which the issue as been collectively categorized as. That is, if the issue is tagged x,y, and z then vote power propagates from inactive individuals to active individuals by means of the semantic edges x,y, and z. A semantic network is often used as a form of knowledge representation. ...

References

• The general principle and holographic aspect of DDD is presented in:

• An indepth review of the multi-domain DDD model is presented in:

• DDD was designed by Marko A. Rodriguez and Daniel J. Steinbock.