Sociophysics

Social Physics
Part A: Social optics.
Social media as a microscope and a telescope, that reveal social phenomena that were unknown so far
Part A deals with social media as the telescope and microscope of the social sciences: economics, management, sociology, history, political science, communications and so on. In a similar way that a telescope enables us to see things never seen without it (mountains on the moon, moons of other planets), so the social media allows us to see things never seen without it (wisdom of the crowds, network forces, etc.). It was the same with the microscope without which we could not know about bacteria.
The observations and data of Tych Brahe allowed Kepler to formulate new rules of movement of the stars. Together with the observations of Galileo, they allowed Newton to draft new laws in astronomy and physics, such as gravitational law. Observations on social media, as well as the kind of data analytics Google and Facebook, allow us to formulate new laws in the social sciences.
By the microscopic observations of Pasteur, one can understand in a new way phenomenon like bacteria, diseases and drugs. Discovery of bacteria through a microscope, showed that like medicine cups of wind, the thinking in biology and medicine, before the microscope, was a collection of prejudices and guesses that we used to believe, in the absence of a better theory.
The same is true in economics and history. They were before the arrival of the social media, a collection of prejudices, like "the leader" and "the genius" in history, and "the rational economic man" in economics, and more.
Social media creates a new sociology, a new history, new economy, new management theory, new media theory and more. All these new sciences are based on the discovery of new kind of power: the Info-Social power, which can be compared to the Electro-Magnetic power.
Part B: Social Electro-Magnetism.
11 basic formulas of the forces of the Info-Social power
By using social media as an observatory tool (like a telescope, or a microscope), a new theory emerge, "The Social Physic of the Social Media".
Like the Electro-Magnetic theory, we developed the new Info-Social theory, by which information moves around a person, makes him a celebrity or a brand (a social magnet). Conversely, a movement of celebrity or a brand induces a movement of information (a social current) even where no information have been there before.
Our InfoSocial theory now has eleven laws that are formulated mathematically.
Why social networks and other social phenomena such as swarms of locusts, can be described by mathematical formulas that are very similar to the mathematical formula of the electro-magnetic phenomena?
There can be two reasons:
A. There are Info-Social forces in animals, generating electricity in their bodies, some of it flows in all kinds of biological nanowires, creating electro magnets. These biological magnets are behind the similarity between the Electro-Magnetic forces and Info-Social forces. http://www.technologyreview.com/blog/arxiv/25775/?nlid=3523 http://arxiv.org/PS_cache/q-bio/pdf/0701/0701011v2.pdf
http://www.economist.com/node/17035914
B. Even if the similarity between the phenomena of electromagnetism and the phenomena of the infosocial power, are false, it does not preclude learning from the first to the second by analogy.
The eleven formula of the Info-Social theory are:
1. The information force between two MEMS (charges of knowledge), is F = I*i/R*R. Coulomb Law
File:2 influencers.JPG
2, The rate of flow of the Info - social current is P=I /t. Ampere law
3, The Conversion of info-power into social-power, and vice versa. Faraday Law. http://www.socialmediaexaminer.com/how-social-media-influence-reinstated-a-popular-facebook-page/
4, The tension of inflation - a social (power differentials between the two sources of information), as a function of volume flow (formula 2), partial resistance. V=P/T
5, the power of inflation - a social function of load information and / or social (brand, celebrity), hem acceleration. F=MA
F = (P+K)(aI+aS
http://www.helsinki.fi/filosofia/inem/methodus/pdf/v4n1/v4n1p149.pdf
6, Faster spread of information is a function of the square root of flexibility (social openness, the company's bridging capital) divided by the density (social cohesion, capital of the company link)
7, the intensity of social cohesion in situations of social change or organizational, is a function of power before the start of a partial change in temperature (heating or melting power of the Company, through the organization's dissolution, disintegration of the country, etc.). McLuhan theory about the relations between hot / cold media and hot / cold society, is very relevant here. M = C*B/T
8, The transition rate of homogeneous populations of mass-production, production companies and heterogeneity of the community - the tribes, depending on the number of participants in the wisdom of crowds (N squared / 2), effective methods of distribution (B bandwidth, censorship), and information flows between supply and demand. Is the opposite transition homogenous communities happens when a lot of small number of participants, stepped distribution go wrong, and that information between supply and demand? F=N*B*I/2
9, The social energy derived from information, is a function of temperature T, information (to identify and measure) I, and the part of the work W invested in monitoring, measurement, one-way valve (Info - social transistor). E = T*I/W
http://www.technologyreview.com/blog/arxiv/25814/?nlid=3578
http://arxiv.org/PS_cache/arxiv/pdf/1009/1009.5287v2.pdf
10, Because the acceleration in bandwidth (Gilder Law), double the acceleration of processing power (Moore's Law), the computer breaks down the into the cloud, the "the computer is the network. Schmidt Law
11, Because three previous laws, social media makes collaboration costs of consumers in the industry, or of employees in the organization, lower than management costs. Shirky Law.
Part C, Social Algorithmic
Deals with "the logic of the ant colony" that works on social networks, flocks of birds, hives of bees, neural networks, and evolution.
1, The "atoms" (ants) of a collective move randomly.
2, Each random track leaves traces (pheromones, scent marks of each ant)
3, Random detection of food is kept by the tracks
4, Sharing the discovery with the rest of the "atoms". (Premise: There is communication between the "atoms") with power rating invented. Share on Facebook is a status update, the rating is a number of responses or likes.
5, Relatively rapid evaporation of the tracks, creating optimized solution (a declining function of re-tweets or of responses to status update)
6, Creates collective wisdom from many small contributions. This is the basis for illusions like "the genius", "the leader", "ideology", "conspiracy", etc'

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