File:HexOscillate.gif

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HexOscillate.gif(360 × 383 pixels, file size: 403 KB, MIME type: image/gif, looped, 13 frames, 6.5 s)

Captions

Captions

Animated hexagonal community dot-cloud, showing the attention-slice distribution of 100 community members as a function of time.

Summary

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Description
English: Each community member is assigned a unique color, and is represented by one dot in each of the six triangular projections of the 6-vertex niche-network layer-multiplicity (NNLM) simplex which unprojected inhabits a space of 5 dimensions[1][2][3][4].

The configuration is such that a shift of emphasis toward time spent buffering correlations in one of the six layers will result in a shift in the dot population of each triangle so as to create a stretch in that general direction.

In this case the shift toward layer 4 (i.e. the political/consensus layer) might have, for example, been precipitated by a single unscoped xenophobic broadcast i.e. a broadcast to all people saying bad things about a subset of those people.

The short-lived elongation results in a temporary reduction in the community's task layer multiplicity, unlike the long-term reduction that might for example accompany a natural disaster. Also in this case not everyone seems to be affected, given the relative lack of motion of some of the individual dots in this population. How do things like this affect you?

In much the same way, a highly publicized space-mission might inspire the population as a whole to put energy into layer 6 (i.e. the professional/observation layer) in the same way that a church scandal might move the population's attention toward layer 5 (i.e. the cultural/belief layer), and an article about contaminated food might move our attention toward concentration on layers 1 (self) and 3 (family).
Date
Source Own work
Author P. Fraundorf

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I, the copyright holder of this work, hereby publish it under the following license:
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  1. P. Fraundorf (2008) "The thermal roots of correlation-based complexity", Complexity 13:3, 16-26 abstract draft pdf.
  2. P. Fraundorf (2008) "A simplex model for layered niche-networks", Complexity 13:6, 29-39 abstract e-print.
  3. P. Fraundorf (2013) "Layer-multiplicity as an order-parameter for communities", arXiv:1306.5185 [physics.gen-ph].
  4. P. Fraundorf (2019) "Task layer multiplicity as a measure of community level health", Complexity 2019, 1082412, 8 pages, hal-01503096, laTeX pdf, new/earlier google sites.

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Date/TimeThumbnailDimensionsUserComment
current12:46, 27 March 2022Thumbnail for version as of 12:46, 27 March 2022360 × 383 (403 KB)Unitsphere (talk | contribs)Uploaded own work with UploadWizard

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