Collaboration Catalyst Machine

摘要

Disclosed is a computer implemented Collaboration Catalyst Machine that generates supply forces and demand forces on the stimulus side and response side of user collaboration on one or more communication platforms; generating controllable collaborative magnetism between collaborators, organizations and their priorities; said collaborative magnetism influencing the focus, timing, quality, amount, consistency, and balance of collaboration without mandating the location, structure or sequence of collaboration. Collaborative Magnetism is created by digitally combining: participatory priorities, participants, acts of participation modulated into stimulus and response influence classifications, digital content from one or more communication platforms, statistical and comparative influence analysis, and participatory expectations representing employer sentiment.

主权项

1. A computer-implemented method for capturing and observing influence in participatory priority expectations. The method comprising:
Loading the assignment of users to participatory priorities within a collaboration controller; Capturing expectations to stimulate participation in participatory priorities using a computer-implemented expectation calibrator that constructs sentiment wave functions; Capturing expectations to respond to participation in participatory priorities using a computer-implemented expectation calibrator that constructs sentiment wave functions; Using a computer-implemented participatory priority influence sensor to transform user actions into stimulus and response influence structures/elements; Storing said influence elements within an influence repository; Using a computer-implemented collaboration barometer to hexangulate participatory priorities, Content, Participants, Acts of Influence, Expectations and Measures; Using a computer-implemented collaboration barometer to measure influence velocity or magnitude or rhythm or balance or life expectancy or emotive time decay Using a computer-implemented influence normalizer to apply sentiment wave functions to influence measures to determine normalized expectation sentiment values; Using a computer-implemented expectation plotter to track expectations within the influence repository; Displaying employer sentiment towards one or more users influence in stimulating and responding to participation in participatory priorities. Displaying opportunities to participate within a computer-implemented window-of-participation