This is more like a controlled experiment: X received information L then decided to disconnect Y; L is the cause, disconnecting Y is the effect.
Now, let us assume that the network before L had weighted nodes and arcs. Can we explain why the effect was generated? What information can we infer about X? Maybe X disconnected the link with Y because - X perceives Y as a threat - X does not trust Y - X received information in the past from Y that does not wish to receive in the future - X did not really know Y and decided to maintain connections with people/groups he/she knows well - X was threaten by L and X fears caused the effect - X knows adversarial learning and decided to inject random noise by disconnecting with random links - X and Y agreed to deceive an observer by disconnecting online - X is crazy, walk up in the morning and decided to disconnect with Y - two or more of the above if the set does not include mutually exclusive reasons Now, start from the initial belief (weights on nodes and links, and some meta data), write some simple rules/heuristics that map the meta data and weights to one or more of the above, run it! The rules need to strengthen a hypothesis on the rational of the effect based on who else X disconnected with. Bingo ... all those who initiated disconnected links (responded to L) revealed information that would have taken years of traditional social network analysis and dynamics to infer! Reliability of L does not matter, what matters is that X responded :) The real question now is, how to reconnect the network? Someone else needs to design this experiment :-) Hussein On 18/07/2013, at 8:28 AM, "Parks, Raymond" <[email protected]<mailto:[email protected]>> wrote: In a strangely related story, Mark Zuckerberg reported that Facebook had the largest amount of unfriending and blocking ever on Sunday after the Zimmerman verdict. ObComplexity: How does the dynamics of network connection breaking and making affect the analysis of networks? Ray Parks Consilient Heuristician/IDART Program Manager V: 505-844-4024 M: 505-238-9359 P: 505-951-6084 NIPR: [email protected]<mailto:[email protected]> SIPR: [email protected]<mailto:[email protected]> (send NIPR reminder) JWICS: [email protected]<mailto:[email protected]> (send NIPR reminder) On Jul 17, 2013, at 4:12 PM, [email protected]<mailto:[email protected]> wrote: Glen writes: "Lrnu, V oybpxrq rirelobql ba Snprobbx." Here's some elisp code to keep them busy: (defun annoy-nsa () (interactive) (let ((start (point))) (spook) (rot13-region start (point)))) -------------------------------------------------------------------- myhosting.com<http://myhosting.com> - Premium Microsoft® Windows® and Linux web and application hosting - http://link.myhosting.com/myhosting ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com ________________________________ THE UNIVERSITY OF NEW SOUTH WALES UNSW CANBERRA AT THE AUSTRALIAN DEFENCE FORCE ACADEMY PO Box 7916, CANBERRA BC 2610, Australia Web: http://unsw.adfa.edu.au CRICOS Provider no. 00100G This message is intended for the addressee named and may contain confidential information. If you are not the intended recipient, please delete it and notify the sender. Views expressed in this message are those of the individual sender and are not necessarily the views of UNSW. [http://www.openday.adfa.edu.au/images/openday_email_signature-2013.jpg]
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