The same techniques was applied to evaluate accuracy of the quiddity parameters (using 76 instances completely)

The introduction of classes and you can an excellent pilot precision test live 3 months, during which date the fresh codebook was modified once or twice. In order to test reliability, two programmers (graduate children) independently coded a group away from 100 at random chosen meme days (about ten% of your own take to). This new arrangement rate are examined making use of the Krippendorff ( 2004b ) decide to try, that have .66 as the minimal score to simply accept a variable as the required (Krippendorff, 2004a ). Fundamentally, a couple of details, subculture (content) and picture checklist (form) obtained an insufficient score, and you will was indeed removed from the brand new codebook, making forty-eight variables for the actual coding (Come across but in addition for the whole codebook of your simple functions during the all of our study). Immediately after reliability got dependent, all of those other try was split up between them coders.

System investigation

I operating network investigation techniques (Barabasi & Frangos, 2002 ; Newman, Barabasi, & Watts, 2006 ) in order to chart the content, participation, and mode similarities ranging from meme era as well as their cohesiveness. The actors about community was in fact the newest meme era, as well as their undirected ties was indeed the common blogs, involvement, and you may form characteristics. Such as for instance, in the event that meme occasions A beneficial and B share three general attributes into the prominent, the link would weight around three. We built around three independent undirected systems getting blogs, mode, and you may contribution, and also a network that mixes all the issues together. Aforementioned is short for the entire proximity among meme era in our attempt.

Community analysis enabled identifying by far the most main meme instances, put simply, those that mutual the best amount of articles, participation, and you will means functions with people, along with those who were a great deal more peripheral, which means got novel or rare features ( ). On the other hand, looking at the standard structure of your system, we could pick groups regarding meme period with a high cohesiveness of stuff, contribution, and mode. We are able to up coming take a look at and that meme family members had been even more cohesive than anyone else and you can tell you the hyperlink ranging from generic characteristics and you can family unit members cohesiveness.

Calculating the newest cohesiveness regarding meme parents

Architectural cohesion into the companies has actually various dimensions (White & Harary, 2001 ). We chose the most simple one, and you will compared this new links one of instances of a similar relatives with ties away from family unit members. The latest cohesiveness varying was designed to mention from what the quantity meme occasions have been the same as other days regarding exact same loved ones in regards to generic posts, involvement, and you may setting. Very first, we calculated the fresh new community education (Barabasi & Frangos, 2002 ; Newman, Barabasi, & Watts, 2006 ) of each meme for example, we.e., exactly how many preferred posts, involvement, and you will setting attributes which shared with most other occasions in the exact same members of the family and with instances off their family members. Up coming, sitios de citas árabes for each and every of the 50 meme families in our try, we computed the newest indicate level of preferred functions the instances common contained in this and you will outside the loved ones. Ultimately, the fresh cohesiveness changeable is recognized as the difference from the mean quantity of common functions within this and you can exterior an excellent meme family unit members.

Measuring the new individuality out of meme families

The latest aspect regarding individuality peak was designed to discuss just how book a great meme nearest and dearest was a student in terms of their generic posts, contribution, and you can means qualities. Quite simply, uniqueness level mirrored the new gap involving the universal attributes of good meme household members while the popular (the preferred universal properties regarding whole take to). Very first, we determined the newest portion of articles, contribution, and function functions in for every family relations; second, i computed the latest part of for each characteristic throughout the whole decide to try; last but most certainly not least, for each meme relatives, i calculated the fresh square-root of one’s sum of this new rectangular differences between the 2 (as in the formula to possess fundamental deviation). This was standardized so you’re able to range between 0 and step one, in which 1 stands for the most effective individuality from a great meme family members inside the terms of its common properties.

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