10.1325/2926064
With
the passing of Eddie Van Halen October 7 2020, pervasive social
networking portends desirable artistic, motivational persuasiveness, where
inhering refractory, commemorator-heavy
disquisition and inestimable, nonrenewable social-strengthening represent tribute and repast from the New York Times,
splayed out and variegating representations of words by particular typographic choice by ornament only, in order to design a virtual media
expression through an obituary by using online, freely accessible typography, endlessly
renewable in modern, antique, and classic form from the earliest
era of printed word to today's continually changing iterations, an
oroborous of typeface creating, rendering, then eating itself, until it self-generates that circular snake into the mouth
again, passed as 'new' again -- a typothesia, if you will, or at
least an emotional deep dive into barely sub-epidermis
whose escape the author, opposed to symbolic
metaphor aping madding tropical fly larvae, hatched in-host,
carried full gestation -- where it lives, exploring the host
in insufferable sleep-waking nights --
Then,
one evening he reads about the solution and smears the vent to its home
-- his body -- its only source of oxygen using an oleaginous unguent
whose purpose is the fly pupae's eviction in an assured egress or
suffocation, when its inborn lifeforce will find it burrowing toward
waiting pincers of steel, lilliputian vicegrip whose facility at
expiation is as effective as any wolf for squatter pigs, or landlord for
missing rent in lieu of a broken windo -- painless but traumatic --
unforgettable anthropomorphizing a musical earwig petering out some
unwanted circular loop where all brains gravitate late nights or dream
-- results demonstrate an effective method.
These
studies do not consider how overall trajectory patterns of users
change the varying living styles we propose as probabilistic
generative model to latent lifestyle-related patterns from human
trajectory data for inferring social strength.
It
can automatically learn function location with similar service
transition probabilities over functionality topics modeled as unique
transition probability matrixes over functionality topic preference
distribution lifestyles he or she select adapting contexts, learned
lifestyle-related patterns, subsequent supervised strength estimation
and link prediction.
We conduct experiments, evaluate performance of proposed methods on real-world datasets.