In recent years, with the development of the social network theories, how to find or mining the most significant node in social network for understanding or controlling the information dissemination has become a hot topic and a series of effective algorithms have been presented. In this paper, a new scheme to measure the dynamic influence of the nodes in a social network is proposed, in which the sum of trust values of the propagation nodes is used. Simulations have been carried out and the results show that our scheme is stable and accurate.
from #AlexandrosSfakianakis via Alexandros G.Sfakianakis on Inoreader http://ift.tt/2klLSDj
via IFTTT
Εγγραφή σε:
Σχόλια ανάρτησης (Atom)
Δημοφιλείς αναρτήσεις
-
Abstract Ocean acidification increases the amount of dissolved inorganic carbon (DIC) available in seawater which can benefit photosynthes...
-
IJERPH, Vol. 15, Pages 162: Examining Public Perceptions about Lead in School Drinking Water: A Mixed-Methods Analysis of Twitter Response t...
-
from #AlexandrosSfakianakis via Alexandros G.Sfakianakis on Inoreader http://ift.tt/2uz2El4 via IFTTT
-
How 70 genes could spare #breastcancer patients from unnecessary chemo: Prof Laura Vant Veer talks #Mammaprint… https://t.co/xYFIDmICtO fr...
-
Background Hyperthyroidism is associated with increased thrombotic risk. As contact system activation through formation of neutrophil extrac...
-
Liver ischemia reperfusion injury (IRI) is inevitable during transplantation and resection and is characterized by hepatocellular injury. Th...
-
Abstract Background Individualized medication reviews may improve our understanding of the distribution of CYP2C19 polymorphisms in ethn...
-
Abstract Biodegradable polymer blends of high-molecular-weight poly(3-hydroxybutyrate) (PHB) and poly(lactic acid) (PLA) are not miscible ...
-
Clinical practice of intrapulmonary lymph nodes retrieval for pathological examination varies during lung cancer surgery. This study analyze...
Δεν υπάρχουν σχόλια:
Δημοσίευση σχολίου