Results 121 to 130 of about 6,507,474 (284)
Identification of key node groups based on motif structure and degree information
Tongxin xuebaoIn order to explore the impact of higher-order structures with smaller scales on key node group mining problems and with the goal of optimizing network propagation, a key node group recognition algorithm was proposed based on motif structure and degree ...
Yunyun YANG +3 more
doaj +2 more sources
A new stochastic diffusion model for influence maximization in social networks. [PDF]
Sci Rep, 2023 Rezvanian A, Vahidipour SM, Meybodi MR.
europepmc +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Treatment of disorders of consciousness (DoC) remains a major clinical challenge, and noninvasive, targeted modulation of deep brain structures has emerged as a promising therapeutic strategy. We aimed to evaluate the feasibility/safety and preliminary effects of thalamic temporal interference stimulation (TIS) targeting centromedian‐
Gengyao Hu +7 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Progressive brain atrophy has now been widely observed in the chronic stages of moderate–severe traumatic brain injury (msTBI), but there is only coarse information regarding its prevalence and magnitude, and whether rate of atrophy accelerates or attenuates across time. We examined these questions in a Canadian inception cohort from
Robin E. A. Green +6 more
wiley +1 more source
Research on Influence Diffusion in Social Network
大数据, 2015 With the wide spread of internet and big data research and applications,influence diffusion research in social network becomes one of the hot topics in data mining and social network analysis in recent years.The main results on social influence diffusion
Wei Chen
doaj
Straight-through and autoregressive influence estimation for influence maximization
Journal of Physics: ComplexityInfluence maximization(IM) aims to select a set of seed nodes in a social network to maximize the expected spread of information. It has long been a prominent research topic in statistical physics of social network analysis; however, traditional methods ...
Juyuan Zhang +5 more
doaj +1 more source
Identifying vital nodes for influence maximization in attributed networks. [PDF]
Sci Rep, 2022 Wang Y, Zheng Y, Liu Y.
europepmc +1 more source
Utility of the APE2 Score as a Diagnostic Tool for Autoimmune Encephalitis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To retrospectively evaluate the diagnostic performance of the Antibody Prevalence in Epilepsy and Encephalopathy (APE2) score relative to clinician‐adjudicated autoimmune encephalitis (AE) and the Graus criteria in a tertiary neuroimmunology referral cohort, including antibody‐negative AE.
Bijoya Basu +3 more
wiley +1 more source
Association Between Neurofilament Light Chain and Real‐World Ambulatory Function in Progressive MS
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Neurofilament light chain (NfL) is a biomarker of neuroaxonal injury in multiple sclerosis (MS), yet associations with functional outcomes remain unclear. Longitudinal associations between serum NfL (sNfL) and daily step count (STEPS) from wearable devices were assessed in a large international progressive MS cohort.
Gabby B. Joseph +5 more
wiley +1 more source
Backward Stochastic PDEs Related to the Utility Maximization Problem [PDF]
We study utility maximization problem for general utility functions using dynamic programming approach. We consider an incomplete financial market model, where the dynamics of asset prices are described by an Rd-valued continuous semimartingale.
Michael Mania, Revaz Tevzadze
core