Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Ren-De Li"'
Publikováno v:
Frontiers in Physics, Vol 11 (2023)
Nowadays, Study of comments in MicroBlog online public opinion is of great significance for relevant departments in managing public opinion, due to the increasing influence of online public opinion on the Internet. This paper presents a method for st
Externí odkaz:
https://doaj.org/article/bccdf12930b4421d8405a9b57733a749
Publikováno v:
Frontiers in Physics, Vol 10 (2022)
Event detection plays a crucial role in social media analysis, which usually concludes sub-event detection and correlation. In this article, we present a method for reconstructing the unfolding sub-event relations in terms of external expert knowledg
Externí odkaz:
https://doaj.org/article/a37a0aa3d0b74163a9bd9ca411cb700f
Publikováno v:
Journal of Safety Science and Resilience, Vol 1, Iss 1, Pp 36-43 (2020)
Entity perception of ambiguous user comments is a critical problem of target identification for huge amount of public opinions. In this paper, a Two-Step-Matching method is proposed to identify the precise target entity from multiple entities mention
Externí odkaz:
https://doaj.org/article/bf3486ad18e74d3abea8eda850d6cc25
Publikováno v:
Chaos (Woodbury, N.Y.). 31(3)
The structure of a social network plays a crucial role for dynamic analysis, which is invisible in most scenes. In this paper, we present a model for reconstructing the social network by taking into account the public opinion diffusion dynamic model
Publikováno v:
Chaos: An Interdisciplinary Journal of Nonlinear Science. 32:053127
User opinion affects the performance of network reconstruction greatly since it plays a crucial role in the network structure. In this paper, we present a novel model for reconstructing the social network with community structure by taking into accou
Publikováno v:
Journal of Safety Science and Resilience
Journal of Safety Science and Resilience, Vol 1, Iss 1, Pp 36-43 (2020)
Journal of Safety Science and Resilience, Vol 1, Iss 1, Pp 36-43 (2020)
Highlights • A Two-Step-Matching method is designed to identify the precise target of Chinese entity from ambiguous user comments of public opinions. • BiLSTM-CRF model is used to extract potential entity and TF-IDF model is used to extract chara
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 508:254-264
Investigating the dynamics of long-term memory in online rating behaviors is significant for understanding the evolution mechanism of collective behaviors and trust formation for online social networks. Since users are allowed to deliver ratings in m
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 508:213-222
Understanding the social relation of dynamical online social networks (OSNs) is significant for identifying the strong and weak ties. In this paper, we empirically investigate the evolution characteristics of Facebook and Wiki users’ social signatu
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 499:490-497
Understanding the patterns of collective behavior in online social network (OSNs) is critical to expanding the knowledge of human behavior and tie relationship. In this paper, we investigate a specific pattern called social signature in Facebook and
Publikováno v:
Physics Letters A. 380:3460-3464
Duration can directly reflect the collective reading behaviors of library user book holding. In this paper, by introducing the burstiness and memory coefficients, we empirically investigate the collective book holding behavior of three university lib