About: Social influence and spread dynamics in social networks

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Social influence and spread dynamics in social networks Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Social influence and spread dynamics in social networks
Creator	Zeng, Daniel Zheng, Xiaolong Wang, Fei-Yue Zhong, Yongguang
source	PMC
abstract	Social networks often serve as a critical medium for information dissemination, diffusion of epidemics, and spread of behavior, by shared activities or similarities between individuals. Recently, we have witnessed an explosion of interest in studying social influence and spread dynamics in social networks. To date, relatively little material has been provided on a comprehensive review in this field. This brief survey addresses this issue. We present the current significant empirical studies on real social systems, including network construction methods, measures of network, and newly empirical results. We then provide a concise description of some related social models from both macro- and micro-level perspectives. Due to the difficulties in combining real data and simulation data for verifying and validating real social systems, we further emphasize the current research results of computational experiments. We hope this paper can provide researchers significant insights into better understanding the characteristics of personal influence and spread patterns in large-scale social systems.
has issue date	2012-09-19(xsd:dateTime)
bibo:doi	10.1007/s11704-012-1176-1
bibo:pmid	32288945
has license	no-cc
sha1sum (hex)	fc3af23bf61954b72473fc027570b11e09daf32c
schema:url	https://doi.org/10.1007/s11704-012-1176-1
resource representing a document's title	Social influence and spread dynamics in social networks
has PubMed Central identifier	PMC7133605
has PubMed identifier	32288945
schema:publication	Front Comput Sci
resource representing a document's body	covid:fc3af23bf61954b72473fc027570b11e09daf32c#body_text
is schema:about of	named entity 'studies' named entity 'personal' named entity 'real' named entity 'social influence' named entity 'real' named entity 'EXPLOSION' named entity 'DIFFUSION' named entity 'INFORMATION DISSEMINATION' named entity 'MICRO-' named entity 'ADDRESSES' named entity 'RESULTS' named entity 'HAVE' named entity 'social models' named entity 'serve' named entity 'material' named entity 'studying' named entity 'current' named entity 'Social networks' named entity 'measures' named entity 'current research' named entity 'verifying and validating' named entity 'social networks' named entity 'social influence' named entity 'social systems' named entity 'social networks' named entity 'epidemiology' named entity 'empirical studies' named entity 'social networks' named entity 'homophily' named entity 'real-world' named entity 'social networks' named entity 'social network' named entity 'empirical observations' named entity 'social networks' named entity 'real-world' named entity 'probability' named entity 'probability' named entity 'Twitter' named entity 'weighted network' named entity 'physiological' named entity 'empirical studies' named entity 'smallworld' named entity 'exponential distribution' named entity 'probability' named entity 'weighted network' named entity 'real-world' named entity 'evolution' named entity 'experiment design' named entity 'probability' named entity 'probability' named entity 'social network' named entity 'network models' named entity 'small-world phenomenon' named entity 'social networks' named entity 'micro-level' named entity 'SIR model' named entity 'differential equations' named entity 'preferential attachment' named entity 'micro-level' named entity 'shortest path' named entity 'social systems' named entity 'BA model' named entity 'social networks' named entity 'Cascade models' named entity 'empirical results' named entity 'degree distribution' named entity 'empirical results' named entity 'clustering coefficient' named entity 'preferential attachment' named entity 'social systems' named entity 'empirical studies' named entity 'social networks' named entity 'social influence' named entity 'social networks' named entity 'word-of-mouth communication' named entity 'Email' named entity 'random graph' named entity 'verifying and validating'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software