Information Transmission in Randomly Generated Social Networks

2020 ◽  
pp. 283-291
Author(s):  
Jeff Graham
Keyword(s):  
Social Networks ◽  
Information Transmission

scholarly journals Message self and social relevance increases intentions to share content: Correlational and causal evidence from six studies

2021 ◽  
Author(s):  
Danielle Cosme ◽  
Christin Scholz ◽  
Hang Yee Chan ◽  
Bruce P Dore ◽  
PRATEEKSHIT PANDEY ◽  
...  
Keyword(s):  
Social Networks ◽  
Information Transmission ◽  
Information Sharing ◽  
Behavioral Change ◽  
Curve Analysis ◽  
The Self ◽  
Message Content ◽  
Social Relevance ◽  
Psychological Mechanisms ◽  
Robust Evidence

Information transmission within social networks is crucial for widespread attitudinal and behavioral change. We propose that the value of sharing information increases when people perceive messages as more relevant to themselves and to people they know, resulting in stronger intentions to share. Six online studies (N participants = 3,727; messages = 362; message ratings = 30,954) showed robust evidence that perceived message self and social relevance are positively related to sharing intentions. Correlationally, self and social relevance were uniquely related to sharing intentions, both within- and between-person. Specification curve analysis revealed that the direction of these relationships were consistent across message content, medium, and sharing audience. A preregistered experiment showed that manipulating the self and social relevance of messages causally increased sharing intentions compared to a control condition. These findings highlight self and social relevance as psychological mechanisms that motivate information sharing that can be targeted to promote sharing across contexts.

scholarly journals How events determine spreading patterns: information transmission via internal and external influences on social networks

2015 ◽  
Vol 17 (11) ◽  
pp. 113045 ◽  
Author(s):  
Chuang Liu ◽  
Xiu-Xiu Zhan ◽  
Zi-Ke Zhang ◽  
Gui-Quan Sun ◽  
Pak Ming Hui
Keyword(s):  
Social Networks ◽  
Information Transmission ◽  
External Influences

scholarly journals Aspectos éticos nas redes sociais de apoio no cuidado domiciliar à luz do pensamento complexo

2012 ◽  
Vol 3 (3) ◽  
pp. 110-113
Author(s):  
Ingrid Meireles Gomes ◽  
Luciane Faver ◽  
Ana Paula Hermann ◽  
Maria Ribeiro Lacerda
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Home Care ◽  
Information Transmission ◽  
Disease Process ◽  
Relevant Information ◽  
Home Nursing ◽  
Ethical Aspects ◽  
Redes Sociales ◽  
Apoyo Social

Ensaio reflexivo sobre aspectos éticos que permeiam as redes sociais de apoio no cuidado domiciliar, sob o referencial da complexidade de Edgar Morin. Aspectos éticos discutidos: possibilidade de ampliação da cidadania dos sujeitos; transmissão de informações relevantes ao processo saúde-doença; e inter-relações – sujeito, família, profissional e sistema. Constatou-se que sujeito, família e profissionais podem ser considerados unidades complexas que, ao se articularem e organizarem, formam um sistema a ser compreendido na relação que mantêm com o ambiente e o tempo.Descritores: Cuidados Domiciliares de Saúde, Apoio Social, Ética.Ethical Aspects in social networks support in home care at the light of complex thoughtReflective essay about ethical aspects that permeate support social networks in home care, beneath the reference of Edgar Morin’s complexity. Ethical aspects discussed: possibility of expansion of citizenship of people; relevant information transmission to the health-disease process; and person, family, professional and system interrelationships. It was noted that subject, family and professionals should be considered complex units and that when they join and organized themselves, they form a system that will be understood in the relation that keep with environment and time.Descriptors: Home Nursing, Social Support, Ethics.Cuestiones éticas en las redes de apoyo social en la perspectiva de la atención domiciliaria del pensamiento complejoEnsayo reflexivo sobre aspectos éticos que permean redes sociales de apoyo en el cuidado domiciliario, bajo el referencial teórico de la complejidad de Edgar Morin. Aspectos éticos abordados: posibilidad de ampliación de la ciudadanía de los sujetos; transmisión de informaciones relevantes al proceso salud-enfermedad; y las interrelaciones – sujeto, familia, profesional y sistema. Se encontró que sujeto, familia y profesionales pueden ser considerados unidades complejas que, cuando se articulan y organizan, forman un sistema que debe ser entendido en la relación con ambiente y tiempo.Descriptores: Atención Domiciliaria de Salud, Apoyo Social, Etica.

scholarly journals Research on information dissemination on social networks based on edge-based compartmental theory

2021 ◽  
pp. 2150249
Author(s):  
Yue-Xia Zhang ◽  
Lie Zou
Keyword(s):  
Social Networks ◽  
Information Transmission ◽  
Information Dissemination ◽  
Practical Significance ◽  
Reinforcement Effect ◽  
Simulation Results ◽  
Edge Based ◽  
The Impact ◽  
Memory Characteristics ◽  
Individual Information

The study of the mechanism of information dissemination on social networks has important practical significance for information dissemination prediction. Aiming at the impact of the reinforcement effect derived from nonredundant information memory on information dissemination, this paper proposes a susceptible–exposed–adopted–recovered (SEAR) information dissemination model. This model considers the reinforcement effect of nonredundant information memory characteristics, and is theoretically analyzed based on an edge-based compartmental theory. This model reveals the law of individual information transmission in real society and better explains the process of information transmission. The simulation results show that the reinforcement effect of nonredundant information memory has a significant impact on information dissemination. The stronger the reinforcement effect, the greater the final behavior adoption size, that is, the wider the scope of information dissemination. The theoretical prediction is basically consistent with the simulation results, which shows that the method of edge-based compartmental theory has a specific validity. In addition, changing the individual’s “on” threshold, the individual’s stability threshold, the proportion of individuals in the initial adopted state, and the heterogeneity of degree distribution can make the final behavior adoption size increase linearly or vertically with the probability of information transmission.

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