Online Social Networks and information diffusion: The role of ego networks

Arnaboldi, Valerio; Conti, Marco; Passarella, Andrea; Dunbar, Robin

doi:10.1016/j.osnem.2017.04.001

Cited by 96 publications

(58 citation statements)

References 52 publications

(91 reference statements)

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“…This was later confirmed by Arnaboldi et al . [ 133 ] who modelled information diffusion in actual Twitter networks. Figure 5 b plots the effect on reachability of removing nodes in different layers in a conventional cascade diffusion model.…”

Section: Propagation In Structured Networkmentioning

confidence: 99%

Structure and function in human and primate social networks: implications for diffusion, network stability and health

Dunbar

2020

Proc. R. Soc. A.

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The human social world is orders of magnitude smaller than our highly urbanized world might lead us to suppose. In addition, human social networks have a very distinct fractal structure similar to that observed in other primates. In part, this reflects a cognitive constraint, and in part a time constraint, on the capacity for interaction. Structured networks of this kind have a significant effect on the rates of transmission of both disease and information. Because the cognitive mechanism underpinning network structure is based on trust, internal and external threats that undermine trust or constrain interaction inevitably result in the fragmentation and restructuring of networks. In contexts where network sizes are smaller, this is likely to have significant impacts on psychological and physical health risks.

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Section: Propagation In Structured Networkmentioning

confidence: 99%

Structure and function in human and primate social networks: implications for diffusion, network stability and health

Dunbar

2020

Proc. R. Soc. A.

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“…In turn, the actors included in the second list identify other actors, and so on. This process repeats until no other actors are found or until a deliberate stop of the researcher occurs, due to time, financial resources or because the new actors indicated are very marginal to the group studied; (d) Complete network method: requires the collection of information about the ties of each actor with all other actors, which allows very powerful descriptions and social structures analyzes (GIULIANI;PIETROBELLI, 2011;ARNABOLDI et al, 2017).…”

Section: Betweenness Centralitymentioning

confidence: 99%

A social network analysis applied to understand the relationships in fish farming tank-nets business in Brazil

Martinelli

Pigatto

Queiroz

et al. 2019

Inter

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The present article aims to analyze the insertion of tilapia tank-nets producers in social networks and their influence on the information transfer within the network, from a group of fish farmers located in a reservoir in southeastern Brazil. Exploratory methods characterize this research, which has a qualitative approach based on a multi-case study. Roster method conducts the network research taking into account the limited number of actors in the network and the identification of all. This article allows an understanding of the influence of frequency, time and value attributed to the exchange of information among fish farmers. The trust degree in the relationships between fish farmers was measured through a Social Network Analysis (SNA) with the help of the UCINET® software. The results show that the transmitters of more information are the same that present themselves as central in the network and those who have the most valuable information.

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“…Social media and online social interactions have become key tools for sharing experiences 1 , communicating with peers 2 and transferring knowledge. 3 The possibilities arising from these trends are endless, as are some of the problems.…”

Section: Introductionmentioning

confidence: 99%

A study of components of behavioral addiction to social media use in current generation of Pakistani youth.

Mazhar

Khan

Zafar

et al. 2020

TPMJ

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Information Technology has brought significant changes to the human social interaction & behaviors. Behavioral addiction to social media use is a rather novel concept in psychiatric “classification of diseases”. Some foreign studies have reported it to be as high as 29.5%.7,8 There is need to study this relatively neglected area specially among our youth. This will help provide reliable data to understand the magnitude of current problem. Objectives: To study the Components of Behavioral addiction to Social Media use: Conflict, Mood Modification, Relapse, Salience, Tolerance and Withdrawal, among the youth in Pakistan. Study Design: Cross-sectional study. Setting: Department of Psychiatry Services Institute and Medical Sciences, Lahore. Period: March 2019 to May 2019. Material & Methods: Among University students was conducted Purposive sampling technique was employed. Questionnaire forms were given to students of a University. Each questionnaire had 12 questions. There were specific questions for each component of addiction: Conflict, Mood Modification, Relapse, Salience, Tolerance and Withdrawal. Each respondent’s bio-data, preferred social networking medium and frequency of social media use were recorded. They were also asked about their perception about excessive social media use. The responses were based on Likert scale. The respondents were asked to give the single best response to each question. A total of 210 responses were obtained. They were assessed using the software, IBM SPSS version 25. Results: The sample population reported positive for all the components of addiction tested. The majority (greater than 50%) of responses for each component were in “Always” to “Sometimes” range of Likert scale. Conclusion: The current generation of Pakistani youth might be suffering from Behavioral Addiction to Social Media use.

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Online Social Networks and information diffusion: The role of ego networks

Cited by 96 publications

References 52 publications

Structure and function in human and primate social networks: implications for diffusion, network stability and health

Structure and function in human and primate social networks: implications for diffusion, network stability and health

A social network analysis applied to understand the relationships in fish farming tank-nets business in Brazil

A study of components of behavioral addiction to social media use in current generation of Pakistani youth.

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