Emergence and Resilience of Social Networks: A General Theoretical Framework

Ehrhardt,; Marsili,; Vega-Redondo,

doi:10.2307/20079189

Cited by 16 publications

(15 citation statements)

References 25 publications

(38 reference statements)

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“…Statistical models for the dynamics of networks only are reviewed in Snijders (1995Snijders ( , 2005. Although models for simultaneous dynamics of a social network and actor behavior have been discussed in the literature accord-ing to various theoretical approaches (some examples are Bala and Goyal, 2000, Carley, 1991, Durlauf and Young, 2001, Ehrhardt et al, 2005, Latané and Nowak, 1997, Mark, 1991, Macy et al, 2003, this is, to our knowledge, the first model of this kind that can be used for statistical inference. The model proposed here is more flexible than the models proposed in these references, and can represent a wider variety of dynamics, due to the flexibility in specifying the rate, evaluation, and endowment functions.…”

Section: Discussionmentioning

confidence: 99%

Modeling the Coevolution of Networks and Behavior

Snijders¹,

Steglich²,

Schweinberger³

2017

Longitudinal Models in the Behavioral and Related Sciences

136

162

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A deeper understanding of the relation between individual behavior and individual actions on one hand and the embeddedness of individuals in social structures on the other hand can be obtained by empirically studying the dynamics of individual outcomes and network structure, and how these mutually affect each other. In methodological terms, this means that behavior of individuals -indicators of performance and success, attitudes and other cognitions, behavioral tendencies -and the ties between them are studied as a social process evolving over time, where behavior and network ties mutually influence each other. We propose a statistical methodology for this type of investigation and illustrate it by an example. * We thank the Chief Scientists Office of the Scottish Home and Health Department for permission to use the data of the Teenage Friends and Lifestyle Study.

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Section: Discussionmentioning

confidence: 99%

Modeling the Coevolution of Networks and Behavior

Snijders¹,

Steglich²,

Schweinberger³

2017

Longitudinal Models in the Behavioral and Related Sciences

136

162

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“…This study is based on the Emergence and Resilience of Social Networks theory by Ehrhardt (2007). The theory states that social phenomena or occurrence displays an inherent network dimension hence social networks are largely shaped by the evolution of those phenomena.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Use of social network sites by mass media organisations in Malawi

Chaputula

Majawa²

2013

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Access to this document was granted through an Emerald subscription provided by emerald-srm:198285 [] For AuthorsIf you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -The purpose of this study is to investigate the use of social networking sites (SNSs) by mass media organisations in Malawi. Design/methodology/approach -The research was a survey that was carried out amongst mass media organisations in Malawi. It mainly employed quantitative methods. Data were collected through a combination of mailed and self-administered questionnaires. Findings -The research established that SNSs were popularly used by mass media organisations in Malawi such that 20 (87 per cent) of the mass media organisations had SNS pages. Facebook was the most commonly used SNS although Twitter was also used. Mass media organisations benefited from using SNSs through increased listenership/readership, and soliciting of feedback which helped improve service offering. However, few mass media organisations registered increased business activity through the use of SNSs. Challenges associated with using SNSs were limited ICT penetration in Malawi, distraction of employees' attention at work, and there was also a concern that not many people interact on SNSs.Research limitations/implications -Despite registering an overall high response rate of 74 per cent, the response rate amongst other media categories especially the community radio broadcasters was generally poor. In fact only one out of the four organisations responded to the questionnaires. This entails that the study may have not adequately presented a true picture of organisations within this category. So although the study findings reflect the prevailing situation amongst mass media organisations in Malawi in relation to their use of SNSs, they may not holistically apply to organisations within the community radio category. Practical implications -A number of studies have shown that radio listenership and television viewership are dwindling. At the same time, audiences and attention are shifting to online channels. This research, therefore, recommends that mass media organisations should continue using SNSs so as to capture this audience, and also to remain relevant in the modern society. Orig...

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“…Following recent models by Ehrhardt et al (2006Ehrhardt et al ( , 2008b, I assume that there exists an exogenous random shock removing any of these links. This unguided drift term models the phenomenon of environmental volatility, and is a key ingredient of the model.…”

Section: Co-evolution With Noisementioning

confidence: 99%

Potential games in volatile environments

Staudigl¹

2011

Games and Economic Behavior

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This paper studies the co-evolution of networks and play in the context of finite population potential games. Action revision, link creation and link destruction are combined in a continuous-time Markov process. I derive the unique invariant distribution of this process in closed form, as well as the marginal distribution over action profiles and the conditional distribution over networks. It is shown that the equilibrium interaction topology is an inhomogeneous random graph. Furthermore, a characterization of the set of stochastically stable states is provided, generalizing existing results to models with endogenous interaction structures.

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Emergence and Resilience of Social Networks: A General Theoretical Framework

Cited by 16 publications

References 25 publications

Modeling the Coevolution of Networks and Behavior

Modeling the Coevolution of Networks and Behavior

Use of social network sites by mass media organisations in Malawi

Potential games in volatile environments

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