Digital access, political networks and the diffusion of democracy

Rhue, Lauren; Sundararajan, Arun

doi:10.1016/j.socnet.2012.06.007

Cited by 38 publications

(26 citation statements)

References 23 publications

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“…). Freedom of information or right to information, especially in digital form, is increasingly viewed as an essential precondition for citizens to participate in the policy process (Rhue & Sundararajan ).…”

Section: Operationalizing Policy Capacity: a Multi‐level Analysismentioning

confidence: 99%

Achilles' heels of governance: Critical capacity deficits and their role in governance failures

Howlett

Ramesh

2015

Regulation & Governance

165

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This article assesses the usefulness of conceptions of policy capacity for understanding policy and governance outcomes. In order to shed light on this issue, it revisits the concept of governance, derives a model of basic governance types and discusses their capacity pre‐requisites. A model of capacity is developed combining competences over three levels of activities with analysis of resource capabilities at each level. This analysis is then applied to the common modes of governance. While each mode requires all types of capacity if it is to match its theoretically optimal potential, most on‐the‐ground modes do not attain their highest potential. Moreover, each mode has a critical type of capacity which serves as its principle vulnerability; its “Achilles' heel.” Without high levels of the requisite capacity, the governance mode is unlikely to perform as expected. While some hybrid modes can serve to supplement or reinforce each other and bridge capacity gaps, other mixed forms may aggravate single mode issues. Switching between modes or adopting hybrid modes is, therefore, a non‐trivial issue in which considerations of capacity issues in general and Achilles' heel capacities in particular should be a central concern.

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Section: Operationalizing Policy Capacity: a Multi‐level Analysismentioning

confidence: 99%

Achilles' heels of governance: Critical capacity deficits and their role in governance failures

Howlett

Ramesh

2015

Regulation & Governance

165

View full text Add to dashboard Cite

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“…The use of SAOMs in political science is currently largely limited to the subfields of policy (Berardo and Scholz, 2010;Ingold and Fischer, 2014;Giuliani, 2013), international relations (Kinne, 2013;Rhue and Sundararajan, 2014), and international political economy (Manger and Pickup, 2016;Manger et al, 2012).…”

Section: Applicationsmentioning

confidence: 99%

“…With respect to formal characteristics of the applications, SAOMs in political science have been applied to directed (Rhue and Sundararajan, 2014;Ingold and Fischer, 2014;Liang, 2014;Giuliani, 2013;Fischer et al, 2012;Berardo and Scholz, 2010) as well as non-directed (Manger and Pickup, 2016;Manger et al, 2012;Kinne, 2013) networks. Applications have included networks with anywhere between 2 and 11 waves, and between 23 and 1178 nodes.…”

Section: Applicationsmentioning

confidence: 99%

“…Applications have included networks with anywhere between 2 and 11 waves, and between 23 and 1178 nodes. A few have included co-evolution models with behavioural dependent variables (Manger and Pickup, 2016;Rhue and Sundararajan, 2014;Berardo and Scholz, 2010), and even fewer have studied co-evolution with multiple networks, two-mode networks (Liang, 2014), or multiple behavioural dependent variables (Rhue and Sundararajan, 2014).…”

Section: Applicationsmentioning

confidence: 99%

“…An application to partner selection in policy networks and its co-evolution with generalized trust is presented by Berardo and Scholz (2010). Manger and Pickup (2016) and Rhue and Sundararajan (2014) apply this model to the diffusion of democracy.…”

Section: Specification Of Behavior Dynamicsmentioning

confidence: 99%

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Stochastic Actor-Oriented Models for Network Dynamics

Snijders

2017

Annu. Rev. Stat. Appl.

168

109

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This article discusses the stochastic actor-oriented model for analyzing panel data of networks. The model is defined as a continuous-time Markov chain, observed at two or more discrete time moments. It can be regarded as a generalized linear model with a large amount of missing data. Several estimation methods are discussed. After presenting the model for evolution of networks, attention is given to coevolution models. These use the same approach of a continuous-time Markov chain observed at a small number of time points, but now with an extended state space. The state space can be, for example, the combination of a network and nodal variables, or a combination of several networks. This leads to models for the dynamics of multivariate networks. The article emphasizes the approach to modeling and algorithmic issues for estimation; some attention is given to comparison with other models.

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The Role of Social Media in Citizen’s Political Participation

Getachew

Beshah

2019

IFIP Advances in Information and Communication Technology

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Social media is becoming important tool for political participation and engagement. Interaction in social media has a strong influence on the propensity to participate in politics. In this research, we argue that IS is in the right position to improve understanding of social media influence in political communication and participation. In this study, the role of social media for political participation is discussed and the result shows that social media plays great role in terms of replacing traditional media, facilitating political engagement, strengthening strategic collaboration as well as the potential to influence governments decisions in relation with politics. We employed qualitative research methodology and concept analysis technique to transcribe interview that can help to identify and arrange the ideas and views of interviewees. Our study explored how citizens engaged in politics through social media. Thus, the media industry, political consultants, politicians, and citizens will need to adjust their behaviors to leverage this new competitive environment abstract should summarize the contents of the paper in short terms, i.e. 150-250 words.

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Digital access, political networks and the diffusion of democracy

Cited by 38 publications

References 23 publications

Achilles' heels of governance: Critical capacity deficits and their role in governance failures

Achilles' heels of governance: Critical capacity deficits and their role in governance failures

Stochastic Actor-Oriented Models for Network Dynamics

The Role of Social Media in Citizen’s Political Participation

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