Water governance network analysis using graphlet mining

Das, Apratim; Drakos, Mike; Aravind, Alex; Horning, Darwin

doi:10.1145/3341161.3343696

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…including criteria of transparency and social participationwhen these are already substantive principles of the concept. There are also references to network governance from the standpoint of a social network analysis approach (Das et al, 2019), or identifying only buyers and suppliers as interested actors (Statsenko et al, 2018); thus these limit the meaning of network governance, which ideally should involve all stakeholders, and particularly the least privileged local actors and indigenous communities, often seen as "resource guardians" (Broomes, 2013), and fundamental to the execution of a mining governance that contributes to sustainable development.…”

Section: Discussionmentioning

confidence: 99%

Governance in mining: Management, ethics, sustainability and efficiency

Gómez¹,

Gómez²

2021

The Extractive Industries and Society

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Section: Discussionmentioning

confidence: 99%

Governance in mining: Management, ethics, sustainability and efficiency

Gómez¹,

Gómez²

2021

The Extractive Industries and Society

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Efficient and Flexible Compression of Very Sparse Networks of Big Data

Leung

Jiang

Zhang

2021

Lecture Notes in Social Networks

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Institutional analysis of water governance in the Colorado River Basin, 1922–2022

Lawless,

Garcia,

White

2024

Front. Water

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The 1922 Colorado River Compact started the long history of water governance in the Colorado River Basin. Over the last century, the institutional structure has shaped water governance in the basin. However, an understanding of the long-term evolution is lacking. This study examines how water management strategies have evolved at the basin scale by incorporating institutional, temporal, and network structure analysis methods to examine long-term changes. Content analysis was employed to systematically investigate encouraged and/or discouraged water management actions at different rule levels. The water governance network was examined at four points in time to map the institutional structure, actors, and governance level at which rules are issued and targeted. Using institutional analysis, we found constitutional, operational, and collective-choice level rules for water supply, storage, movement, and use have been altered via layering of new governance rules without major rule or responsibility alteration. The network analysis results indicate that key decision-making positions have remained and actors who issue and are targeted by the rules lack significant change. We found original positions of power have been maintained, potentially stagnating the space for problem-solving and management strategy renegotiation. Our results indicate that path dependency has shaped water governance and who is able to influence decision-making.

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Water governance network analysis using graphlet mining

Cited by 3 publications

References 15 publications

Governance in mining: Management, ethics, sustainability and efficiency

Governance in mining: Management, ethics, sustainability and efficiency

Efficient and Flexible Compression of Very Sparse Networks of Big Data

Institutional analysis of water governance in the Colorado River Basin, 1922–2022

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