scholarly journals The collapse of cooperation: the endogeneity of institutional break-up and its asymmetry with emergence

2021 ◽  
Author(s):  
Christian Cordes ◽  
Wolfram Elsner ◽  
Claudius Graebner ◽  
Torsten Heinrich ◽  
Joshua Henkel ◽  
...  
Keyword(s):  
Social Sciences ◽  
Decision Making ◽  
Social Networks ◽  
Network Analysis ◽  
Institutional Economics ◽  
Collective Decision Making ◽  
System Complexity ◽  
Break Up ◽  
Failing States ◽  
Globalized World

AbstractDecline and break-up of institutionalized cooperation, at all levels, has occurred frequently. Some of its concomitants, such as international migration, have become topical in the globalized world. Aspects of the phenomenon have also become known as failing states. However, the focus in most social sciences has been on institutional emergence and persistence, not collapse. We develop an endogenous explanation of collapsing institutions. Collapse may be an implication of the very economic success of institutionalized cooperation and of increasing system complexity, when cognitive conditions for effective collective decision-making do not proportionately evolve. Moreover, we show that collapse is not a simple logical reverse of emergence. Rather, institutions break up at different factor constellations than the ones prevailing at emergence. We approach endogenous institutional break-up and its asymmetry from various paradigmatic and disciplinary perspectives, employing psychology, anthropology, network analysis, and institutional economics. These perspectives cover individuals, groups, interaction-arenas, populations, and social networks.

Using Network Analysis for Understanding How Decisions are Made

2011 ◽  
pp. 950-957
Author(s):  
Frédéric Adam
Keyword(s):  
Decision Making ◽  
Social Networks ◽  
Social Network ◽  
Network Analysis ◽  
Decision Aids ◽  
Network Approach ◽  
Organizational Decision Making ◽  
Traditional Research ◽  
The Social ◽  
High Level

Network analysis, a body of research that concentrates on the social networks that connect actors in society, has been found to have many applications in areas where researchers struggle to understand the complex workings of organisations (Nohria, 1992). Social network analysis (SNA) acknowledges that individuals are characterised just as much by their relationships with one another (which is often neglected in traditional research) as by their specific attributes (Knoke & Kuklinski, 1982) and that, beyond individuals, society itself is made of networks (Kilduff & Tsai, 2003). It is the study of the relationships between actors and between clusters of actors in organisations and in society that has been labeled network analysis. These high level observations about network analysis indicate that this orientation has great potential for the study of how managers, groups of managers, and organisations make decisions, following processes that unfold over long periods of time and that are sometimes very hard to fully comprehend without reference to a network approach. This article proposes to investigate the potential application of network analysis to the study of individual and organizational decision making and to leverage its strengths for the design and development of better decision aids.

scholarly journals Information gerrymandering in social networks skews collective decision-making

Nature ◽  
2019 ◽  
Vol 573 (7772) ◽  
pp. 40-41 ◽  
Author(s):  
Carl T. Bergstrom ◽  
Joseph B. Bak-Coleman
Keyword(s):  
Decision Making ◽  
Social Networks ◽  
Collective Decision ◽  
Collective Decision Making

Using Social Network Analysis to Support Collective Decision-Making Process

2013 ◽  
pp. 87-103 ◽  
Author(s):  
Simon Buckingham Shum ◽  
Lorella Cannavacciuolo ◽  
Anna De Liddo ◽  
Luca Iandoli ◽  
Ivana Quinto
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Collective Decision ◽  
Knowledge Organization ◽  
Decision Making Process ◽  
Collective Decision Making ◽  
Collaborative Decision Making ◽  
Collaborative Decision

Current traditional technologies, while enabling effective knowledge sharing and accumulation, seem to be less supportive of knowledge organization, use and consensus formation, as well as of collaborative decision making process. To address these limitations and thus to better foster collective decision-making around complex and controversial problems, a new family of tools is emerging able to support more structured knowledge representations known as collaborative argument mapping tools. This paper argues that online collaborative argumentation has the rather unique feature of combining knowledge organization with social mapping and that such a combination can provide interesting insights on the social processes activated within a collaborative decision making initiative. In particular, the authors investigate how Social Network Analysis can be used for the analysis of the collective argumentation process to study the structural properties of the concepts and social networks emerging from users’ interaction. Using Cohere, an online platform designed to support collaborative argumentation, some empirical findings obtained from two use cases are presented.

Using Social Network Analysis to Support Collective Decision-Making Process

2011 ◽  
Vol 3 (2) ◽  
pp. 15-31 ◽  
Author(s):  
Simon Buckingham Shum ◽  
Lorella Cannavacciuolo ◽  
Anna De Liddo ◽  
Luca Iandoli ◽  
Ivana Quinto
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Collective Decision ◽  
Knowledge Organization ◽  
Decision Making Process ◽  
Collective Decision Making ◽  
Collaborative Decision Making ◽  
Collaborative Decision

Current traditional technologies, while enabling effective knowledge sharing and accumulation, seem to be less supportive of knowledge organization, use and consensus formation, as well as of collaborative decision making process. To address these limitations and thus to better foster collective decision-making around complex and controversial problems, a new family of tools is emerging able to support more structured knowledge representations known as collaborative argument mapping tools. This paper argues that online collaborative argumentation has the rather unique feature of combining knowledge organization with social mapping and that such a combination can provide interesting insights on the social processes activated within a collaborative decision making initiative. In particular, the authors investigate how Social Network Analysis can be used for the analysis of the collective argumentation process to study the structural properties of the concepts and social networks emerging from users’ interaction. Using Cohere, an online platform designed to support collaborative argumentation, some empirical findings obtained from two use cases are presented.

Smartocracy: Social Networks for Collective Decision Making

2007 ◽  
Author(s):  
Marko A. Rodriguez ◽  
Daniel J. Steinbock ◽  
Jennifer H. Watkins ◽  
Carlos Gershenson ◽  
Johan Bollen ◽  
...  
Keyword(s):  
Decision Making ◽  
Social Networks ◽  
Collective Decision ◽  
Collective Decision Making

scholarly journals The Concept of Sustainability on Social Media: A Social Listening Approach

2020 ◽  
Vol 12 (5) ◽  
pp. 2122 ◽  
Author(s):  
María Teresa Ballestar ◽  
Miguel Cuerdo-Mir ◽  
María Teresa Freire-Rubio
Keyword(s):  
Social Sciences ◽  
Social Networks ◽  
Social Network ◽  
Network Analysis ◽  
Language Processing ◽  
Open Source Software ◽  
Sustainable Management ◽  
Social Phenomena ◽  
The Social ◽  
Social Listening

The concept of sustainability has gone far beyond the issues of the sustainable management of natural and environmental resources. Nowadays, sustainability is part of the social sciences in a different way. The aim of this research was dual. Firstly, we analyzed the different contexts and areas of knowledge where this concept is used in society by using social listening on Twitter, one of the most popular social networks today. The sentiments of these conversations were rated to assess whether the feelings and perceptions of these conversations on the social network were positive or negative regarding the use of the concept. Also, we tested if these perceptions about the topic were attuned to other more formal fields, such as scientific research, or strategies followed nationally or internationally by agencies and organizations related to sustainability. The method used on this first part of the research consisted of an analysis of 15,000 tweets collected from Twitter using natural language processing (NLP) for clustering the main areas of knowledge of topics where the concept of sustainability was used, and the sentiment of these conversations on the social network. Secondly, we mapped the social network of users who generated or spread content regarding sustainability on Twitter within the period of observation. Social network analysis (SNA) focuses on the taxonomy of the network and its dynamics and identifies the most relevant players in terms of generation of conversation and also their referrers who spread their messages worldwide. For this purpose, we used Gephi, an open source software used for network analysis and visualization, that allows for the exploration and visualization of large networks of any kind, in depth. The findings of this research are new, not only because of the mix of technology and methods used for extracting data from Twitter and analyzing them from different perspectives, but also because they show that social listening is a powerful method for analyzing relevant social phenomena. Listening on social networks can be used more effectively than other more traditional processes to gather data that are more costly and time consuming and lack the momentum and spontaneity of digital conversations.

scholarly journals Using social network analysis to identify stakeholders’ influence on energy efficiency of housing

2017 ◽  
Vol 9 ◽  
pp. 184797901771262 ◽  
Author(s):  
Sherif Zedan ◽  
Wendy Miller
Keyword(s):  
Decision Making ◽  
Social Networks ◽  
Energy Efficiency ◽  
Social Network ◽  
Life Cycle ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Energy Efficient ◽  
Informed Decision Making ◽  
The Social

Energy-efficient housing is a product that integrates various stakeholders’ tasks throughout the different stages of its life cycle. The relationships between these stakeholders impact on the degree of knowledge sharing and informed decision-making and can potentially enhance or lower the energy efficiency of the product – the house. This article uses a social network analysis (SNA) approach to visualize the social networks of the stakeholders of a number of owner-occupied housing case studies in Australia. The aim is to analyse, contrast and quantify the degrees of connectivity and centrality of the housing stakeholders to identify which groups have more connectivity in the stakeholders’ network of energy-efficiency housing and consequently more potential to influence the energy efficiency outcomes and which practices are more likely to enhance transparency and information sharing that is essential for producing energy-efficient housing.

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