Three-way group consensus decision based on hierarchical social network consisting of decision makers and participants

2021 ◽  
Author(s):  
Decui Liang ◽  
Yuanyuan Fu ◽  
Zeshui Xu
Keyword(s):  
Social Network ◽  
Decision Makers ◽  
Group Consensus ◽  
Consensus Decision

A maximizing dominance degree model based on trust relationships and TODIM method to reach group consensus

2021 ◽  
pp. 1-14
Author(s):  
Yicong Liu ◽  
Junfeng Chu ◽  
Yanyan Wang ◽  
Yingming Wang
Keyword(s):  
Practical Method ◽  
Feedback Mechanism ◽  
Decision Makers ◽  
Group Consensus ◽  
Optimal Model ◽  
Suitable Alternative ◽  
Trust Relationships ◽  
Todim Method ◽  
Consensus Index ◽  
Indirect Trust

To obtain the suitable alternative(s) for the organization, this paper proposes a more practical method to solve the decision-making problems in society. That is combined with the TODIM (TOmada de decisão interativa multicrit e ´ rio). The maximizing dominance degree model to reach consensus is proposed with two following components: (1) constructing the complete trust relationships network; (2) the maximizing dominance degree feedback mechanism to reach group consensus. Therefore, firstly owing to the complexity of the trust relationships network, judging the direct and indirect trust propagation paths among the decision makers (DMs) to construct the complete trust relationships network and identifying the highest value of Trust Score (TS) as the leader is possible. Then identify the inconsistent DM based on the established consensus index. During the feedback process, inconsistent DMs adopt the feedback mechanism based on the dominance degree of the leader until the group consensus is reached. Later, the corresponding ranking result is calculated by the TODIM method. Finally, a numerical example is applied to illustrate the effectiveness and feasibility of the optimal model.

scholarly journals Power Indices in the Context of Social Learning Behaviour in Social Networks

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Ruili Shi ◽  
Chunxiang Guo ◽  
Xin Gu
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Learning ◽  
Social Impact ◽  
Power Index ◽  
Decision Makers ◽  
Power Indices ◽  
Learning Efficiency ◽  
Relationship Closeness ◽  
The Social

This paper puts forward the concept of integrated power, synthetically measures the voters’ ability to influence the results of decision-making by influencing others through social learning, considering the interactions between decision-makers in social networks, and offers a method for measuring integrated power. Based on the theory and model of social learning, we analyze the influence of social learning on the voting process and power indices from the perspective of individuals’ professional level, position within the social network structure, relationship closeness, and learning efficiency. A measurement model of integrated power is constructed, and the variation in integrated power compared with that of the Banzhaf index is analyzed by numerical simulation. The results show that when the individual’s professional level is higher and closeness with neighboring decision-makers is greater, then the integrated power index is higher. An individual’s integrated power index may decrease when he/she changes from an isolated node to a nonisolated node, and then his/her integrated power will increase with the increases of neighbor nodes. Social learning efficiency can promote the integrated power of individuals with lower social impact and relationship closeness, but it is not beneficial for the core and influential members of the social network.

Centrality Measures and Academic Achievement in Computerized Classroom Social Networks

2017 ◽  
Vol 56 (4) ◽  
pp. 589-618 ◽  
Author(s):  
Iris Reychav ◽  
Daphne Ruth Raban ◽  
Roger McHaney
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Networking ◽  
Learning Task ◽  
Learning Performance ◽  
Centrality Measures ◽  
Group Consensus ◽  
Learning Assessments ◽  
Individual Assessment

The current empirical study examines relationships between network measures and learning performance from a social network analysis perspective. We collected computerized, networking data to analyze how 401 junior high students connected to classroom peers using text- and video-based material on iPads. Following a period of computerized interaction, learning assessments were taken at individual or group consensus levels. Social network analysis suggested highly connected students became information sources with higher individual assessment achievements. Students receiving information from central sources exhibited higher achievements in group consensus treatments. Students acting as bridges between others on the network regulated themselves better and achieved higher academic outcomes. However, a subset of students were motivated by social interaction rather than learning task. This finding, consistent with general social networking research, cautions educators to ensure socializing does not override learning objectives when using classroom social networking.

scholarly journals A Hybrid Network Model to Extract Key Criteria and Its Application for Brand Equity Evaluation

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Chin-Yi Chen ◽  
Chung-Wei Li
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Brand Equity ◽  
Program Planning ◽  
Evaluation Criteria ◽  
Practical Method ◽  
Decision Makers ◽  
Hybrid Network ◽  
Proposed Model ◽  
Equity Evaluation

Making a decision implies that there are alternative choices to be considered, and a major challenge of decision-making is to identify the adequate criteria for program planning or problem evaluation. The decision-makers’ criteria consists of the characteristics or requirements each alternative must possess and the alternatives are rated on how well they possess each criterion. We often use criteria developed and used by different researchers and institutions, and these criteria have similar means and can be substituted for one another. Choosing from existing criteria offers a practical method to engineers hoping to derive a set of criteria for evaluating objects or programs. We have developed a hybrid model for extracting evaluation criteria which considers substitutions between the criteria. The model is developed based on Social Network Analysis and Maximum Mean De-Entropy algorithms. In this paper, the introduced methodology will also be applied to analyze the criteria for assessing brand equity as an application example. The proposed model demonstrates that it is useful in planning feasibility criteria and has applications in other evaluation-planning purposes.

The Impact of Group Decision Support Systems on Group Consensus Processes and Outcomes

1994 ◽  
Vol 38 (4) ◽  
pp. 215-219 ◽  
Author(s):  
Suvit Nopachai ◽  
Sherry Perdue Casali
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Group Decision ◽  
Group Decision Support ◽  
Decision Quality ◽  
Group Decision Support System ◽  
Group Consensus ◽  
The Impact ◽  
Consensus Decision

An experiment was conducted to examine how the use of a group decision support system (GDSS) influences the formation of group consensus. In a task requiring group members to jointly prioritize a list of items, 12 groups of eight members each were randomly assigned to one of three experimental conditions involving different levels of technological meeting support: (1) a group decision support system, (2) a manual counterpart to the structure imposed by the GDSS, and (3) no structured support. Measures of group consensus and perceived consensus, decision quality and perceived decision quality, and perceived opportunity to express views were made. The results revealed that the measures of consensus, decision quality and perceived decision quality, and perceived opportunity to express views were all similar across the three levels of technology investigated. Only perceived consensus was found to vary across conditions. The practical implications of these results are discussed.

scholarly journals Basic Criteria, Models, and Indicators of Intersectoral Collaboration in Health Promotion: A Scoping Review

2021 ◽  
Author(s):  
Mohammad Reza Amir Esmaili ◽  
Behzad Damari ◽  
Ahmad Hajebi ◽  
Noora Rafiee ◽  
Reza Goudarzi ◽  
...  
Keyword(s):  
Health Promotion ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Scoping Review ◽  
Web Of Science ◽  
Decision Makers ◽  
Macro Level ◽  
Intersectoral Collaboration ◽  
Micro Level

Background: In this study, the basic criteria, models, and indicators of intersectoral collaboration in health promotion were investigated to facilitate the implementation of collaboration. Methods: This scoping review was conducted using datasets of Embase, Web of Science, Scopus, and PubMed, and search engines of Google, Google Scholar, and ProQuest. Results: 52 studies were included, and 32 codes in Micro, Meso, and Macro level, were obtained. Micro-level criteria had the highest frequency. Among the models used in the reviewed studies, social network analysis, Diagnosis of Sustainable Collaboration, Bergen, and logic models had the highest frequency. Among the indicators studied, the number of participants and the level of collaboration as well as its sustainability were the most frequent indicators. Conclusion: The findings identified the most important and widely used criteria, models, and indicators of intersectoral collaboration in health promotion which can be useful for decision-makers and planners in the domain of health promotion, in designing, implementing, and evaluating collaborative programs.

Motivation, Networking and Business Growth: Perspectives of Ghanaian Female Entrepreneurs

2017 ◽  
Vol 25 (03) ◽  
pp. 297-316
Author(s):  
Murat Sakir Erogul ◽  
Fanny Adams Quagrainie
Keyword(s):  
Social Network ◽  
Decision Makers ◽  
Support Programs ◽  
Business Growth ◽  
Pull Factors ◽  
Female Entrepreneurs ◽  
Activity Engagement ◽  
Push And Pull Factors ◽  
Ghanaian Women ◽  
Push And Pull

This paper explores the experiences of Ghanaian female entrepreneur’s motivation for establishing their own business and the level of support they receive from their personal social network. Findings indicate that both push and pull factors motivate Ghanaian women to start their own business; however, initial motivation for becoming an entrepreneur does not appear to determine characteristics of the dichotomous labelling in relation to networking activity engagement or business growth relationship. This paper seeks to enable decision makers in Ghana to better formulate policy and support programs aimed at creating an environment more accepting of female Ghanaian entrepreneurs, regardless of what may trigger them into pursuing entrepreneurship as a career.

Informal Alliances vs. Institutional Ties: The Effects of Elite Alliances on Environmental TSMO Networks

2001 ◽  
Vol 6 (1) ◽  
pp. 37-54 ◽  
Author(s):  
Beth Caniglia
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Decision Makers ◽  
Social Movement Organizations ◽  
Political Opportunity ◽  
Political Decision ◽  
Global Environmental ◽  
Wide Range ◽  
Institutional Ties ◽  
Movement Organizations

A cursory look at the ways that environmental activists seek to shape a growing global environmental agenda reveals a wide range of tactics that do not conform to traditional definitions of institutional versus disruptive politics. Zald and Diani argued in a recent Mobilization forum that our understandings of elite-movement relationships need revision to account for the variety of ways that movement actors relate to economic and political decision makers. While political opportunity analysts have shown that the presence or absence of sympathetic elites has important implications for movement outcomes, this article provides evidence about how the relationships between movement organizations and sympathetic transnational elites affect relationships within movements. By incorporating concepts and techniques from social network analysis, I derive a model to assess the effect of elite alliances on the structural positions in the network of environmental transnational social movement organizations (TSMOs). Findings indicate that elite alliances affect TSMO network positions differently, depending on the type and number of relationships the TSMO has with elites.

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