A Dynamic and Context-Aware Social Network Approach for Multiple Criteria Decision Making Through a Graph-Based Knowledge Learning

2018 ◽  
pp. 53-74
Author(s):  
Alessandro Di Stefano ◽  
Marialisa Scatà ◽  
Aurelio La Corte ◽  
Evelina Giacchi
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Context Awareness ◽  
Network Dynamics ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Personal Knowledge ◽  
Decision Making Process

Complexity and dynamics characterize a social network and its processes. Social network analysis and graph theory could be used to describe and explore the connectedness among the different entities. Network dynamics further increases the complexity, as each entity with its personal knowledge, cognitive and reasoning capabilities, thinks, decides and acts in a social network, characterized by the heterogeneity of nodes and ties among them. Social network analysis becomes critical to the decision-making process, where a network node will consider both its personal knowledge and the influences received from its neighbors. Network dynamics and the node's context-awareness affect the relationships among criteria, modifying their ranking in a multiple criteria decision-making process, and hence the decision itself. Thus, the main aim has been to model the decision-making process within a social network, considering both context-awareness and network dynamics. Moreover, we have introduced a process of knowledge-transfer, where the criteria are represented by the knowledge-related values.

Social Network Analysis

2021 ◽  
pp. 155-184
Author(s):  
Yuh-Wen Chen
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Multiple Criteria Decision Making ◽  
Multiple Objective ◽  
Self Organizing Map ◽  
Social Communities ◽  
The Social ◽  
Long Time

Social network analysis (SNA) is an attractive problem for a long time when social communities were popular since 2010. Scholars like to explore the meaning behind the numerous interactions generated at these social media sites. The primary and essential issue of SNA is to monitor, estimate, and engage the potential influencers who are most relevant and active to network. If we can analyze the social network this way, business enterprises could use minimal efforts to sustain the activity of influential users, improve sales, and enhance their reputations. In this chapter, a research framework based on multiple-criteria decision making (MCDM) is proposed. The authors will show how scholars could use dynamic self-organizing map (SOM) based on multiple-objective evolving algorithm (MOEA) and static weighted influence non-linear gauge system (WINGS) to analyze a social network. Finally, comparisons are made between the innovative approaches and the methods in tradition.

Ties that Bother - Ties that Matter

2017 ◽  
Vol 133 (1) ◽  
pp. 29-45
Author(s):  
Renáta Hosnedlová
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Structural Characteristics ◽  
Third Parties ◽  
Decision Making Process

The aim of this article is to show that it is necessary to consider the negative, latent and lost ties, and those with the quality “zero” when studying the formation, change and reaffirmation of residential intentions and decisions. We use the case of Ukrainian immigrants residing in Spain, where we focus on the negative ties and the effects of relational strain among third parties, applying the approach of qualitative social network analysis. We pinpoint the compositional and structural characteristics of negative ties that are significant concerning decision-making process and constructing collecting data tools.

scholarly journals Decision-Making Process Of Corporate-Farming Innovation In Bantul Regency

Agro Ekonomi ◽  
2021 ◽  
Vol 32 (2) ◽  
Author(s):  
Alia Bihrajihant Raya ◽  
Siti Fatonah ◽  
Ratih Ineke Wati ◽  
Sri Peni Wastutiningsih
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Research Team ◽  
Decision Making Process ◽  
Decision Stage ◽  
Organic Cultivation ◽  
Farmer Groups ◽  
Corporate Farming

Corporate farming is an agricultural innovation to answer narrow land tenure problems due to widespread land conversion and land fragmentation. The principle of corporate farming is land consolidation with one joint management. This research attempts to determine the decision-making process for corporate farming innovation in Bantul Regency, using an exploratory approach with the Social Network Analysis (SNA) method and ego-centered network analysis. The ego in this study is the innovator and chairman of the corporate farming team. The results of the study were presented in a sociogram using Pajek software. The actors involved in the corporate farming innovation decision-making process are the head of farmer groups, administrators, team leaders, member farmers, Bantul Regency Agricultural Service, local extension agents, and stakeholders including the Research Team of the UGM Faculty of Agriculture, Bank Indonesia Regional DIY, and BPTP DIY. The introduction stage was carried out in a farmer group meeting, and the UGM Faculty of Agriculture Research Team acts as the innovator. It is followed by the persuasion stage, which explains the benefits of implementing corporate farming during subsequent farmer group meetings. The decision stage is indicated by providing direction, assistance, and financial support, which relied on group agreement to commit corporate farming. The farmer groups’ heads dominated the persuasion stage, the decision stage, and the implementation stage. The differences between corporate farming and individual farming lie in some aspects, such as working together rather than individual work, semi-organic cultivation systems, and optimizing the use of agricultural machinery. At the confirmation stage, 62% of informants disagree to continue corporate farming due to significant drops in production yields. The change in the cultivation system from chemical to semi-organic is one reason for the decline in production.Keywords: corporate farming, ego-centered network, decision-making process, social network analysis

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.

scholarly journals Using social network analysis to examine the decision-making process on new vaccine introduction in Nigeria

2012 ◽  
Vol 27 (suppl 2) ◽  
pp. ii27-ii38 ◽  
Author(s):  
C. B. Wonodi ◽  
L. Privor-Dumm ◽  
M. Aina ◽  
A. M. Pate ◽  
R. Reis ◽  
...  
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Decision Making Process ◽  
Vaccine Introduction

scholarly journals Understanding governance in the implementation of rainwater systems in the Amazon – Belem

2020 ◽  
Vol 31 (1) ◽  
pp. 54-74
Author(s):  
Pedro Pablo Cardoso Castro ◽  
Nirvia Ravena ◽  
Ronaldo Mendes
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Process Planning ◽  
Design Methodology ◽  
Decision Making Process ◽  
Content Type ◽  
Key Players

Purpose The purpose of this paper is to develop a case study of niche governance to analyze the governance of rainwater systems in the Amazon. Design/methodology/approach A visualization of the interactions of stakeholders was made with the use of social network analysis, where data were collected through interviews to experts from the region. A framework based on niche management and the safe, resilient and sustainable (Safe and SuRe) principles were used to interpret the results. Findings The work identifies key players and issues influencing governance for the implementation of rainwater systems; and capture of decision-making powers by agents making evident redundancies in the management of rainwater in the region; highlighting issues of lack of inclusion in the decision-making process, planning and implementation; threatening the sustainability, resilience and governance of rainwater systems in Belem. Originality/value Methodologically, this work is the first of its kind for the amazon and contributes to the exploration of tools and frameworks to assess governance in the implementation of rainwater systems.

scholarly journals A New Grey Approach for Using SWARA and PIPRECIA Methods in a Group Decision-Making Environment

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1554
Author(s):  
Dragiša Stanujkić ◽  
Darjan Karabašević ◽  
Gabrijela Popović ◽  
Predrag S. Stanimirović ◽  
Muzafer Saračević ◽  
...  
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Multiple Criteria Decision Making ◽  
Grey System Theory ◽  
Multiple Criteria ◽  
Decision Making Process ◽  
Grey System ◽  
Criteria Weights

The environment in which the decision-making process takes place is often characterized by uncertainty and vagueness and, because of that, sometimes it is very hard to express the criteria weights with crisp numbers. Therefore, the application of the Grey System Theory, i.e., grey numbers, in this case, is very convenient when it comes to determination of the criteria weights with partially known information. Besides, the criteria weights have a significant role in the multiple criteria decision-making process. Many ordinary multiple criteria decision-making methods are adapted for using grey numbers, and this is the case in this article as well. A new grey extension of the certain multiple criteria decision-making methods for the determination of the criteria weights is proposed. Therefore, the article aims to propose a new extension of the Step-wise Weight Assessment Ratio Analysis (SWARA) and PIvot Pairwise Relative Criteria Importance Assessment (PIPRECIA) methods adapted for group decision-making. In the proposed approach, attitudes of decision-makers are transformed into grey group attitudes, which allows taking advantage of the benefit that grey numbers provide over crisp numbers. The main advantage of the proposed approach in relation to the use of crisp numbers is the ability to conduct different analyses, i.e., considering different scenarios, such as pessimistic, optimistic, and so on. By varying the value of the whitening coefficient, different weights of the criteria can be obtained, and it should be emphasized that this approach gives the same weights as in the case of crisp numbers when the whitening coefficient has a value of 0.5. In addition, in this approach, the grey number was formed based on the median value of collected responses because it better maintains the deviation from the normal distribution of the collected responses. The application of the proposed approach was considered through two numerical illustrations, based on which appropriate conclusions were drawn.

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