Influence maximization in social networks based on TOPSIS

Zareie, Ahmad; Sheikhahmadi, Amir; Khamforoosh, Keyhan

doi:10.1016/j.eswa.2018.05.001

Cited by 91 publications

(27 citation statements)

References 41 publications

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“…As a comprehensive evaluation method for multi-objective decision making based on limited options, the TOPSIS evaluation method has a lot of advantages in that it can eliminate the dimensional differences between different indicators by normalizing the raw data, make full use of the normalized data, and obtain the evaluation scores of different options or plans by objectively reflecting the gap between different options and plans [54][55][56]. However, there are still some problems in the application of this method.…”

Section: Methodsmentioning

confidence: 99%

Analysis of the Air Quality and the Effect of Governance Policies in China’s Pearl River Delta, 2015–2018

Gao

Yang

et al. 2019

Atmosphere

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The evaluation of China’s air pollution and the effectiveness of its governance policies is currently a topic of general concern in the academic community. We have improved the traditional evaluation method to construct a comprehensive air quality assessment model based on China’s major air pollutants. Using the daily air pollutant data of 2015–2018, we calculated and analyzed the monthly air quality of nine cities in the Pearl River Delta of China, and conducted a comparative study on the effect of the air pollution control policies of the cities in the Pearl River Delta. We found that the air quality control policies in those nine cities were not consistent. Specifically, the pollution control policies of Guangzhou and Foshan have achieved more than 20% improvement. The pollution control policies of Dongguan and Zhaoqing have also achieved more than 10% improvement. However, due to the relative lag of the formulation and implementation of air pollution control policies, the air quality of Jiangmen, Zhuhai and Zhongshan has declined. Based on the analysis of the air quality assessment results and the effects of governance policies in each city during the study period, we propose suggestions for further improvement of the effectiveness of air pollution control policies in the region.

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Section: Methodsmentioning

confidence: 99%

Analysis of the Air Quality and the Effect of Governance Policies in China’s Pearl River Delta, 2015–2018

Gao

Yang

et al. 2019

Atmosphere

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“…The basic idea of TOPSIS is that all schemes participating in the evaluation are sorted according to their distance to the ideal solutions and the negative ideal solutions, and the quality of the evaluation schemes can be expressed by the final order. 47 The ideal solution is the set of each attribute's optimal value, which refers to the highest benefit or the lowest cost. Similarly, the negative ideal solution is the set of each attribute's worst value, which refers to the lowest benefit or the highest cost.…”

Section: Topsis Methodsmentioning

confidence: 99%

Evaluation of equipment maintenance quality: A hybrid multi-criteria decision-making approach

Zhang

Shan

2019

Advances in Mechanical Engineering

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Maintenance plays a crucial role in the entire life cycle of equipment. With the acceleration of industrialization, the evaluation of equipment maintenance quality has undoubtedly become more challenging due to the complex mechanical structure, various maintenance modes, and so on. In order to make decisions scientifically, a hybrid multi-criteria decision-making approach integrating triangle fuzzy number, l-fuzzy measure, TOPSIS, and Choquet fuzzy integral is proposed in this article. First, the interaction among criteria can be handled reasonably by fuzzy integral based on l-fuzzymeasure. Second, fuzzy numbers which are given by experts are applied to deal with fuzzy linguistic value. In addition, artificial bee colony algorithm is first introduced to identify l-fuzzy-measure. The comparison results of three optimization algorithms which include artificial bee colony algorithm, genetic algorithm, and particle swarm optimization prove artificial bee colony algorithm is more effective than genetic algorithm and particle swarm optimization. A case study which contains six maintenance alternatives is practiced to prove the effectiveness of the proposed hybrid multi-criteria decision-making approach. Finally, the comparison is made between the proposed method and two classical multi-criteria decision-making approaches which refer to TOPSIS and gray correlation, and the results demonstrate the proposed method is suitable to solve maintenance quality evaluation problem.

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“…On the other hand, it is used for the weighted network, whereas our algorithm is for the basic social network. As a multiple-attribute decisionmaking (MADM) technique, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) has been successfully applied to solve some typical decision-making problems [19,20,28,54]. To identify influential nodes, this technique 13 Complexity was introduced to rank the nodes in a network according to their influences [25,26].…”

Section: Related Workmentioning

confidence: 99%

“…Typically, Jalayer et al proposed a "greedy TOPSIS and community-based" (GTaCB) algorithm [19] for this problem. It could be seen that the TOPSIS in [19,20] belongs to a greedy technique. Thus, it only generates a local optimal solution for identifying the influential nodes in a social network.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Algorithm for Evaluating Node Influences in Social Networks Based on Preference Analysis and Random Walk

Mao

Xiao

2018

Complexity

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In the era of big data, social network has become an important reflection of human communications and interactions on the Internet. Identifying the influential spreaders in networks plays a crucial role in various areas, such as disease outbreak, virus propagation, and public opinion controlling. Based on the three basic centrality measures, a comprehensive algorithm named PARW-Rank for evaluating node influences has been proposed by applying preference relation analysis and random walk technique. For each basic measure, the preference relation between every node pair in a network is analyzed to construct the partial preference graph (PPG). Then, the comprehensive preference graph (CPG) is generated by combining the preference relations with respect to three basic measures. Finally, the ranking of nodes is determined by conducting random walk on the CPG. Furthermore, five public social networks are used for comparative analysis. The experimental results show that our PARW-Rank algorithm can achieve the higher precision and better stability than the existing methods with a single centrality measure.

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Influence maximization in social networks based on TOPSIS

Cited by 91 publications

References 41 publications

Analysis of the Air Quality and the Effect of Governance Policies in China’s Pearl River Delta, 2015–2018

Analysis of the Air Quality and the Effect of Governance Policies in China’s Pearl River Delta, 2015–2018

Evaluation of equipment maintenance quality: A hybrid multi-criteria decision-making approach

A Comprehensive Algorithm for Evaluating Node Influences in Social Networks Based on Preference Analysis and Random Walk

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