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opinion leader’s selection with grey wolf optimizer algorithm on social networks
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نویسنده
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aghdam mohammad ,soleimanian gharehchopogh f. ,masdari m.
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منبع
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international journal of industrial mathematics - 2021 - دوره : 13 - شماره : 2 - صفحه:163 -174
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چکیده
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Opinion leaders in social networks are beneficial and we will be able to use their empowerment and influence by identifying them. in this paper, we have chosen the opinion leaders with grey wolf optimizer (gwo) algorithm. the results show, the number of actual opinion leaders identified by this algorithm is significant and the advantage of the proposed method is compatibility with different criteria and providing sustainability results in different ways.
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کلیدواژه
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opinion leader ,leadership ,grey wolf optimizer algorithm ,virtual communities ,social networks
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آدرس
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islamic azad university, urmia branch, department of computer engineering, iran, islamic azad university, urmia branch, department of computer engineering, iran, islamic azad university, urmia branch, department of computer engineering, iran
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Authors
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