Mendeley | Further Information

{"title"=>"Learning from bees: An approach for influence maximization on viral campaigns", "type"=>"journal", "authors"=>[{"first_name"=>"C. Prem", "last_name"=>"Sankar", "scopus_author_id"=>"57192594857"}, {"first_name"=>"S.", "last_name"=>"Asharaf", "scopus_author_id"=>"57192590316"}, {"first_name"=>"K. Satheesh", "last_name"=>"Kumar", "scopus_author_id"=>"56896283400"}], "year"=>2016, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"85006930892", "doi"=>"10.1371/journal.pone.0168125", "pui"=>"613783530", "pmid"=>"27992472", "scopus"=>"2-s2.0-85006930892", "issn"=>"19326203", "isbn"=>"1932-6203"}, "id"=>"d7c54c64-e7c9-3aee-a114-3f4d814cc730", "abstract"=>"Maximisation of influence propagation is a key ingredient to any viral marketing or socio-political campaigns. However, it is an NP-hard problem, and various approximate algorithms have been suggested to address the issue, though not largely successful. In this paper, we propose a bio-inspired approach to select the initial set of nodes which is significant in rapid convergence towards a sub-optimal solution in minimal runtime. The performance of the algorithm is evaluated using the re-tweet network of the hashtag #KissofLove on Twitter associated with the non-violent protest against the moral policing spread to many parts of India. Comparison with existing centrality based node ranking process the proposed method significant improvement on influence propagation. The proposed algorithm is one of the hardly few bio-inspired algorithms in network theory. We also report the results of the exploratory analysis of the network kiss of love campaign.", "link"=>"http://www.mendeley.com/research/learning-bees-approach-influence-maximization-viral-campaigns", "reader_count"=>17, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Professor > Associate Professor"=>1, "Student > Doctoral Student"=>1, "Researcher"=>2, "Student > Ph. D. Student"=>1, "Student > Postgraduate"=>2, "Student > Master"=>3, "Student > Bachelor"=>3, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Professor > Associate Professor"=>1, "Student > Doctoral Student"=>1, "Researcher"=>2, "Student > Ph. D. Student"=>1, "Student > Postgraduate"=>2, "Student > Master"=>3, "Student > Bachelor"=>3, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Engineering"=>1, "Nursing and Health Professions"=>1, "Biochemistry, Genetics and Molecular Biology"=>1, "Agricultural and Biological Sciences"=>1, "Business, Management and Accounting"=>1, "Psychology"=>1, "Social Sciences"=>3, "Computer Science"=>4}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Social Sciences"=>{"Social Sciences"=>3}, "Psychology"=>{"Psychology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>1}, "Computer Science"=>{"Computer Science"=>4}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Unspecified"=>{"Unspecified"=>4}}, "group_count"=>1}

CrossRef

• http://doi.org/10.1007/s10844-020-00623-8
• http://doi.org/10.1109/ACCESS.2019.2943412
• http://doi.org/10.1016/j.knosys.2019.07.004
• http://doi.org/10.1016/j.knosys.2017.11.021
• http://doi.org/10.4018/IJSIR.2019040103
• http://doi.org/10.1142/S0129183121500121
• http://doi.org/10.1016/j.knosys.2020.106623
• http://doi.org/10.1007/s11042-017-5556-2
• http://doi.org/10.1016/j.knosys.2018.10.020
• http://doi.org/10.1016/j.physa.2018.09.040
• http://doi.org/10.1016/j.future.2018.11.035
• http://doi.org/10.1371/journal.pone.0209372
• http://doi.org/10.1016/j.future.2018.04.006
• http://doi.org/10.1016/j.knosys.2018.06.013
• http://doi.org/10.1016/j.eswa.2019.113092
• http://doi.org/10.1007/s10115-020-01461-4

Scopus | Further Information

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• {"unique-ip"=>"15", "full-text"=>"14", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"10"}
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• {"unique-ip"=>"15", "full-text"=>"17", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"4"}
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• {"unique-ip"=>"9", "full-text"=>"7", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"11"}
• {"unique-ip"=>"10", "full-text"=>"7", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"12"}
• {"unique-ip"=>"8", "full-text"=>"8", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2021", "month"=>"1"}

F1000Prime