The Community Structure of the Global Corporate Network
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{"title"=>"The Community Structure of the Global Corporate Network", "type"=>"journal", "authors"=>[{"first_name"=>"Stefania", "last_name"=>"Vitali"}, {"first_name"=>"Stefano", "last_name"=>"Battiston"}], "year"=>2013, "identifiers"=>{"doi"=>"10.1371/journal.pone.0104655", "pmid"=>"25126722", "issn"=>"19326203", "arxiv"=>"1301.2363"}, "id"=>"27a0b4e8-d901-37d7-8863-327519900ead", "abstract"=>"We investigate the community structure of the global ownership network of transnational corporations. We find a pronounced organization in communities that cannot be explained by randomness. Despite the global character of this network, communities reflect first of all the geographical location of firms, while the industrial sector plays only a marginal role. We also analyze the network in which the nodes are the communities and the links are obtained by aggregating the links among firms belonging to pairs of communities. We analyze the network centrality of the top 50 communities and we provide the first quantitative assessment of the financial sector role in connecting the global economy.", "link"=>"http://www.mendeley.com/research/community-structure-global-corporate-network-7", "reader_count"=>5, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Student > Ph. D. Student"=>2, "Student > Bachelor"=>1, "Lecturer"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Student > Ph. D. Student"=>2, "Student > Bachelor"=>1, "Lecturer"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Mathematics"=>1, "Physics and Astronomy"=>1, "Computer Science"=>1}, "reader_count_by_subdiscipline"=>{"Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Computer Science"=>{"Computer Science"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>2}}, "reader_count_by_country"=>{"United States"=>1}, "group_count"=>0}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1638460"], "description"=>"<p>The node size is proportional to the number of firms populating the community. Edge labels indicate the number of links between communities (in thousand). The links with less than 50 ownership relations have been omitted.</p>", "links"=>[], "tags"=>["sector role", "community structure", "50 communities", "ownership network", "network centrality"], "article_id"=>1141229, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Stefania Vitali", "Stefano Battiston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0104655.g005", "stats"=>{"downloads"=>0, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Nodes_correspond_to_the_top_eight_communities_and_they_are_labeled_with_the_abbreviation_of_the_dominating_countries_colored_in_blue_if_EU_countries_and_in_red_for_the_US_/1141229", "title"=>"Nodes correspond to the top eight communities and they are labeled with the abbreviation of the dominating countries, colored in blue if EU countries and in red for the US.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-08-15 04:35:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/1638456"], "description"=>"<p>The color intensity indicates the percentage of nodes that belong, at the same time, to a Louvain and a Infomap community, computed with respect to the minimum size of the two communities.</p>", "links"=>[], "tags"=>["sector role", "community structure", "50 communities", "ownership network", "network centrality"], "article_id"=>1141225, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Stefania Vitali", "Stefano Battiston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0104655.g004", "stats"=>{"downloads"=>1, "page_views"=>18, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Scatter_plot_of_the_top_20_communities_with_the_Louvain_row_and_the_Infomap_column_algorithms_/1141225", "title"=>"Scatter plot of the top 20 communities with the Louvain (row) and the Infomap (column) algorithms.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-08-15 04:35:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/1638454"], "description"=>"<p>Moving along the x axes corresponds, for a community, to have more firms from the dominant sector. While moving along the y axes corresponds, for a community, to have more firms from the dominant country. For instance, a circle in the top right area represents a community with a large fraction of firms from one sector and one country. The size of the circles is proportional to the number of firms belonging to the community, while the color to the firm localization country (blue for EU, red for North American, yellow for Asian, green for fiscal paradise and magenta for all the other countries). The fact that most circles are located above the diagonal implies that the country dominance tends to be more pronounced than the sector dominance. This is particularly true for small communities.</p>", "links"=>[], "tags"=>["sector role", "community structure", "50 communities", "ownership network", "network centrality"], "article_id"=>1141223, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Stefania Vitali", "Stefano Battiston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0104655.g003", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_x_and_y_coordinate_of_a_given_circle_represent_respectively_the_share_of_firms_in_the_dominant_sector_and_country_of_a_given_community_/1141223", "title"=>"The x and y coordinate of a given circle represent, respectively, the share of firms in the dominant sector and country of a given community.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-08-15 04:35:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/1638468"], "description"=>"<p>The name of each over-expressed sector is reported for the top 8 communities. In parenthesis, we report the percentage of firms belonging to each over-expressed sector in the selected community with respect to the total number of firms of that sector.</p>", "links"=>[], "tags"=>["sector role", "community structure", "50 communities", "ownership network", "network centrality"], "article_id"=>1141237, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Stefania Vitali", "Stefano Battiston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0104655.t003", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Statistics_of_the_sector_characterization_across_communities_/1141237", "title"=>"Statistics of the sector characterization across communities.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-08-15 04:35:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/1638453"], "description"=>"<p>Decumulative distribution function of the size of the communities in the empirical (in red) and in all reshuffled (in blue scale) networks.</p>", "links"=>[], "tags"=>["sector role", "community structure", "50 communities", "ownership network", "network centrality"], "article_id"=>1141222, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Stefania Vitali", "Stefano Battiston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0104655.g002", "stats"=>{"downloads"=>0, "page_views"=>29, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Decumulative_distribution_function_of_the_size_of_the_communities_in_the_empirical_in_red_and_in_all_reshuffled_in_blue_scale_networks_/1141222", "title"=>"Decumulative distribution function of the size of the communities in the empirical (in red) and in all reshuffled (in blue scale) networks.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-08-15 04:35:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/1638467"], "description"=>"<p>Herf. C is the Herfindhal index of the country concentration; % C1 is the share of companies localized in the country which dominate the community; C1 is the first dominant country; C2 is the second dominant country; Herf. S is the Herfindhal index of the sector concentration; % S1 is the share of companies active in the sector which dominate the community; S1 is the first dominant sector; S2 is the second dominant sector.</p>", "links"=>[], "tags"=>["sector role", "community structure", "50 communities", "ownership network", "network centrality"], "article_id"=>1141236, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Stefania Vitali", "Stefano Battiston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0104655.t001", "stats"=>{"downloads"=>3, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Statistics_on_the_top_8_communities_/1141236", "title"=>"Statistics on the top 8 communities.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-08-15 04:35:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/1638470"], "description"=>"<p>The size, the number of directed relations and the density are reported.</p>", "links"=>[], "tags"=>["sector role", "community structure", "50 communities", "ownership network", "network centrality"], "article_id"=>1141239, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Stefania Vitali", "Stefano Battiston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0104655.t005", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Statistics_on_the_largest_communities_with_and_without_financial_intermediaries_/1141239", "title"=>"Statistics on the largest communities with and without financial intermediaries.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-08-15 04:35:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/1638471"], "description"=>"<p>Herf. C is the Herfindhal index of the country concentration; % C1 is the share of companies localized in the country which dominate the community; C1 is the first dominant country; C2 is the second dominant country; Herf. S is the Herfindhal index of the sector concentration; % S1 is the share of companies active in the sector which dominate the community; S1 is the first dominant sector; S2 is the second dominant sector.</p>", "links"=>[], "tags"=>["sector role", "community structure", "50 communities", "ownership network", "network centrality"], "article_id"=>1141240, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Stefania Vitali", "Stefano Battiston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0104655.t004", "stats"=>{"downloads"=>4, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Statistics_on_the_top_8_communities_detected_with_the_Infomap_algorithm_/1141240", "title"=>"Statistics on the top 8 communities detected with the Infomap algorithm.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-08-15 04:35:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/1638452"], "description"=>"<p>As a comparison, a power-law fit with exponent is shown.</p>", "links"=>[], "tags"=>["sector role", "community structure", "50 communities", "ownership network", "network centrality"], "article_id"=>1141221, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Stefania Vitali", "Stefano Battiston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0104655.g001", "stats"=>{"downloads"=>2, "page_views"=>19, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Decumulative_distribution_function_of_the_size_of_the_connected_components_/1141221", "title"=>"Decumulative distribution function of the size of the connected components.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-08-15 04:35:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/1638469"], "description"=>"<p>The name of each over-expressed country is reported for the top 8 communities. In parentheses, the percentage share of firms belonging to each over-expressed country in the selected community with respect to the total number of firms of that country.</p>", "links"=>[], "tags"=>["sector role", "community structure", "50 communities", "ownership network", "network centrality"], "article_id"=>1141238, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Stefania Vitali", "Stefano Battiston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0104655.t002", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Statistics_of_the_country_characterization_across_communities_/1141238", "title"=>"Statistics of the country characterization across communities.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-08-15 04:35:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/1638466"], "description"=>"<p>Each curve displays the values of Debtrank (y-axis) across the top communities, sorted in descending order. On the x-axis is the index of the community according to this sorting. The red curve refers to the whole network. The blue dots refer to the network in which the financial sector has been removed. The solid green curve is the average across the 25 randomized samples, while the upper and lower green dashed curves correspond to the average plus or minus one standard deviation of the values on the y-axis in the 25 samples. The figure shows, that removing the financial sector has an effect on the centrality of the community that deviates strongly from the one of randomly removing an equivalent number of firms.</p>", "links"=>[], "tags"=>["sector role", "community structure", "50 communities", "ownership network", "network centrality"], "article_id"=>1141235, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Stefania Vitali", "Stefano Battiston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0104655.g007", "stats"=>{"downloads"=>1, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_of_Debtrank_the_case_with_no_financial_sector_vs_randomized_samples_/1141235", "title"=>"Comparison of Debtrank: the case with no financial sector vs randomized samples.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-08-15 04:35:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/1638465"], "description"=>"<p>Outgoing links represent the estimated potential impact of a community to another one. The closer a node is to the center the higher is its DebtRank (e.g., its centrality). The size of the node reflects the number of firms in the community (the size is set larger than a minimum, for visualization purposes). The color of the nodes corresponds to the dominant sector country, as well as the label. The color of a link reflects the DebtRank of the node from which it originates (see <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0104655#pone.0104655-Battiston1\" target=\"_blank\">[9]</a> for more detail on the figure construction). Community network after removing from the community partition the firms in the financial −46632 firms- (A), in the original dataset (B) and after removing manufacturing −66212 firms- (C), primary −5787 firms- (D), business activities −130587 firms- (E), services −99839 firms- (F) and state and social −21355 firms- (G) sectors.</p>", "links"=>[], "tags"=>["sector role", "community structure", "50 communities", "ownership network", "network centrality"], "article_id"=>1141234, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Stefania Vitali", "Stefano Battiston"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0104655.g006", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Nodes_represent_the_communities_/1141234", "title"=>"Nodes represent the communities.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-08-15 04:35:13"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"19", "full-text"=>"18", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"9"}
  • {"unique-ip"=>"6", "full-text"=>"5", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"10"}
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  • {"unique-ip"=>"13", "full-text"=>"21", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2017", "month"=>"12"}
  • {"unique-ip"=>"9", "full-text"=>"11", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"1"}
  • {"unique-ip"=>"23", "full-text"=>"26", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"8", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"3"}
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Relative Metric

{"start_date"=>"2014-01-01T00:00:00Z", "end_date"=>"2014-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Computer and information sciences", "average_usage"=>[327, 511]}, {"subject_area"=>"/Computer and information sciences/Data visualization", "average_usage"=>[330, 480]}, {"subject_area"=>"/Earth sciences", "average_usage"=>[318]}, {"subject_area"=>"/Earth sciences/Geography", "average_usage"=>[310]}, {"subject_area"=>"/Ecology and environmental sciences", "average_usage"=>[320]}, {"subject_area"=>"/Ecology and environmental sciences/Ecology", "average_usage"=>[313]}, {"subject_area"=>"/Physical sciences/Mathematics", "average_usage"=>[286]}, {"subject_area"=>"/Social sciences", "average_usage"=>[318]}, {"subject_area"=>"/Social sciences/Economics", "average_usage"=>[340, 521]}]}
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