Diversification versus Specialization in Complex Ecosystems
Publication Date
November 10, 2014
Journal
PLOS ONE
Authors
Riccardo Di Clemente, Guido L. Chiarotti, Matthieu Cristelli, Andrea Tacchella, et al
Volume
9
Issue
11
Pages
e112525
DOI
https://dx.plos.org/10.1371/journal.pone.0112525
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0112525
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/25384059
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4226558
Europe PMC
http://europepmc.org/abstract/MED/25384059
Web of Science
000344816700076
Scopus
84911381098
Mendeley
http://www.mendeley.com/research/diversification-versus-specialization-complex-ecosystems
Events
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Mendeley | Further Information

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Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1785628"], "description"=>"<p><b>a.</b> The worldwide distribution of the <i>revenue diversification barrier α</i>. The <i>α</i> tends to reflect geographical proximity and to cluster at the macro regional level. <b>b.</b> The scatter plot of firm revenues against firm diversification for thee paradigmatic countries. Except for Italy, the data draw a peculiar shape with a clear lower boundary. The angular coefficient of this linear boundary is what we define as the <i>revenue diversification barrier α</i>. <b>c.</b> The histogram of <i>α</i>. Colors are consistent with those used in panels a. and b.</p>", "links"=>[], "tags"=>["diversification process", "specialization", "revenue", "dynamic", "entity", "firms diversification process", "information", "Complex Ecosystems", "relevance", "parameter", "ecosystem", "finding", "understanding", "model", "data show", "diversification", "introduction", "production sectors", "macro", "country level", "novel dimension"], "article_id"=>1234149, "categories"=>["Uncategorised"], "users"=>["Riccardo Di Clemente", "Guido L. Chiarotti", "Matthieu Cristelli", "Andrea Tacchella", "Luciano Pietronero"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0112525.g001", "stats"=>{"downloads"=>0, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Revenue_diversification_barrier_945_/1234149", "title"=>"Revenue diversification barrier <i>α</i>.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-11-10 02:42:57"}
  • {"files"=>["https://ndownloader.figshare.com/files/1785630"], "description"=>"<p>The plot shows a clear negative correlation between these two variables. Blue and Green markets are clearly separated by both variables, suggesting that firms in diversification-prone markets tend to diversify more and more coherently (i.e. with a smaller diversification distance). South Korea (lighter blue) appears to be an outlier and removing it from the regression improves the quality of the fit (PValue decreases and <i>R</i><sup>2</sup> increases).</p>", "links"=>[], "tags"=>["diversification process", "specialization", "revenue", "dynamic", "entity", "firms diversification process", "information", "Complex Ecosystems", "relevance", "parameter", "ecosystem", "finding", "understanding", "model", "data show", "diversification", "introduction", "production sectors", "macro", "country level", "novel dimension"], "article_id"=>1234151, "categories"=>["Uncategorised"], "users"=>["Riccardo Di Clemente", "Guido L. Chiarotti", "Matthieu Cristelli", "Andrea Tacchella", "Luciano Pietronero"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0112525.g002", "stats"=>{"downloads"=>3, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Diversification_distance_against_revenue_diversification_barrier_/1234151", "title"=>"Diversification distance against revenue diversification barrier.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-11-10 02:42:57"}
  • {"files"=>["https://ndownloader.figshare.com/files/1785631"], "description"=>"<p>By making an analogy between the performance as defined in the present model and the revenues of a firm, it is possible to observe a lower boundary extremely similar to those observed in the real data, even in its functional form. The numbered labels indicate respectively the phase zone in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0112525#pone-0112525-g004\" target=\"_blank\">Fig. 4</a>.</p>", "links"=>[], "tags"=>["diversification process", "specialization", "revenue", "dynamic", "entity", "firms diversification process", "information", "Complex Ecosystems", "relevance", "parameter", "ecosystem", "finding", "understanding", "model", "data show", "diversification", "introduction", "production sectors", "macro", "country level", "novel dimension"], "article_id"=>1234152, "categories"=>["Uncategorised"], "users"=>["Riccardo Di Clemente", "Guido L. Chiarotti", "Matthieu Cristelli", "Andrea Tacchella", "Luciano Pietronero"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0112525.g003", "stats"=>{"downloads"=>4, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Performance_versus_diversification_in_the_model_/1234152", "title"=>"Performance versus diversification in the model.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-11-10 02:42:57"}
  • {"files"=>["https://ndownloader.figshare.com/files/1785633"], "description"=>"<p>The diversification barrier <i>α</i> decreases in tolerant ecosystems and with increasing easiness of diversification <i>P<sub>div</sub></i>. The numbers indicate the phase diagram zones explored by the model “countries” whose scatter plot of performance versus diversification are reported in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0112525#pone-0112525-g003\" target=\"_blank\">Fig. 3</a>. As green zone are populated by high diversification barrier “countries”, while purple zone by the lower barrier “countries”.</p>", "links"=>[], "tags"=>["diversification process", "specialization", "revenue", "dynamic", "entity", "firms diversification process", "information", "Complex Ecosystems", "relevance", "parameter", "ecosystem", "finding", "understanding", "model", "data show", "diversification", "introduction", "production sectors", "macro", "country level", "novel dimension"], "article_id"=>1234154, "categories"=>["Uncategorised"], "users"=>["Riccardo Di Clemente", "Guido L. Chiarotti", "Matthieu Cristelli", "Andrea Tacchella", "Luciano Pietronero"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0112525.g004", "stats"=>{"downloads"=>1, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_phase_diagram_of_the_model_obtained_numerically_/1234154", "title"=>"The phase diagram of the model obtained numerically.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-11-10 02:42:57"}
  • {"files"=>["https://ndownloader.figshare.com/files/1785634"], "description"=>"<p><b>a.</b> The firm-sector matrix exhibits a pattern similar to a random case emphasizing the firm' specialization. <b>b.</b> On the contrary aggregating the data on country level a non-random pattern emerges, corresponding to the presence of a nested structure.</p>", "links"=>[], "tags"=>["diversification process", "specialization", "revenue", "dynamic", "entity", "firms diversification process", "information", "Complex Ecosystems", "relevance", "parameter", "ecosystem", "finding", "understanding", "model", "data show", "diversification", "introduction", "production sectors", "macro", "country level", "novel dimension"], "article_id"=>1234155, "categories"=>["Uncategorised"], "users"=>["Riccardo Di Clemente", "Guido L. Chiarotti", "Matthieu Cristelli", "Andrea Tacchella", "Luciano Pietronero"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0112525.g005", "stats"=>{"downloads"=>3, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_between_the_real_data_red_and_a_random_realization_with_same_density_green_/1234155", "title"=>"Comparison between the real data (red) and a random realization with same density (green).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-11-10 02:42:57"}
  • {"files"=>["https://ndownloader.figshare.com/files/1785638"], "description"=>"<p><b>a–b.</b> The decay is well fitted by an exponential law <i>y</i> = <i>Ae<sup>βx</sup></i> for all the countries examined. Values of <i>β</i> from regressions are shown in <b>c.</b> where each blue dot represents the coefficient <i>β</i> and its standard error for a specific country. The solid red line is the average value of <i>β</i> on all countries with more than 100 quoted firms. The shaded area in the plot marks one standard deviation. Most of the countries display a consistent decay of <i>α</i> with the percentile used thus making the particular choice of a percentile not relevant.</p>", "links"=>[], "tags"=>["diversification process", "specialization", "revenue", "dynamic", "entity", "firms diversification process", "information", "Complex Ecosystems", "relevance", "parameter", "ecosystem", "finding", "understanding", "model", "data show", "diversification", "introduction", "production sectors", "macro", "country level", "novel dimension"], "article_id"=>1234159, "categories"=>["Uncategorised"], "users"=>["Riccardo Di Clemente", "Guido L. Chiarotti", "Matthieu Cristelli", "Andrea Tacchella", "Luciano Pietronero"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0112525.g006", "stats"=>{"downloads"=>2, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Dependency_of_945_on_different_percentile_cut_offs_for_two_sample_countries_/1234159", "title"=>"Dependency of <i>α</i> on different percentile cut-offs for two sample countries.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-11-10 02:42:57"}
  • {"files"=>["https://ndownloader.figshare.com/files/1785642"], "description"=>"<p>Examples of network distance as defined in Eq. 1.</p>", "links"=>[], "tags"=>["diversification process", "specialization", "revenue", "dynamic", "entity", "firms diversification process", "information", "Complex Ecosystems", "relevance", "parameter", "ecosystem", "finding", "understanding", "model", "data show", "diversification", "introduction", "production sectors", "macro", "country level", "novel dimension"], "article_id"=>1234163, "categories"=>["Uncategorised"], "users"=>["Riccardo Di Clemente", "Guido L. Chiarotti", "Matthieu Cristelli", "Andrea Tacchella", "Luciano Pietronero"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0112525.g007", "stats"=>{"downloads"=>7, "page_views"=>27, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Examples_of_network_distance_as_defined_in_Eq_1_/1234163", "title"=>"Examples of network distance as defined in Eq. 1.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-11-10 02:42:57"}
  • {"files"=>["https://ndownloader.figshare.com/files/1785644"], "description"=>"<p>The resulting networks with link weights equal to <i>d<sub>i,j</sub></i> for two hypothetical situations are shown in panels a and b. On these networks minimal spanning trees are determined via the Chu-Liu/Edmond's algorithm.</p>", "links"=>[], "tags"=>["diversification process", "specialization", "revenue", "dynamic", "entity", "firms diversification process", "information", "Complex Ecosystems", "relevance", "parameter", "ecosystem", "finding", "understanding", "model", "data show", "diversification", "introduction", "production sectors", "macro", "country level", "novel dimension"], "article_id"=>1234165, "categories"=>["Uncategorised"], "users"=>["Riccardo Di Clemente", "Guido L. Chiarotti", "Matthieu Cristelli", "Andrea Tacchella", "Luciano Pietronero"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0112525.g008", "stats"=>{"downloads"=>8, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_New_resulting_network_/1234165", "title"=>"New resulting network.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-11-10 02:42:57"}
  • {"files"=>["https://ndownloader.figshare.com/files/1785646", "https://ndownloader.figshare.com/files/1785647"], "description"=>"<div><p>By analyzing the distribution of revenues across the production sectors of quoted firms we suggest a novel dimension that drives the firms diversification process at country level. Data show a non trivial macro regional clustering of the diversification process, which underlines the relevance of geopolitical environments in determining the microscopic dynamics of economic entities. These findings demonstrate the possibility of singling out in complex ecosystems those micro-features that emerge at macro-levels, which could be of particular relevance for decision-makers in selecting the appropriate parameters to be acted upon in order to achieve desirable results. The understanding of this micro-macro information exchange is further deepened through the introduction of a simplified dynamic model.</p></div>", "links"=>[], "tags"=>["diversification process", "specialization", "revenue", "dynamic", "entity", "firms diversification process", "information", "Complex Ecosystems", "relevance", "parameter", "ecosystem", "finding", "understanding", "model", "data show", "diversification", "introduction", "production sectors", "macro", "country level", "novel dimension"], "article_id"=>1234167, "categories"=>["Uncategorised"], "users"=>["Riccardo Di Clemente", "Guido L. Chiarotti", "Matthieu Cristelli", "Andrea Tacchella", "Luciano Pietronero"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0112525.s001", "https://dx.doi.org/10.1371/journal.pone.0112525.s002"], "stats"=>{"downloads"=>53, "page_views"=>33, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Diversification_versus_Specialization_in_Complex_Ecosystems_/1234167", "title"=>"Diversification versus Specialization in Complex Ecosystems", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2014-11-10 02:42:57"}

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Relative Metric

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