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  "Title": "Quickly Build and Manipulate Financial Networks",
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  "Authors@R": "person('Fabio Ashtar', 'Telarico', email = 'Fabio-Ashtar.Telarico@fdv.uni-lj.si',\nrole = c('aut','cre'), comment = c(ORCID = '0000-0002-8740-7078'))",
  "Maintainer": "Fabio Ashtar Telarico <Fabio-Ashtar.Telarico@fdv.uni-lj.si>",
  "Description": "Providing classes, methods, and functions to deal with\nfinancial networks. Users can easily store information about\nboth physical and legal persons by using pre-made classes that\nare studied for integration with scraping packages such as\n'rvest' and 'RSelenium'. Moreover, the package assists in\ncreating various types of financial networks depending on the\ntype of relation between its units depending on the relation\nunder scrutiny (ownership, board interlocks, etc.), the desired\ntie type (valued or binary), and renders them in the most\ncommon formats (adjacency matrix, incidence matrix, edge list,\n'igraph', 'network'). There are also ad-hoc functions for the\nFiedler value, global network efficiency, and cascade-failure\nanalysis.",
  "License": "GPL (>= 3)",
  "URL": "https://fatelarico.github.io/FinNet.html",
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    "as.firm",
    "cfa",
    "colnames",
    "duplicated",
    "E",
    "ecount",
    "edgecount",
    "FF",
    "FF.binary.both",
    "FF.binary.management",
    "FF.binary.ownership",
    "FF.graph",
    "FF.graph.custom",
    "FF.naive.both",
    "FF.naive.management",
    "FF.naive.ownership",
    "FF.net",
    "FF.net.custom",
    "FF.norm.both",
    "FF.norm.management",
    "FF.norm.ownership",
    "fiedler",
    "find.firm",
    "find.firms",
    "find.people",
    "FM",
    "FO.binary",
    "FO.naive",
    "FO.norm",
    "gorder",
    "gsize",
    "isSymmetric",
    "ncol",
    "network.efficiency",
    "network.size",
    "nrow",
    "plot_igraph",
    "plot_network",
    "print",
    "query.firm",
    "query.firms",
    "query.firms.dataframe",
    "register.firm",
    "rownames",
    "subset",
    "summary",
    "unique",
    "V",
    "vcount",
    "vertex.names"
  ],
  "_datasets": [
    {
      "name": "firms_BKB",
      "title": "Complete Berkshire Hathaway Portfolio",
      "object": "firms_BKB",
      "file": "firms_BKB.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "firms_US",
      "title": "Three US firms",
      "object": "firms_US",
      "file": "firms_US.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    }
  ],
  "_help": [
    {
      "page": "as.firm",
      "title": "Coerce into (a list of) 'firm' object(s)",
      "topics": [
        "as.firm"
      ]
    },
    {
      "page": "as.firm-financial_matrix-method",
      "title": "Coerce a 'financial_matrix' object into a list of 'firm' objects",
      "topics": [
        "as.firm,financial_matrix-method"
      ]
    },
    {
      "page": "bonacich",
      "title": "Compute Bonacich centrality on a Firm-Firm network",
      "topics": [
        "bonacich"
      ]
    },
    {
      "page": "cfa",
      "title": "Perform cascade failure analysis",
      "topics": [
        "cfa"
      ]
    },
    {
      "page": "FF",
      "title": "Create any firm-firm (FF) matrix",
      "concept": [
        "Financial_matrix builders"
      ],
      "topics": [
        "FF"
      ]
    },
    {
      "page": "FF-basic-methods",
      "title": "Basic methods for objects of class 'financial_matrix'",
      "topics": [
        "colnames,financial_matrix-method",
        "FF-basic-methods",
        "rownames,financial_matrix-method"
      ]
    },
    {
      "page": "FF-comparison-methods",
      "title": "Basic method to check to compare values in a 'financial_matrix' object",
      "topics": [
        "duplicated,financial_matrix,logical-method",
        "FF-comparison-methods",
        "unique,financial_matrix,logical-method"
      ]
    },
    {
      "page": "FF-math-methods",
      "title": "Mathematical methods for 'financial_matrix' objects",
      "topics": [
        "FF-math-methods",
        "isSymmetric,financial_matrix-method",
        "summary,financial_matrix-method"
      ]
    },
    {
      "page": "FF-nrow-ncol",
      "title": "Number of rows/columns in a 'financial_matrix' object",
      "topics": [
        "FF-nrow-ncol",
        "ncol,financial_matrix-method",
        "nrow,financial_matrix-method"
      ]
    },
    {
      "page": "FF-subset-method",
      "title": "Method to subset a 'financial_matrix'",
      "topics": [
        "FF-subset-method",
        "subset,financial_matrix-method"
      ]
    },
    {
      "page": "FF.binary.both",
      "title": "Create a complete binary firm-firm (FF) matrix",
      "concept": [
        "Financial_matrix builders"
      ],
      "topics": [
        "FF.binary.both"
      ]
    },
    {
      "page": "FF.binary.management",
      "title": "Create a binary firm-firm (FF) matrix for board interlocks",
      "concept": [
        "Financial_matrix builders"
      ],
      "topics": [
        "FF.binary.management"
      ]
    },
    {
      "page": "FF.binary.ownership",
      "title": "Create a binary firm-firm (FF) matrix for common ownership",
      "concept": [
        "Financial_matrix builders"
      ],
      "topics": [
        "FF.binary.ownership"
      ]
    },
    {
      "page": "FF.graph",
      "title": "Easily represent a firm-firm (FF) network using the package 'igraph'",
      "topics": [
        "FF.graph"
      ]
    },
    {
      "page": "FF.graph.custom",
      "title": "Represent a firm-firm (FF) network using the package 'igraph'",
      "topics": [
        "FF.graph.custom"
      ]
    },
    {
      "page": "FF.naive.both",
      "title": "Create a complete naive-valued firm-firm (FF) matrix",
      "concept": [
        "Financial_matrix builders"
      ],
      "topics": [
        "FF.naive.both"
      ]
    },
    {
      "page": "FF.naive.management",
      "title": "Create a naive-valued firm-firm (FF) matrix for boards interlocks",
      "concept": [
        "Financial_matrix builders"
      ],
      "topics": [
        "FF.naive.management"
      ]
    },
    {
      "page": "FF.naive.ownership",
      "title": "Create a naive-valued firm-firm (FF) matrix for common ownership",
      "concept": [
        "Financial_matrix builders"
      ],
      "topics": [
        "FF.naive.ownership"
      ]
    },
    {
      "page": "FF.net",
      "title": "Easily represent a firm-firm (FF) network using the package 'network'",
      "topics": [
        "FF.net"
      ]
    },
    {
      "page": "FF.net.custom",
      "title": "Represent a firm-firm (FF) network using the package 'network'",
      "topics": [
        "FF.net.custom"
      ]
    },
    {
      "page": "FF.norm.both",
      "title": "Create a complete normalised-valued firm-firm (FF) matrix",
      "concept": [
        "Financial_matrix builders"
      ],
      "topics": [
        "FF.norm.both"
      ]
    },
    {
      "page": "FF.norm.management",
      "title": "Create a normalised-valued firm-firm (FF) matrix for boards interlocks",
      "concept": [
        "Financial_matrix builders"
      ],
      "topics": [
        "FF.norm.management"
      ]
    },
    {
      "page": "FF.norm.ownership",
      "title": "Create a normalised-valued firm-firm (FF) matrix for common ownership",
      "concept": [
        "Financial_matrix builders"
      ],
      "topics": [
        "FF.norm.ownership"
      ]
    },
    {
      "page": "fiedler",
      "title": "Calculate the Fiedler value (algebraic connectivity)",
      "topics": [
        "fiedler"
      ]
    },
    {
      "page": "find.firm",
      "title": "Function to create a 'firm' (legal person) using data from 'Yahoo! Finance'",
      "topics": [
        "find.firm"
      ]
    },
    {
      "page": "find.firms",
      "title": "Function to create mutiple 'firms' (legal persons) using data from 'Yahoo! Finance'",
      "topics": [
        "find.firms"
      ]
    },
    {
      "page": "find.people",
      "title": "Extract all the unique people associated to at least one of the provided 'firm' objects",
      "topics": [
        "find.people"
      ]
    },
    {
      "page": "firms_BKB",
      "title": "Complete Berkshire Hathaway Portfolio",
      "topics": [
        "firms_BKB"
      ]
    },
    {
      "page": "firms_US",
      "title": "Three US firms",
      "topics": [
        "firms_US"
      ]
    },
    {
      "page": "FM",
      "title": "Function to create a (necessarily binary) firm-manager (FM) matrix",
      "topics": [
        "FM"
      ]
    },
    {
      "page": "FO.binary",
      "title": "Function to create a binary firm-owner (FO) matrix",
      "topics": [
        "FO.binary"
      ]
    },
    {
      "page": "FO.naive",
      "title": "Function to create a naive-valued firm-owner (FO) matrix",
      "topics": [
        "FO.naive"
      ]
    },
    {
      "page": "FO.norm",
      "title": "Function to create a naive-valued firm-owner (FO) matrix",
      "topics": [
        "FO.norm"
      ]
    },
    {
      "page": "fun-igraph_financial",
      "title": "Extending 'igraph' functions to 'igraph_financial' objects",
      "topics": [
        "E",
        "ecount",
        "gorder",
        "graph_methods",
        "gsize",
        "plot_igraph",
        "V",
        "vcount"
      ]
    },
    {
      "page": "igraph_E_iterators",
      "title": "igraph edge iterators for 'igraph_financial' objects",
      "topics": [
        "E,igraph-method",
        "E,igraph_financial-method",
        "ecount,igraph-method",
        "ecount,igraph_financial-method",
        "gsize,igraph-method",
        "gsize,igraph_financial-method",
        "igraph_E_iterators"
      ]
    },
    {
      "page": "igraph_financial",
      "title": "An S4 class for relational data extending the package igraph",
      "topics": [
        "igraph_financial",
        "igraph_financial-class"
      ]
    },
    {
      "page": "igraph_v_iterators",
      "title": "igraph vertex iterators for 'igraph_financial' objects",
      "topics": [
        "gorder,igraph-method",
        "gorder,igraph_financial-method",
        "igraph_v_iterators",
        "V,igraph-method",
        "V,igraph_financial-method",
        "vcount,igraph-method",
        "vcount,igraph_financial-method"
      ]
    },
    {
      "page": "network_financial",
      "title": "An S4 class for relational data extending the package network",
      "topics": [
        "network_financial",
        "network_financial-class"
      ]
    },
    {
      "page": "fun-network_financial",
      "title": "Extending 'newtwork' functions to 'newtwork_financial' objects",
      "topics": [
        "edgecount",
        "network.size",
        "network_methods",
        "plot_network",
        "vertex.names"
      ]
    },
    {
      "page": "network_operators",
      "title": "Operators for 'network_financial' objects",
      "topics": [
        "edgecount,network-method",
        "edgecount,network_financial-method",
        "network.size,network-method",
        "network.size,network_financial-method",
        "network_operators",
        "vertex.names,network-method",
        "vertex.names,network_financial-method"
      ]
    },
    {
      "page": "network.efficiency",
      "title": "Calculate network efficiency",
      "topics": [
        "network.efficiency"
      ]
    },
    {
      "page": "plot_igraph-methods",
      "title": "igraph plotting for 'igraph_financial' objects",
      "topics": [
        "plot_igraph,igraph-method",
        "plot_igraph,igraph_financial-method",
        "plot_igraph-methods"
      ]
    },
    {
      "page": "plot_network-methods",
      "title": "network plotting for 'igraph_financial' objects",
      "topics": [
        "plot_network,network-method",
        "plot_network,network_financial-method",
        "plot_network-methods"
      ]
    },
    {
      "page": "print-firm-method",
      "title": "Print information on a class 'firm' object",
      "topics": [
        "print,firm-method"
      ]
    },
    {
      "page": "query.firm",
      "title": "Function to extract information from a 'firm' object (legal person)",
      "topics": [
        "query.firm"
      ]
    },
    {
      "page": "query.firms",
      "title": "Function to extract information from multiple 'firm' object (legal person)",
      "topics": [
        "query.firms"
      ]
    },
    {
      "page": "query.firms.dataframe",
      "title": "Function to extract information from multiple 'firm' object (legal person) as a data frame",
      "topics": [
        "query.firms.dataframe"
      ]
    },
    {
      "page": "register.firm",
      "title": "Function to create a 'firm' (legal person)",
      "topics": [
        "register.firm"
      ]
    }
  ],
  "_readme": "https://github.com/fatelarico/finnet/raw/HEAD/README.md",
  "_rundeps": [
    "lattice",
    "Matrix",
    "Rcpp"
  ],
  "_sysdeps": [
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      "shlib": "libstdc++",
      "package": "libstdc++6",
      "source": "gcc",
      "version": "14.2.0-4ubuntu2~24.04.1",
      "name": "c++",
      "homepage": "http://gcc.gnu.org/",
      "description": "GNU Standard C++ Library v3"
    }
  ],
  "_vignettes": [
    {
      "source": "analysis_examples.Rmd",
      "filename": "analysis_examples.html",
      "title": "Example analyses",
      "author": "| Fabio Ashtar Telarico* | University of Ljubljana, FDV | *Fabio-Ashtar.Telarico@fdv.uni-lj.si",
      "engine": "knitr::knitr",
      "headings": [
        "Introduction",
        "1. Algebraic connectivity",
        "2. Efficiency analysis",
        "3. Cascade failure analysis"
      ],
      "created": "2024-10-29 10:21:28",
      "modified": "2024-10-29 10:21:28",
      "commits": 1
    },
    {
      "source": "workflow-igraph_financial.Rmd",
      "filename": "workflow-igraph_financial.html",
      "title": "Example workflow (igraph edition)",
      "author": "| Fabio Ashtar Telarico* | University of Ljubljana, FDV | *Fabio-Ashtar.Telarico@fdv.uni-lj.si",
      "engine": "knitr::knitr",
      "headings": [
        "Introduction",
        "1. Data retrieval",
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