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  "Description": "Extends vectors to include graph relationships between\ntheir elements, and offers tools to compute useful summaries of\nthe graph structure for use in summarising, filtering, and\notherwise manipulating the graph. Node identity is positional\nrather than value-based, so isolated nodes and repeated values\nare represented without special handling. Three complementary\ndata structures are provided, each an ordinary vector that\nstays a column in a data frame and slices consistently with it:\n'node_vec' is vectorised along the nodes of a graph, 'edge_vec'\nis vectorised along its edges, and 'agg_vec' (with the tabular\n'agg_df') represents the aggregation structure common in data\nanalysis, such as a total row over a set of categories. This\nmakes graph relationships a native part of tidy rectangular\ndata analysis workflows, alongside tools such as those in\n'dplyr'. Each of these can also be converted to 'igraph'\nobjects for further analysis.",
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        "as.igraph.agg_vec",
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