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  • Database

    • ISI

      • Merge Identical ISI People – Merges all people in an ISI database who have the same name.
      • Suggest ISI People Merges – Generates a pre-annotated merging table based on a user-selected threshold  and string similarity metric.
      • Merge Document Sources – Merge document sources of documents and references based upon known name variants and abbreviations.
      • Create Document Source Merging Table
      • Match References to Papers – Matches references to papers if they have the same first author, source (journal), start page, volume, and year.
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      • Extract Authors – Outputs a table containing one row per author in the database.
      • Extract Documents – Outputs a table containing one row per document in the database.
      • Extract Keywords – Outputs a table containing one row per keyword in the database.
      • Extract Document Sources – Outputs a table containing one row per document source in the database.
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      • Extract Authors by Year – Outputs a table containing the amount of publications per author per year.
      • Extract References by Year – Outputs a table containing the amount of references to a publication per year.
      • Extract Original Author Keywords by Year – Outputs a table containing one row per original author keyword per year.
      • Extract New ISI Keywords by Year – Outputs a table containing one row per new ISI keyword per year.
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      • Extract Authors by Year for Burst Detection – Used for author burst detection.
      • Extract Documents by Year for Burst Detection – Used for word occurrence based burst detection.
      • Extract Original Author Keywords by Year for Burst Detection – Used for author keyword burst detection.
      • Extract New ISI Keywords by Year for Burst Detection – Used for new ISI keyword burst detection.
      • Extract References by Year for Burst Detection – Used to detecting bursting references to publications.
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      • Extract Longitudinal Summary – Outputs a table with the total number of documents published, references published, references made, distinct authors, distinct sources, distinct author keywords, distinct ISI keywords, and distinct other keywords by year.
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      • Extract Co-Author Network – Extracts a weighted, undirected network with authors as nodes and edges between authors who co-wrote papers.  The extraction appends to nodes the number of authored documents, ISI's times-cited count, the publication of the earliest document, and the publication year of the most recent document.  The extraction appends to edges weights for the number of co-written papers, and the publication years of the earliest and most recent collaboration.
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      • Extract Author Citation Network – Extracts a weighted, directed network with authors as nodes and edges from a citing author to a cited author.  Nodes include all data from the PERSON table and the number of documents authored in the current dataset.
      • Extract Document Citation Network (Core Only) – Extracts an unweighted, directed network with documents as nodes and edges from a citing paper to a cited paper.  Only those documents with full entries in the dataset are included in the network.  Nodes include all data from the DOCUMENT table.
      • Extract Document Citation Network (Core and References) – Extracts an unweighted, directed network with documents as nodes and edges from a citing paper to a cited paper.  Nodes include all data from the DOCUMENT table.
      • Extract Document Source Citation Network (Core Only) – Extracts a weighted, directed network with sources (journals) as nodes and edges from a citing source to a cited source.  Citations are via documents within sources, and only those sources represented by documents within the dataset are included in the network.  Nodes include all data from the SOURCE table, and edges are weighted by the number of citations between sources.
      • Extract Document Source Citation Network (Core and References) – -- Extracts a weighted, directed network with sources (journals) as nodes and edges from a citing source to a cited source.  Citations are via documents within sources.  Nodes include all data from the SOURCE table, and edges are weighted by the number of citations between sources.
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      • Extract Document Co-Citation Network (Core Only) – Extracts a weighted, undirected network with documents as nodes and edges between documents which have been cited together.  Only those documents with entries in the dataset are included in the network.  Edge weight is determined by the number of times two articles are cited together, and edges are appended with the publication years of their earliest and most recent co-citations.
      • Extract Document Co-Citation Network (Core and References) – Extracts a weighted, undirected network with documents as nodes and edges between documents which have been cited together.  Edge weight is determined by the number of times two articles are cited together, and edges are appended with the publication years of their earliest and most recent co-citations.
      • Extract Document Source Co-Citation Network (Core Only) – Extracts a weighted, undirected network with journals as nodes and edges between journals which have been cited together by a common document.  Only those journals containing documents with entries in the dataset are included in the network.  Edge weight is determined by the number of times two journals are cited together, and edges are appended with the publication years of their earliest and most recent co-citations.
      • Extract Document Source Co-Citation Network (Core and References) – Extracts a weighted, undirected network with journals as nodes and edges between journals which have been cited together by a common document.  Edge weight is determined by the number of times two journals are cited together, and edges are appended with the publication years of their earliest and most recent co-citations.
      • Extract Author Co-Citation Network – Extracts a weighted, undirected network with authors as nodes and edges between authors who have been cited together by a common document.  Edge weight is determined by the number of times two authors are cited together, and edges are appended with the publication years of their earliest and most recent co-citations.
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      • Extract Author Bibliographic Coupling Network – Extracts a weighted, undirected network with authors as nodes and edges between authors who cite a common reference.  Edge weight is determined by the number of common references between authors.
      • Extract Document Bibliographic Coupling Network – Extracts a weighted, undirected network with documents as nodes and edges between documents which cite a common reference.  Edge weight is determined by the number of common references between documents.
      • Extract Document Source Bibliographic Coupling Network – Extracts a weighted, undirected network with journals as nodes and edges between journals whose documents cite a common reference.  Edge weight is determined by the number of common references between documents.
    • NSF

      • Merge Identical NSF People – Merges all people in an NSF database who have the same name.
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      • Extract Investigators – Extracts a table containing one row per investigator from an NSF database.
      • Extract Awards – Extracts a table containing one row per award from an NSF database.
      • Extract Organizations – Extracts a table containing one row per organization from an NSF database.
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      • Extract Co-PI Network – Extracts a weighted, undirected network with principle investigators as nodes and edges between them if they co-investigated an award in the database.  Nodes are appended with the number of awards investigated, total amount across each investigated award, start date of earliest award, and expiration date of most recent award.  Edges are appended with the number of awards co-investigated by the two investigators and the joint award total between the investigators.
    • General

      • Create Merging Table – Given a database, this generates a spreadsheet that can be annotated to indicate how entities should be merged. The user selects the type of entity.
      • Merge Entities – Given a database and a merging table, this generates a new database where the merges in the merging table have been performed.
      • Custom Table Query – This algorithm executes the given SQL query on the selected database, returning a table with the results.
      • Custom Graph Query – This algorithm executes the two given SQL queries on the selected database, returning a graph with the results.
      • Extract Raw Tables from Database – Lets you explore the raw contents of a database, extracting every table in the database into the Data Manager.
    • Generic-CSV

  • Visualization

    • Networks

      • Cytoscape

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