{"id":1969,"date":"2023-10-10T10:06:14","date_gmt":"2023-10-10T07:06:14","guid":{"rendered":"https:\/\/bitimpulse.com\/?p=1969"},"modified":"2025-02-25T10:39:15","modified_gmt":"2025-02-25T08:39:15","slug":"vizualizacziyi-merezhevyh-grafiv","status":"publish","type":"post","link":"https:\/\/bitimpulse.com\/en\/vizualizacziyi-merezhevyh-grafiv\/","title":{"rendered":"Network Graph Visualization: The Key to Effective Data Analysis"},"content":{"rendered":"

<\/p>\n

Introduction<\/strong><\/h4>\n

In the modern world of data processing and analytics, network graphs play a crucial role in visualizing relationships between objects. They are widely used in social networks, financial transaction analysis, cybersecurity, bioinformatics, and many other fields. In this article, we will explore the main methods and tools for network graph visualization and their application in business analytics.<\/p>\n

\n

What is a Network Graph?<\/strong><\/h3>\n

A network graph is a structure consisting of nodes and edges that illustrate interactions between various elements. Graphs can be directed or undirected, weighted or unweighted, static or dynamic.<\/p>\n

Examples of Application:<\/strong><\/h4>\n
    \n
  • Social networks<\/strong> \u2013 analyzing interactions between users (Facebook, LinkedIn).<\/li>\n
  • Finance<\/strong> \u2013 detecting fraudulent transactions.<\/li>\n
  • Cybersecurity<\/strong> \u2013 analyzing relationships between attacks and threats.<\/li>\n
  • Science and medicine<\/strong> \u2013 modeling interactions between genes, proteins, and other biological elements.<\/li>\n<\/ul>\n
    \n

    Network Graph Visualization Methods<\/strong><\/h3>\n

    1. Force-Directed Algorithms<\/strong><\/h4>\n

    This method uses physical models to position nodes in space, simulating forces of attraction and repulsion.<\/p>\n

      \n
    • Fruchterman-Reingold<\/strong> \u2013 one of the most popular algorithms that arranges nodes to minimize edge crossings.<\/li>\n
    • ForceAtlas2<\/strong> (in Gephi) \u2013 well-suited for large graphs.<\/li>\n<\/ul>\n

      2. Hierarchical Visualization<\/strong><\/h4>\n

      Used to represent data in a tree or hierarchical structure. Examples include:<\/p>\n

        \n
      • Sugiyama<\/strong> \u2013 used for graphs with multiple levels.<\/li>\n
      • Layered Graph Drawing<\/strong> \u2013 useful for organizational structures.<\/li>\n<\/ul>\n

        3. Clustering and Aggregation (Graph Aggregation)<\/strong><\/h4>\n

        If a graph contains many nodes, it can be optimized by grouping similar elements:<\/p>\n

          \n
        • Louvain Modularity<\/strong> \u2013 an efficient method for detecting clusters.<\/li>\n
        • Edge Bundling<\/strong> \u2013 reduces the number of visually cluttered connections.<\/li>\n<\/ul>\n
          \n

          Tools for Visualization<\/strong><\/h3>\n
            \n
          1. Gephi<\/strong> \u2013 one of the most powerful tools for network graph analysis, supporting various visualization algorithms.<\/li>\n
          2. Cytoscape<\/strong> \u2013 a convenient tool for bioinformatics and social network analysis.<\/li>\n
          3. D3.js<\/strong> \u2013 a JavaScript library for creating interactive visualizations.<\/li>\n
          4. Graphviz<\/strong> \u2013 a tool for automated graph drawing.<\/li>\n
          5. Python libraries (NetworkX, Pyvis, Plotly)<\/strong> \u2013 allow creating graphs in web interfaces.<\/li>\n<\/ol>\n
            \n

            Network Graph Visualization in BAT<\/strong><\/h3>\n

            BAT (Business Analysis Tool) enables easy creation of graphical data visualizations, including interactive network graphs. Its advantages include:<\/p>\n

              \n
            • Integration with MS OLAP Cubes<\/strong> for processing large data sets.<\/li>\n
            • Quick report and dashboard creation<\/strong> with filtering capabilities.<\/li>\n
            • High performance<\/strong> for analyzing complex business processes.<\/li>\n
            • Automated link analysis algorithms<\/strong>.<\/li>\n<\/ul>\n
              \n

              Conclusion<\/strong><\/h3>\n

              Network graph visualization is a key tool for analyzing relationships between objects. The use of modern algorithms and tools makes it possible to efficiently uncover hidden patterns in large data sets. BAT can be an ideal solution for business analytics, combining an intuitive interface with powerful analytical capabilities.<\/p>\n

              <\/p>","protected":false},"excerpt":{"rendered":"

              Introduction In the modern world of data processing and analytics, network graphs play a crucial role in visualizing relationships between objects. They are widely used in social networks, financial transaction analysis, cybersecurity, bioinformatics, and many other fields. In this article, we will explore the main methods and tools for network graph visualization and their application […]<\/p>\n","protected":false},"author":1,"featured_media":9143,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"inline_featured_image":false,"footnotes":""},"categories":[12],"tags":[],"class_list":["post-1969","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog-2"],"_links":{"self":[{"href":"https:\/\/bitimpulse.com\/en\/wp-json\/wp\/v2\/posts\/1969","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bitimpulse.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bitimpulse.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bitimpulse.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/bitimpulse.com\/en\/wp-json\/wp\/v2\/comments?post=1969"}],"version-history":[{"count":3,"href":"https:\/\/bitimpulse.com\/en\/wp-json\/wp\/v2\/posts\/1969\/revisions"}],"predecessor-version":[{"id":9144,"href":"https:\/\/bitimpulse.com\/en\/wp-json\/wp\/v2\/posts\/1969\/revisions\/9144"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/bitimpulse.com\/en\/wp-json\/wp\/v2\/media\/9143"}],"wp:attachment":[{"href":"https:\/\/bitimpulse.com\/en\/wp-json\/wp\/v2\/media?parent=1969"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bitimpulse.com\/en\/wp-json\/wp\/v2\/categories?post=1969"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bitimpulse.com\/en\/wp-json\/wp\/v2\/tags?post=1969"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}