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  1. Network analytics involves analyzing relationships and interactions within a network, such as social networks, communication systems, or traffic flows. Python provides powerful libraries like NetworkX, Matplotlib, and Scapy to perform network analysis and visualization.

    Using NetworkX for Network Analysis

    NetworkX is a widely used library for creating, analyzing, and visualizing complex networks.

    Steps:

    • Install NetworkX:

    pip install networkx
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    • Create a Graph:

    import networkx as nx

    G = nx.Graph()
    G.add_edge('A', 'B')
    G.add_edge('B', 'C')
    G.add_edge('C', 'A')
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    • Analyze the Graph: Degree Centrality: Measures node connectivity. degree_centrality = nx.degree_centrality(G) print(degree_centrality) Clustering Coefficient: Measures the tendency of nodes to form clusters. clustering = nx.clustering(G) print(clustering) Shortest Path: Finds the shortest path between nodes. path = nx.shortest_path(G, source='A', target='C') print(path)

    • Visualize the Graph:

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  2. How to Build a Real-time Network Traffic Dashboard with …

    Jan 3, 2025 · Have you ever wanted to visualize your network traffic in real-time? In this tutorial, you will be learning how to build an interactive network traffic analysis dashboard with Python and Streamlit.

  3. santh41/python-realtime-network-monitoring-system - GitHub

    Oct 21, 2025 · A Python-based network monitoring tool that captures, analyzes, and visualizes live network traffic in real-time. Built for DevOps engineers and cybersecurity enthusiasts to monitor …

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