Network Analysis Guide
Wireshark Network Analysis The Official Wireshark Certified Network Analyst Study Guide Wireshark is the world's most popular network analyzer tool with over 500,000 downloads per month. This book provides insider tips and tricks to spot performance issues fast - no more finger pointing because the packets never lie! From 'Death by Database' to 'Troubleshooting Time Syncing,' 49 case studies offer insight into performance and security situations solved with Wireshark. Learn to customize Wireshark for faster and more accurate analysis of your network traffic. Build graphs to identify and expose issues such as packet loss, receiver congestion, slow server response, network queuing and more. This book is the Official Study Guide for the Wireshark Certified Network Analyst program.
This Second Edition includes an introduction to IPv6, ICMPv6 and DHCPv6 analysis, updated Wireshark functionality and new trace files. Refer to the Preview Pages at right to view the index, table of contents and more.
Download the document for a list of additions/changes in this Second Edition. Who is this Book For? All Access Pass (AAP) Purchase a one-year subscription for online, on-demand training. You may access courses as many times as you like anytime, anywhere with an Internet connection. Train online on your own schedule.
Network Analysis
All Access Pass members are invited to join Laura Chappell for special live online events, as well. These events highlight new products, tools and techniques in network analysis. The AAP Portal offers a tracking and CPE credit system to indicate where you are in a course and the number of CPE credits achieved. Price: $699 single-seat license. For quantity discount pricing, visit Chappell University's (Online Option).
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Social Network Analysis
Social Network Analysis Social networks represent relationships involving social entities such as friendships among individuals, communication in a group, or transactions between corporations. Finding important actors, discovering cohesive groups or communities, or identifying actors that are similar in some way are all examples of analysis that can be done for social networks. Building on its strong graph capabilities, the Wolfram Language allows you to model and analyze networks in a flexible and powerful way. Social networks are accessible from a variety of sources, including directly from social media (Facebook, Twitter, ).
High-level functions make it easy to detect communities, find cohesive groups, and visualize the results. A full suite of social network measures makes it possible to explore networks, rank actors from their centralities, or provide recommendations based on similar actors.