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Gephi Tutorial - How to use Gephi for Network Analysis
 
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Learn more advanced front-end and full-stack development at: https://www.fullstackacademy.com Gephi is an open-source network analysis software package written in Java that allows us to visualize all kinds of graphs and networks. In this Gephi tutorial, we walk through how Network Analysis can be used to visually represent large data sets in a way that enables the viewer to get a lot of value from the data just by looking briefly at the graph. Watch this video to learn: - What Network Analysis involves - How to use Gephi to visually represent and analyze data sets - Different examples using Gephi
Views: 18997 Fullstack Academy
Social Network Analysis using python
 
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Capstone project of Data and Knowledge Engineering Repository: https://github.com/Prerna237/SocialNetworkAnalysis
Views: 3342 PRERNA 
Social Network Analysis - using Social Network Visualiser
 
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This video takes on the dreaded social network analysis. You may not use it in your assignment - but it might be worth your using in future life? See http://socnetv.sourceforge.net
Views: 7083 Micheal Axelsen
What is Social Network Analysis? by Prof Martin Everett
 
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The focus of social network analysis is on the network of relations. A social network consists of a set of actors (also called nodes or vertices) together with a set of edges (also called arcs) that link pairs of actors. Since edges can share actors (e.g., the A.B edge shares an actor with the B.C edge) this creates a connected web that we think of as a network. For more methods resources see: http://www.methods.manchester.ac.uk
Views: 31976 methodsMcr
R Lab.1 - Let's Draw a Social Network Graph: A Social Network Lab in R for Beginners
 
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DOWNLOAD Lab Code & Cheat Sheet: https://drive.google.com/open?id=0B2JdxuzlHg7OYnVXS2xNRWZRODQ Let’s try turning some data into a graph for ourselves in R, an open-source statistical program This video is part of a series where we give you the basic concepts and options, and we walk you through a Lab where you can experiment with designing a network on your own in R. Hosted by Jonathan Morgan and the Duke University Network Analysis Center. Further training materials available at https://dnac.ssri.duke.edu/intro-tutorials.php Duke Network Analysis Center: https://dnac.ssir.duke.edu
Basics of Social Network Analysis
 
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Basics of Social Network Analysis In this video Dr Nigel Williams explores the basics of Social Network Analysis (SNA): Why and how SNA can be used in Events Management Research. The freeware sound tune 'MFF - Intro - 160bpm' by Kenny Phoenix http://www.last.fm/music/Kenny+Phoenix was downloaded from Flash Kit http://www.flashkit.com/loops/Techno-Dance/Techno/MFF_-_In-Kenny_Ph-10412/index.php The video's content includes: Why Social Network Analysis (SNA)? Enables us to segment data based on user behavior. Understand natural groups that have formed: a. topics b. personal characteristics Understand who are the important people in these groups. Analysing Social Networks: Data Collection Methods: a. Surveys b. Interviews c. Observations Analysis: a. Computational analysis of matrices Relationships: A. is connected to B. SNA Introduction: [from] A. Directed Graph [to] B. e.g. Twitter replies and mentions A. Undirected Graph B. e.g. family relationships What is Social Network Analysis? Research technique that analyses the Social structure that emerges from the combination of relationships among members of a given population (Hampton & Wellman (1999); Paolillo (2001); Wellman (2001)). Social Network Analysis Basics: Node and Edge Node: “actor” or people on which relationships act Edge: relationship connecting nodes; can be directional Social Network Analysis Basics: Cohesive Sub-group Cohesive Sub-group: a. well-connected group, clique, or cluster, e.g. A, B, D, and E Social Network Analysis Basics: Key Metrics Centrality (group or individual measure): a. Number of direct connections that individuals have with others in the group (usually look at incoming connections only). b. Measure at the individual node or group level. Cohesion (group measure): a. Ease with which a network can connect. b. Aggregate measure of shortest path between each node pair at network level reflects average distance. Density (group measure): a. Robustness of the network. b. Number of connections that exist in the group out of 100% possible. Betweenness (individual measure): a. Shortest paths between each node pair that a node is on. b. Measure at the individual node level. Social Network Analysis Basics: Node Roles: Node Roles: Peripheral – below average centrality, e.g. C. Central connector – above average centrality, e.g. D. Broker – above average betweenness, e.g. E. References and Reading Hampton, K. N., and Wellman, B. (1999). Netville Online and Offline Observing and Surveying a Wired Suburb. American Behavioral Scientist, 43(3), pp. 475-492. Smith, M. A. (2014, May). Identifying and shifting social media network patterns with NodeXL. In Collaboration Technologies and Systems (CTS), 2014 International Conference on IEEE, pp. 3-8. Smith, M., Rainie, L., Shneiderman, B., and Himelboim, I. (2014). Mapping Twitter Topic Networks: From Polarized Crowds to Community Clusters. Pew Research Internet Project.
Views: 38240 Alexandra Ott
Analyze Social Networks with NVivo 11 Plus
 
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Discover influencers, opinion leaders and study the information flow in a network. Use sociogram visualizations to see network relationships and interactions, and use metrics to discover critical network roles like influencers, connectors and brokers. See why Social Network Analysis has emerged as a key research technique. http://www.qsrinternational.com
Views: 2503 NVivo by QSR
Gephi Tutorial: Visualizing Facebook Network
 
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A short introduction to Gephi through the visualization of my Facebook network from the Data J Lab at Tilburg University
Views: 121009 Data J Lab
Social Network Analysis using SICORE Metabase 7.7 Open Source Criminal Analysis Platform
 
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This software is free for all law enforcement agencies inside and outside the Republic of Costa Rica
Gephi Tutorial on Network Visualization and Analysis
 
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This tutorial goes from import through the whole analysis phase for a citation network. Data can be accessed at http://www.cs.umd.edu/~golbeck/INST633o/Viz.shtml
Views: 71759 jengolbeck
Telligent Analytics 3.0 - Social Network Analysis Software
 
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Telligent Analytics is the first comprehensive analytics program that allows organizations to quantify user engagement both inside and outside their communities. With an in-depth set of interactive reports available right at your fingertips, our advanced social analytics tool helps you map the connections within your community, extract consumer intelligence, and monitor the sentiment and buzz inside and outside your community.
Views: 901 telligentsystems
Software For Social Network Analysis
 
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Software For Social Network Analysis, software for social network analysis free download, software for social network analysis huisman, software for social media analysis, free software for social network analysis, best software for social network analysis, ucinet software for social network analysis, software social network analysis mac
Views: 49 Ryan K. Logan
Social Network Analysis with R | Examples
 
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Social network analysis with several simple examples in R. R file: https://goo.gl/CKUuNt Data file: https://goo.gl/Ygt1rg Includes, - Social network examples - Network measures - Read data file - Create network - Histogram of node degree - Network diagram - Highlighting degrees & different layouts - Hub and authorities - Community detection R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.
Views: 19877 Bharatendra Rai
Social Network Analysis Using R Programming Language / Analyzing Social Networks /Learn R
 
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This video shows how to use SNA package to analyze social networks in R programming language. Learn the basics of R language and try data science! Ram Subramaniam Stanford
Views: 79546 Ram Subramaniam
Introduction to Social Network Analysis
 
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This workshop provides a broad overview of Social Network Analysis. In the first part of the workshop, a concise overview of theoretical concepts is provided, together with examples of data collection methods. The second section discusses network data analysis - network measurements (i.e. density, reciprocity, etc.) and node level measurements (i.e. degree centrality, betweenness centrality, etc.). The last part of the workshop introduces participants to UCINET and NetDraw, software packages used for data management, analysis and visualization.
Social Network Analysis
 
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A complete history and analysis of SNA through examples and step-by-step video of how to access facebook data for social network analysis using Gephi and Netvizz
Views: 1083 Sukriti Dangi
Social Network Analysis Software -  NetMiner : 3.6 Controlling Network Map Panel
 
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Premium Social Network Analysis Software - NetMiner Demo Video # Part 3. Visual Exploration *6 Controlling Network Map Panel: Zoom In/Out, Navigation, Rotation, Flipping Trials & about Netminer 3 - http://www.netminer.com
Views: 2038 CyramNetminer
Getting Started with UCINET
 
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This will walk you through setting up the file directory and importing data in UCINET
Views: 17461 Jess Kropczynski
Social Network Analysis Software
 
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Social Network Analysis Software, social network analysis software free download, social network analysis software comparison, social network analysis software reviews, social network analysis software pajek, social network analysis software facebook, social network analysis software free excel, social network analysis software ucinet
Views: 246 Barbara K. Boyd
Social Network Analysis Software - NetMiner 4 Script Features
 
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Premium Social Network Analysis Software - NetMiner Script Package Promotion Video About NetMiner Script. What it is good for? NetMiner Script. ====== www.netminer.com
Views: 15946 CyramNetminer
Social Network Analysis Software -  NetMiner : 1.4.1 Importing Data File1
 
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Premium Social Network Analysis Software - NetMiner Demo Video # Part 1. Data Handling *4-1. Importing Data File1: Importing Main NodeSet, 1-mode Networks Trials & about Netminer - http://www.netminer.com * This video was produced in NetMiner 3.
Views: 652 CyramNetminer
Social Network Analysis Software -  NetMiner : Getting Started with NetMiner
 
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Premium Social Network Analysis Software - NetMiner Demo Video # Part 1. Data Handling * 00.Getting Started with NetMiner Trials & about Netminer - http://www.netminer.com * This video was produced in NetMiner 3.
Views: 4790 CyramNetminer
Social Network Analysis Software -  NetMiner :  3.5.2  Betweenness Community
 
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Premium Social Network Analysis Software - NetMiner Demo Video # Part 3. Visual Exploration *5. Inspecting Analysis Results in Network Map - EX 2) Betweenness Community Trials & about Netminer - http://www.netminer.com * This video was produced in NetMiner 3.
Views: 794 CyramNetminer
spss and social network analyses part I: introduction to social network data
 
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Part I: Introduction to social network data
Views: 5509 Erik van Ingen
Social Network Analysis Software -  NetMiner   : 3.3 Selecting Nodes and Links on Network Map
 
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Premium Social Network Analysis Software - NetMiner Demo Video # Part 3. Visual Exploration *3. Selecting Nodes and Links on Network Map Trials & about Netminer - http://www.netminer.com * This video was produced in NetMiner 3.
Views: 527 CyramNetminer
Directed Network Analysis - Simulating a Social Network Using Networkx in Python - Tutorial 28
 
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In this Tutorial on Python for Data Science, you will learn how to Simulate a social network and how to do network analysis using Networkx in python. there are 3 easy steps to do it. generate graph objects and edge list, assign graph attributes to graph nodes, and visualize the network. This is the 28th Video of Python for Data Science Course! In This series I will explain to you Python and Data Science all the time! It is a deep rooted fact, Python is the best programming language for data analysis because of its libraries for manipulating, storing, and gaining understanding from data. Watch this video to learn about the language that make Python the data science powerhouse. Jupyter Notebooks have become very popular in the last few years, and for good reason. They allow you to create and share documents that contain live code, equations, visualizations and markdown text. This can all be run from directly in the browser. It is an essential tool to learn if you are getting started in Data Science, but will also have tons of benefits outside of that field. Harvard Business Review named data scientist "the sexiest job of the 21st century." Python pandas is a commonly-used tool in the industry to easily and professionally clean, analyze, and visualize data of varying sizes and types. We'll learn how to use pandas, Scipy, Sci-kit learn and matplotlib tools to extract meaningful insights and recommendations from real-world datasets.
Views: 4319 TheEngineeringWorld
Social Network Analysis Software - NetMiner  : 1.6 Editing Data
 
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Premium Social Network Analysis Software - NetMiner Demo Video # Part 1. Data Handling * 6.Editing Data Trials & about Netminer - http://www.netminer.com * This video was produced in NetMiner 3.
Views: 383 CyramNetminer
Social Network Analysis Software -  NetMiner : 2.2 Generating and Browsing Outputs in a Session
 
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Premium Social Network Analysis Software - NetMiner Demo Video # Part 2. Process Handling * 2 Generating and Browsing Outputs in a Session Trials & about Netminer - http://www.netminer.com * This video was produced in NetMiner 3.
Views: 161 CyramNetminer
Gephi for Network Analysis and Visualization - The Power of Gephi
 
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Network Analysis helps urban planners, designers, and policy makers explore the dynamics and complexities of social networks and organizations. This course demonstrates the ways you can use the open-source Gephi software to visualize and analyze online social networks. The modules focus on real-time, "big-data" driven municipalities engaging with the public via Facebook. This course includes analysis of a Facebook group created for disaster recovery purposes after Superstorm Sandy. As part of this course, you will learn how to find potential stakeholders or various groups and sub-groups in online networks. You will also learn how to analyze and visualize network behavior. This chapter introduces the Gephi software and explains the power that Gephi gives planners, designers, and policy-makers. Sign up for an affordable subscription and watch the full course: https://courses.planetizen.com/course/gephi-network-analysis
Views: 3060 Planetizen Courses
Rob Chew, Peter Baumgartner | Connected: A Social Network Analysis Tutorial with NetworkX
 
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PyData Carolinas 2016 Social Network Analysis (SNA), the study of the relational structure between actors, is used throughout the social and natural sciences to discover insight from connected entities. In this tutorial, you will learn how to use the NetworkX library to analyze network data in Python, emphasizing intuition over theory. Methods will be illustrated using a dataset of the romantic relationships between characters on "Grey's Anatomy", an American medical drama on the ABC television network. Analysis and intuition will be emphasized over theory and mathematical rigor. An IPython/Jupyter notebook format will be used as we code through the examples together.
Views: 4791 PyData
Analyzing Social Networks on Twitter
 
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Twitter is rapidly becoming a "common carrier" of social media, a wire that transmits a variety of content rather then a social network in itself. Yet, Twitter data is rich in elements that yield to Social Network Analysis techniques and can produce unique insights into information diffusion. This course will cover: Harvesting data from Twitter via search and streaming APIs Decomposing Tweets into constituent parts Fast-and-frugal content analysis of tweets Deriving and analyzing social network data found in tweets. Analyzing friends and followers About Maksim Tsvetovat: Maksim Tsvetovat is an interdisciplinary scientist, a software engineer, and a jazz musician. He has received his doctorate from Carnegie Mellon University in the field of Computation, Organizations and Society, concentrating on computational modeling of evolution of social networks, diffusion of information and attitudes, and emergence of collective intelligence. Currently, he teaches social network analysis at George Mason University. He is also a co-founder of DeepMile Networks, a startup company concentrating on mapping influence in social media. Maksim also teaches executive seminars in social network analysis, including "Social Networks for Startups" and "Understanding Social Media for Decisionmakers".
Views: 4159 O'Reilly
Mini Lecture: Social Network Analysis for Fraud Detection
 
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In this mini lecture, Véronique Van Vlasselaer talks about how social networks can be leveraged to uncover fraud. Véronique is working in the DataMiningApps group led by Prof. dr. Bart Baesens at the KU Leuven (University of Leuven), Belgium.
Views: 14768 Bart Baesens
Social Network Analysis Software -  NetMiner : 1.3 Creating Data
 
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Premium Social Network Analysis Software - NetMiner Demo Video # Part 1. Data Handling * 3. Creating Data: Adding New Items / Inserting Nodes, Attributes and Links Trials & about Netminer - http://www.netminer.com * This video was produced in NetMiner 3.
Views: 570 CyramNetminer
Social Network Analysis | NVivo Brown Bag Webinar
 
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Social network analysis (SNA) is a strategy for investigating social structures through the use of network and graph theories. It characterizes networked structures in terms of nodes (individual actors, people, or things within the network) and the ties or edges (relationships or interactions) that connect them. - https://en.wikipedia.org/wiki/Social_network_analysis By attending this free online session you'll learn: - A quick overview of what is Social Network Analysis - How NVivo enables Social Network Analysis! - How NVivo differs from other Social Network Analysis tools - How to set up your project in NVivo for Social Network Analysis - How you can analyse the relations that form from your qualitative data - How you can analyse social media connections within NVivo - How you can use Social Network Analysis metrics to identify people of interest in your data - Sharing your visualisations from NVivo http://www.qsrinternational.com
Views: 675 NVivo by QSR
Introduction to Course - Social Network Analysis in Python using NetworkX
 
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A brief introduction to the upcoming course. I hope this conveys why Social Networking Analysis is a hot topic for today and why you should pursue it. ------------------------------------------------------------------ GitHub Repository Link - https://github.com/mittrayash/Social-Network-Analysis-in-Python-Using-NetworkX My Portfolio - https://mittrayash.github.io/
Views: 509 Yash Mittra
Social Network Open Source Software
 
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Social Network Open Source Software, social network analysis open source software, best social network open source software, free social network open source software, social network structures in open source software development teams, social network software open source 2013 social network mapping software open source
Views: 142 Georgina N. Maggard
Social Network Analysis Software -  NetMiner  : 3.5.3 Degree Centrality
 
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Premium Social Network Analysis Software - NetMiner Demo Video # Part 3. Visual Exploration *5. Inspecting Analysis Results in Network Map - EX 3) Betweenness Community Trials & about Netminer - http://www.netminer.com * This video was produced in NetMiner 3.
Views: 1838 CyramNetminer
Combine and Analyze Co-Hashtag Networks (Instagram, Twitter, etc.) with Gephi
 
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This video demonstrates how to combine two co-hashtag networks (e.g. from Instagram or Twitter) and analyze how they relate to each other. I use two Instagram co-hashtag networks (gamergate, socialjustice), retrieved with the Instagram Hashtag Explorer, as examples. Instagram hashtag explorer: https://tools.digitalmethods.net/netvizz/instagram/ Gephi: http://gephi.org More internet research software: http://labs.polsys.net Even more software: https://wiki.digitalmethods.net/Dmi/ToolDatabase
Views: 6035 Bernhard Rieder
Master Data Management and Social Network Analysis
 
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Defining spheres of influence and analyzing customer data through social networks.
Views: 421 Pitney Bowes
Discovery Engines: Network Analysis
 
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Besides social networks in our daily lives such as Facebook or Twitter, networks now play an increasingly important role in both academic research and industry. Network analysis has become an indispensable toolkit as more and more relational data are made available. In this video, F. Bill Shi of Knowledge Lab reviews the state of the art of modern network analysis, and provides a hands-on tutorial on three problems that have found successful applications in the real world (one of which has made billions of dollars): how to rank nodes, how to identify meaningful clusters of nodes, and how to predict potential links in a network. To follow along with this workshop, download the iPython notebook and datasets at: https://github.com/KnowledgeLab/CI-Workshop-Networks Python 2.7, igraph (http://igraph.org/python/#startpy), and gephi (http://gephi.github.io/) are also recommended for this tutorial. Discovery Engines: Under The Hood Recent years have brought an explosion of software and tools for working with data, making once arduous tasks such as processing, analysis, machine learning, and visualization easy and accessible. But as the data science toolbox grows larger and larger, it becomes harder to find the proper tool for the job at hand, not to mention how to get the most out of its use. "Discovery Engines: Under the Hood" is a new monthly workshop series organized by the Computation Institute, offering practical, hands-on instruction with new and popular computational tools. Learn from experienced users at CI research centers about programming libraries, web platforms, visualization software, and analytic techniques that can make a difference in your own projects.
Social Network Analysis Software -  NetMiner : 3.1 Drawing Network Map
 
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Premium Social Network Analysis Software - NetMiner Demo Video # Part 3. Visual Exploration * 1. Drawing Network Map Trials & about Netminer - http://www.netminer.com * This video was produced in NetMiner 3.
Views: 1698 CyramNetminer
An Introduction to Social Network Analysis: Part 3
 
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Part 3 of the workshop focuses on data management, descriptive social network statistics (e.g., network centrality, density, cliques, etc.), software (e.g. UCINET), and visualization (e.g. Netdraw). The main focus is on using data with UCINET. Limited attention is given to visualization, but some examples are provided focusing on Netdraw, and some alternative visualization packages (such as Pajek, and Visone).
Talk Data to Me: Let's Analyze Social Media Data with Tableau
 
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Social media data is hot stuff—but it sure can be tricky to understand. In this session, Michelle from Tableau's social media team will share how they analyze social media data from multiple sources. We'll compare methods for collecting data, and discuss tips for ensuring that it answers new questions as they arise. Whether you're new to social media analysis or have already started diving into your data, this session will provide key tips, tricks, and examples to help you achieve your goals.
Views: 12737 Tableau Software
Social Network Analysis Software -  NetMiner  : 3.3.4 Using Selected Nodes and Links
 
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Premium Social Network Analysis Software - NetMiner Demo Video # Part 3. Visual Exploration *4. Using Selected Nodes and Links: containing following tasks - Saving Selected Nodes as Selection - Saving Selected Threshold as QuerySet - "Run Process" with Selected Nodes - Saving Selection as New Workfile Trials & about Netminer - http://www.netminer.com * This video was produced in NetMiner 3.
Views: 533 CyramNetminer