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: 15216 Fullstack Academy
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: 36098 Alexandra Ott
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: 67004 jengolbeck
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: 16614 Bharatendra Rai
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: 3562 TheEngineeringWorld
This work consists of developing a platform of sentiments analysis based on a framework that extracts emotions and sentiments expressed by social networks users toward a subject and detects communities and users who influence the obtained results. Nowadays, the tremendous growth of social networks has attracted the attention of many individuals and organizations, because of the social data made available and easily accessible online, hence our Framework is designed to use online available data of the most popular social networks: Facebook and Twitter, as data source via their official APIs. We started with a study on social networks by introducing the concept of semantic web and the analysis of sentiments on concepts level, and then we proceed to the approach of the construction of a graph relied on the social data, as well as to make a comparative study of the communities' detection algorithms and to choose the one that suits our problem. These studies enabled us to define the specifications of our project and the document of analysis and computer design. And by the end we moved to the realization phase of the project.
Views: 132 Hamza Hanafi
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: 2388 NVivo by QSR
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
Views: 1807 Mod•U: Powerful Concepts in Social Science
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
Part I: Introduction to social network data
Views: 5358 Erik van Ingen
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Views: 47 Ryan K. Logan
Meerkat is a social network analysis application under development by Dr. Osmar Zaiane and his lab. It offers facilities for automated community mining, various layout algorithms for helpful visualizations, and timeframe event analysis for dynamic networks that have been observed at multiple points in time. For more information go to: http://www.aicml.ca/node/41
Views: 4034 aicmlmedia
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Views: 203 Barbara K. Boyd
This software is free for all law enforcement agencies inside and outside the Republic of Costa Rica
Views: 4240 Felipe Ramírez Herrera
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: 6640 Micheal Axelsen
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: 78893 Ram Subramaniam
Fletcher Heisler http://pyvideo.org/video/2850/analyzing-social-media-data-with-python http://pyohio.org/schedule/presentation/100/ What does the perfect tweet or a viral blog post look like? When should it be posted? We'll introduce various tools for working with data in terms of collecting (requests), exploring (IPython, pandas), analyzing (NLTK, scikit-learn) and visualizing (matplotlib). In the process, we will uncover some surprising strategies for getting content shared across social media.
Views: 7534 Next Day Video
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: 4099 O'Reilly
Introduction to network analysis and visualization with GEPHI. Datasets and tutorial here: http://www.martingrandjean.ch/gephi-introduction Papers using Gephi: http://cogentoa.tandfonline.com/doi/full/10.1080/23311983.2016.1171458 and https://halshs.archives-ouvertes.fr/halshs-01610098 and http://dx.doi.org/10.3166/lcn.10.3.37-54 [NOTICE] No, there's no sound, that's a way to make this tutorial available for non-english speakers (and for people working without headphones), with all the informations displayed during the tutorial (and a comprehensive tutorial online to complete the video, link above).
Views: 106844 Martin Grandjean
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: 4426 PyData
Social media is a fantastic tool to find competitors, analyze competitors, compare competitors and find out what they are doing, what’s working for them and what’s not so you can just model success instead of going through the slow process of trial and error. The other reason why it’s important to find competitors and analyze competitors is to make sure you are providing more or at least the same amount of value to your audience than they are. The first step when performing competitor research is to identify your 5 top competitors and look them up on the main social networks: Facebook, Twitter, Instagram and Linkedin. After your find competitors, collect the following information about them for each social network: Their audience size Their engagement rate Their engagement method Their posting frequency Their advantages Their disadvantages Once you’ve performed your competitor research and have collected enough information to compare competitors, you will have a clearer picture about how to improve your social media communication strategy. Then, to monitor your progress against your competitor’s progress and make sure you remain ahead, use social media competitor analysis tools depending on which platform you’re using. For example, should you have a Facebook page for your business and so do your competitors, we recommend using the built-in Facebook competitor analysis tool called “pages to watch”. This feature allows you to add any page you’d like to monitor against yours and easily compare competitors against you. The great thing about this competitor research tool is that your competitors won’t be notified that you’re monitoring them. Plus, this competitor research tool also suggests similar pages to watch. On Twitter, a tool to analyze competitors we recommend is Klout. Klout is a tool that gives you a score from 1 to 100 which rates a Twitter account’s social media influence. Most businesses have an average score of 40, however, influential accounts will have a score of 50 and above. Ideally, you’d like to have a higher Klout score than any of your competitors. Another social network analysis tool that is useful to analyze competitors is Twitter lists. Twitter lists are the equivalent of folders to categorize and manage Twitter accounts. Users can either create their own lists and make the lists “private” or “public’. Should you be using Twitter lists to monitor your competitors, make sure it is private so only you have the ability to view the list. This will allow you to check the activity of your competitors all in one place, see what they’re up to, what they’ve been tweeting, etc... and as a result improve your own social media communication strategy. When it comes to monitoring your competitors on Instagram, we recommend the social network analysis tool Talkwalker. Once you’ve collected all the information necessary that you need in order to have a clearer picture of where you stand compared to your competitors, don’t let that information go to waste. Instead, fine tune your campaigns accordingly. So you can remain one step ahead. The key when monitoring your competition and using social network analysis tools is not collecting too much information or else it’s easy to feel overwhelmed. Always improve your social media marketing efforts one step at a time.
Views: 1004 Social Media Worldwide
Web Identity Search Tool (WIST) analyzes Facebook for connections between any 2 users; analyze links in a short time that you never knew existed
Views: 3612 Ltas Technologies
Premium Social Network Analysis Software - NetMiner Script Package Promotion Video About NetMiner Script. What it is good for? NetMiner Script. ====== www.netminer.com
Views: 15799 CyramNetminer
Directed Graphs, Undirected Graphs, and Weighted Graphs along with a gist of relation depiction through edges. ------------------------------------------------------------------ GitHub Repository Link - https://github.com/mittrayash/Social-Network-Analysis-in-Python-Using-NetworkX My Portfolio - https://mittrayash.github.io/
Views: 1013 Yash Mittra
This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Social_network_analysis_software 00:00:21 1 Overview 00:02:04 2 Features 00:03:25 3 Types of Software 00:03:50 3.1 GUI Packages 00:04:59 3.2 Scripting/Programming Tools 00:06:12 4 Collection of social network analysis tools and libraries 00:06:58 5 See also Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.7406457860945548 Voice name: en-US-Wavenet-C "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= Social network analysis software (SNA software) is software which facilitates quantitative or qualitative analysis of social networks, by describing features of a network either through numerical or visual representation.
Views: 0 wikipedia tts
See how Alteryx makes it easy to view data relationships with network analysis. Visit alteryx.com/trial to try the network analysis features for yourself.
Views: 6230 Alteryx
Social Network Analysis Using Gephi (PART 1) ------------------------------------------------------------------------------- Recorded based on 8th Edutech Colloqium: Social Network Analysis; presented by Dr Nurbiha A. Shukor and Dr. Nurul Farhana Jumaat from Faculty of Education, Universiti Teknologi Malaysia. Gephi is the leading visualization and exploration software for all kinds of graphs and networks. Gephi is open-source and free. You can download the Gephi software via link https://gephi.org/ -------------------------------------------------------------------------------- Watch also "Social Network Analysis Using Gephi (PART 2)" via link https://youtu.be/tWOgAMrMYV8
Views: 51 Fatimah Sarah Yaacob
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Views: 133 Georgina N. Maggard
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: 623 CyramNetminer
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: 1993 CyramNetminer
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: 2928 Planetizen Courses
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: 31281 methodsMcr
Premium Social Network Analysis Software - NetMiner Demo Video # Part 2. Process Handling * 4. Transforming Data Using Matrix Calculator Trials & about Netminer - http://www.netminer.com * This video was produced in NetMiner 3.
Views: 456 CyramNetminer
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.
Views: 174 Social Sciences Research Laboratories (SSRL)
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: 5588 Bernhard Rieder
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: 511 CyramNetminer
For moore information : http:://siragsoft.com software social media marketing software engineering and social media social software and social media software social media monitoring software social and ethical issues software social software social media manager social software and social networking software social network open source software social network analysis
Views: 135 Mohamadalhassan Ismail
Defining spheres of influence and analyzing customer data through social networks.
Views: 411 Pitney Bowes