The science of networks is becoming an increasingly important and intriguing area of study that reveals many a patterns and relationships often hidden. This presentation is about the use of SNA to study the network of the Digital Library Community
Preso on social network analysis for rtp analytics unconferenceBruce Conner
Selected highlights of Coursera Social Networking course, taught by Prof. Lada Adamic of the Univ. of Michigan. Presented at the annual Annual RTP Analytics Unconference, May 4, 2013
Social Network Analysis Workshop
This talk will be a workshop featuring an overview of basic theory and methods for social network analysis and an introduction to igraph. The first half of the talk will be a discussion of the concepts and the second half will feature code examples and demonstrations.
Igraph is a package in R, Python, and C++ that supports social network analysis and network data visualization.
Ian McCulloh holds joint appointments as a Parson’s Fellow in the Bloomberg School of Public health, a Senior Lecturer in the Whiting School of Engineering and a senior scientist at the Applied Physics Lab, at Johns Hopkins University. His current research is focused on strategic influence in online networks. His most recent papers have been focused on the neuroscience of persuasion and measuring influence in online social media firestorms. He is the author of “Social Network Analysis with Applications” (Wiley: 2013), “Networks Over Time” (Oxford: forthcoming) and has published 48 peer-reviewed papers, primarily in the area of social network analysis. His current applied work is focused on educating soldiers and marines in advanced methods for open source research and data science leadership.
More information about Dr. Ian McCulloh's work can be found at https://ep.jhu.edu/about-us/faculty-directory/1511-ian-mcculloh
Social Network Analysis power point presentation Ratnesh Shah
Basics of social network analysis,Application and also explain interesting study done by facebook , twitter, youtube and many more social media network ,slide contains some of interesting study to get knowledge about online social network analysis.
Power no longer resides exclusively (if at all) in states, institutions, or large corporations. It is located in the networks that structure society. Social network analysis seeks to understand networks and their participants and has two main focuses: the actors and the relationships between them in a specific social context.
Subscriber Churn Prediction Model using Social Network Analysis In Telecommun...BAINIDA
Subscriber Churn Prediction Model using Social Network Analysis In Telecommunication Industry โดย เชษฐพงศ์ ปัญญาชนกุล อาจารย์ ดร. อานนท์ ศักดิ์วรวิชญ์
ในงาน THE FIRST NIDA BUSINESS ANALYTICS AND DATA SCIENCES CONTEST/CONFERENCE จัดโดย คณะสถิติประยุกต์และ DATA SCIENCES THAILAND
Preso on social network analysis for rtp analytics unconferenceBruce Conner
Selected highlights of Coursera Social Networking course, taught by Prof. Lada Adamic of the Univ. of Michigan. Presented at the annual Annual RTP Analytics Unconference, May 4, 2013
Social Network Analysis Workshop
This talk will be a workshop featuring an overview of basic theory and methods for social network analysis and an introduction to igraph. The first half of the talk will be a discussion of the concepts and the second half will feature code examples and demonstrations.
Igraph is a package in R, Python, and C++ that supports social network analysis and network data visualization.
Ian McCulloh holds joint appointments as a Parson’s Fellow in the Bloomberg School of Public health, a Senior Lecturer in the Whiting School of Engineering and a senior scientist at the Applied Physics Lab, at Johns Hopkins University. His current research is focused on strategic influence in online networks. His most recent papers have been focused on the neuroscience of persuasion and measuring influence in online social media firestorms. He is the author of “Social Network Analysis with Applications” (Wiley: 2013), “Networks Over Time” (Oxford: forthcoming) and has published 48 peer-reviewed papers, primarily in the area of social network analysis. His current applied work is focused on educating soldiers and marines in advanced methods for open source research and data science leadership.
More information about Dr. Ian McCulloh's work can be found at https://ep.jhu.edu/about-us/faculty-directory/1511-ian-mcculloh
Social Network Analysis power point presentation Ratnesh Shah
Basics of social network analysis,Application and also explain interesting study done by facebook , twitter, youtube and many more social media network ,slide contains some of interesting study to get knowledge about online social network analysis.
Power no longer resides exclusively (if at all) in states, institutions, or large corporations. It is located in the networks that structure society. Social network analysis seeks to understand networks and their participants and has two main focuses: the actors and the relationships between them in a specific social context.
Subscriber Churn Prediction Model using Social Network Analysis In Telecommun...BAINIDA
Subscriber Churn Prediction Model using Social Network Analysis In Telecommunication Industry โดย เชษฐพงศ์ ปัญญาชนกุล อาจารย์ ดร. อานนท์ ศักดิ์วรวิชญ์
ในงาน THE FIRST NIDA BUSINESS ANALYTICS AND DATA SCIENCES CONTEST/CONFERENCE จัดโดย คณะสถิติประยุกต์และ DATA SCIENCES THAILAND
Social Network Analysis: What It Is, Why We Should Care, and What We Can Lear...Xiaohan Zeng
The advent of the social networks has completely changed our daily life. The deluge of data collected on Social Network Services (SNS) and recent developments in complex network theory have enabled many marvelous predictive analysis, which tells us many amazing stories.
Why do we often feel that "the world is so small?" Is the six-degree separation purely imagination or based on mathematical insights? Why are there just a few rockstars who enjoy extreme popularity while most of us stay unknown to the world? When science meets coffee shop knowledge, things are bound to be intriguing.
I will first briefly describe what social networks are, in the mathematical sense. Then I will introduce some ways to extract characteristics of networks, and how these analyses can explain many anecdotes in our life. Finally, I'll show an example of what we can learn from social network analysis, based on data from Groupon.
Social Network Analysis for Competitive IntelligenceAugust Jackson
How can CI teams apply the concepts of social network analysis to gain insight into the capabilities and plans of their competitors? Presented by Jim Richardson and August Jackson in April 2007 at the Society of Competitive Intelligence Professionals annual conference in New York City.
This short set of slides summarizes the characteristics of people who play specific roles in networks. In a social network analysis, people in these roles can be discovered by running mathematical algorithms through the social graphs. But you don't need to be an algorithm to spot some of these people in your networks!
How to conduct a social network analysis: A tool for empowering teams and wor...Jeromy Anglim
Slides and details available at: http://jeromyanglim.blogspot.com/2009/10/how-to-conduct-social-network-analysis.html
A talk on using social network analysis as a team development tool.
This workshop will introduce some of the main principles and techniques of Social Network Analysis (SNA). We will use examples from organizational and social media-based networks to understand concepts such as network density, diameter, centrality measures, community detection algorithms, etc. The session will also introduce Gephi, a popular program for SNA. Gephi is a free and open-source tool that is available for both Mac and PC computers.
By the end of the session, you will develop a general understanding of what SNA is, what research questions it can help you answer, and how it can be applied to your own research. You will also learn how to use Gephi to visualize and examine networks using various layout and community detection algorithms.
Instructor’s Bio: Dr. Anatoliy Gruzd is a Canada Research Chair in Social Media Data Stewardship, Associate Professor at the Ted Rogers School of Management at Ryerson University, and Director of Research at the Social Media Lab. Anatoliy is also a Member of the Royal Society of Canada’s College of New Scholars, Artists and Scientists; a co-editor of a multidisciplinary journal on Big Data and Society; and a founding co-chair of the International Conference on Social Media and Society. His research initiatives explore how social media platforms are changing the ways in which people and organizations communicate, collaborate and disseminate information and how these changes impact the norms and structures of modern society.
Social Network Analysis (SNA) and its implications for knowledge discovery in...ACMBangalore
Social Network Analysis (SNA) and its implications for knowledge discovery in Informal Networks- Talk by Dr Jai Ganesh, SETLabs, Infosys at Search and Social Platforms tutorial, as part of Compute 2009, ACM Bangalore
More than ever, we need to learn how to harness the power of networks to tackle the complex issues we're facing as a society. Here's a quick guide to the basics of social network analysis.
Interested? Sign up at http://kumu.io
Social Network Analysis: applications for education researchChristian Bokhove
What is your talk about?
This seminar will illustrate various social network analysis (SNA) techniques and measures and their applications to research problems in education. These applications will be illustrated from our own research utilising a range of SNA techniques.
What are the key messages of your talk?
We will cover some of the ways in which network data can be collected and utilised with other research data to examine the relationships between network measures and other attributes of individuals and organisations, and how it can be linked to other approaches in multiple methods studies.
What are the implications for practice or research from your talk?
SNA is an approach that draws from theories of social capital to study the relational ties that exist between actors or institutions in a specific context. Such ties might include learning exchanges or advice-seeking interactions. SNA techniques allow researchers to incorporate the interdependence of participants within their research questions, whereas many traditional techniques assume our participants, and their responses to our questions, are independent of one another.
Presented at PyCon Ireland 2016:
This talk will focus on the scientific analysis of social networks, how to derive useful insights from social graphs using Python, and discuss some lessons learned from taking this analysis out of the lab and into to a useful product in a production setting. I will cover acquiring data, predicting influence or activity, recommending possible friends from the graph and detecting communities within large networks. Experience with tools used to do this, including sklearn, networkx, Spark and Kafka will be covered.
Social Network Analysis: What It Is, Why We Should Care, and What We Can Lear...Xiaohan Zeng
The advent of the social networks has completely changed our daily life. The deluge of data collected on Social Network Services (SNS) and recent developments in complex network theory have enabled many marvelous predictive analysis, which tells us many amazing stories.
Why do we often feel that "the world is so small?" Is the six-degree separation purely imagination or based on mathematical insights? Why are there just a few rockstars who enjoy extreme popularity while most of us stay unknown to the world? When science meets coffee shop knowledge, things are bound to be intriguing.
I will first briefly describe what social networks are, in the mathematical sense. Then I will introduce some ways to extract characteristics of networks, and how these analyses can explain many anecdotes in our life. Finally, I'll show an example of what we can learn from social network analysis, based on data from Groupon.
Social Network Analysis for Competitive IntelligenceAugust Jackson
How can CI teams apply the concepts of social network analysis to gain insight into the capabilities and plans of their competitors? Presented by Jim Richardson and August Jackson in April 2007 at the Society of Competitive Intelligence Professionals annual conference in New York City.
This short set of slides summarizes the characteristics of people who play specific roles in networks. In a social network analysis, people in these roles can be discovered by running mathematical algorithms through the social graphs. But you don't need to be an algorithm to spot some of these people in your networks!
How to conduct a social network analysis: A tool for empowering teams and wor...Jeromy Anglim
Slides and details available at: http://jeromyanglim.blogspot.com/2009/10/how-to-conduct-social-network-analysis.html
A talk on using social network analysis as a team development tool.
This workshop will introduce some of the main principles and techniques of Social Network Analysis (SNA). We will use examples from organizational and social media-based networks to understand concepts such as network density, diameter, centrality measures, community detection algorithms, etc. The session will also introduce Gephi, a popular program for SNA. Gephi is a free and open-source tool that is available for both Mac and PC computers.
By the end of the session, you will develop a general understanding of what SNA is, what research questions it can help you answer, and how it can be applied to your own research. You will also learn how to use Gephi to visualize and examine networks using various layout and community detection algorithms.
Instructor’s Bio: Dr. Anatoliy Gruzd is a Canada Research Chair in Social Media Data Stewardship, Associate Professor at the Ted Rogers School of Management at Ryerson University, and Director of Research at the Social Media Lab. Anatoliy is also a Member of the Royal Society of Canada’s College of New Scholars, Artists and Scientists; a co-editor of a multidisciplinary journal on Big Data and Society; and a founding co-chair of the International Conference on Social Media and Society. His research initiatives explore how social media platforms are changing the ways in which people and organizations communicate, collaborate and disseminate information and how these changes impact the norms and structures of modern society.
Social Network Analysis (SNA) and its implications for knowledge discovery in...ACMBangalore
Social Network Analysis (SNA) and its implications for knowledge discovery in Informal Networks- Talk by Dr Jai Ganesh, SETLabs, Infosys at Search and Social Platforms tutorial, as part of Compute 2009, ACM Bangalore
More than ever, we need to learn how to harness the power of networks to tackle the complex issues we're facing as a society. Here's a quick guide to the basics of social network analysis.
Interested? Sign up at http://kumu.io
Social Network Analysis: applications for education researchChristian Bokhove
What is your talk about?
This seminar will illustrate various social network analysis (SNA) techniques and measures and their applications to research problems in education. These applications will be illustrated from our own research utilising a range of SNA techniques.
What are the key messages of your talk?
We will cover some of the ways in which network data can be collected and utilised with other research data to examine the relationships between network measures and other attributes of individuals and organisations, and how it can be linked to other approaches in multiple methods studies.
What are the implications for practice or research from your talk?
SNA is an approach that draws from theories of social capital to study the relational ties that exist between actors or institutions in a specific context. Such ties might include learning exchanges or advice-seeking interactions. SNA techniques allow researchers to incorporate the interdependence of participants within their research questions, whereas many traditional techniques assume our participants, and their responses to our questions, are independent of one another.
Presented at PyCon Ireland 2016:
This talk will focus on the scientific analysis of social networks, how to derive useful insights from social graphs using Python, and discuss some lessons learned from taking this analysis out of the lab and into to a useful product in a production setting. I will cover acquiring data, predicting influence or activity, recommending possible friends from the graph and detecting communities within large networks. Experience with tools used to do this, including sklearn, networkx, Spark and Kafka will be covered.
Tools for SNA
Page Rank Algorithm
Hierarchical Clustering
Recommendation System based on SNA (Collaborative Filtering)
How Facebook/Amazon uses SNA for recommendations?
Two Hop degree
Dynamism in Friendship Network of CSE-B
Online Social Networks and Clusters
Influential Nodes and Their Importance
Bibliography
Question - Answer Session
Using Social Network Analysis to Assess Organizational Development InitiativesStephanie Richter
Presented at 2016 POD Network conference #POD16
Many Faculty Development centers engage in far-reaching organizational development initiatives within their institutions. These initiatives are incredibly valuable but difficult to assess using traditional methods. Social network analysis (SNA) is a powerful visualization and statistical technique that has multiple applications in researching and assessing organizational development. In this session, learn how SNA was used at one institution to investigate the formation of community regarding online course quality standards as well as to analyze organizational structure for strategic planning. While this session focuses on organizational uses, examples will also be shared of applications for teaching and research.
Text analytics in Python and R with examples from Tobacco ControlBen Healey
Ben has been doing data sciencey work since 1999 for organisations in the banking, retailing, health and education industries. He is currently on contracts with Pharmac and Aspire2025 (a Tobacco Control research collaboration) where, happily, he gets to use his data-wrangling powers for good.
This presentation focuses on analysing text, with Tobacco Control as the context. Examples include monitoring mentions of NZ's smokefree goal by politicians and examining media uptake of BATNZ's Agree/Disagree PR campaign. It covers common obstacles during data extraction, cleaning and analysis, along with the key Python and R packages you can use to help clear them.
TN3270 Access to Mainframe SNA ApplicationszOSCommserver
This presentation presents the basics of the TN3270 protocol, and discusses how to configure the TN3270 server provided with z/OS Communications Server.
The basics of Python are rather straightforward. In a few minutes you can learn most of the syntax. There are some gotchas along the way that might appear tricky. This talk is meant to bring programmers up to speed with Python. They should be able to read and write Python.
Intro to social network analysis | What is Network Analysis? | History of (So...Gaditek
Social network analysis is a method by which one can analyze the connections across individuals or groups or institutions. That is, it allows us to examine how political actors or institutions are interrelated.
Connecting the disconnected. Social work and Social Network Analysis. A metho...Miguel del Fresno
Social network theory and analysis (SNA) offers a useful conceptual framework and a robust set of methods for understanding, analysing, and representing the pattern of social interactions that surround individuals forming an overall network of ties. SNA provides both insights and applications regarding relational structures that may be consequential for individual and collective agency. Despite the fact that both SNA and social work focus on relationships and behaviour, and that each discipline could substantively inform the other, there remains a significant lack of intersection between the two disciplines. In response to this gap, SNA applied to social work can provide additional ways to both diagnose and intervene behaviourally through the following approaches: a) by identifying key players in promoting the dissemination of behavioral changes in networks; b) by segmenting and identifying groups, cliques and communities; c) by supporting behavioural change through social ties surrounding the individual; and d) by aligning and applying specific interventions that draw on mutually interactive processes in terms of individual influences on networks, as well as network influences on individuals. SNA provides social work with an additional lens and set of tools based on the constellation of interactions surrounding individuals, families, groups or communities that supports understanding, diagnosis, and intervention.
These slides are for my talk for the Somerville College Mathematics Reunion ("Somerville Maths Reunion", 6/24/17): http://www.some.ox.ac.uk/event/somerville-maths-reunion/
Education Tourism is one of the not well recognized dimensions of tourism. Mysore is known as Royal City and Heritage city. In this presentation I argue we need to position Mysore as a Knowledge City and boost the development of Mysore as a knowledge city as it USP and tell a unique story about Mysore and its intellectual capital which not only includes its heritage, culture , education and various other special characteristics of the city brand
The presentation introduces the concept of eGovernance, the challenges,the levels and stages, where India stands, the way forward in terms of Open Data and Open Governance
The Open Access movement has gained ground and spread widely. However, it is time that we also consider the future of OA movement, less emotionally and more pragmatically. Moving from rhetoric to return on investment, let us focus on sustainable business models
Broad view of the new decade and the new paradigm of Innovation and Knowledge Management. Argues that KM happens at three levels, individual, organizational, societal and we need to focus on all the three levels
Transformation of digital libraries through web 2.0 and mobile revolution. This presentation argues that the shifting terrains of digital libraries are turning them into social and personal again
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Basic phrases for greeting and assisting costumers
Making the invisible visible through SNA
1. Making the invisible visible through Social Network Analysis Shalini Urs International School of Information Management University of Mysore, Mysore, India [email_address] CAMP 2010 - March 18, Shah Alam, Malaysia
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3. Networks are the talk of town ... ... since we're living in a world of relations Networks seem to be everywhere. Games about connectivity (Six Degrees of Kevin Bacon); understanding dynamics of food networks, World Wide Web, terrorist network to structure of collaboration networks
4. The Alibaba dataset- SNA Analysis Alibaba Scn 1: discover the plot. Alibaba Scenario 1: SNA (cluster analysis) Results: Alibaba Network Discovery. Robert Savell, SBP ‘08 April 1,2008 & Process Query Systems Group
21. Graph Theory and SNA The above graph has- vertex set V={a,b,c,d,e.f} and edge set E = {(a,b),(b,c),(c,d),(c,e),(d,e),(e,f)}. Two vertices u and v are adjacent if there exists an edge ( u,v ) that connects them. An edge e = (u,u) that links a vertex to itself is known as a self-loop or reflexive tie. The number of vertices in a graph is usually denoted n while the number of edges is usually denoted m
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24. Turning Points and Social Change By measuring the patterns of interaction and communication among members of a network, one can uncover the origins of ideas and social change. There is increasing interest in linking the distribution of cultural ideas and practices to social communities Studies have been carried out to assess the relationship between network dynamics and community “readiness” to engage in the social change processes.
Refer to social networks here Began with Jacob Levy Moreno in the 1930s in attempt to quantify social relationships. Based on matrix algebra. Advanced statistics… Nodes can be people, departments, or organizations Networks consist of links that form a structure Links between nodes have different purposes , e.g., task or general advice, expertise, strategic information, navigating the organization (procedures, know-who, etc.) Links can be one or two directional Links can be both formal and informal Links can have different strengths
Kohler (1925) is about how the mind works ; stressed the organized patterns that structure thoughts and