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Hansen

Book: Ways of Knowing in HCI (Kellogg and Olson, editors) Chapter on SNA and HCI

08JunMay 7, 2015 By Marc Smith

2014-Ways of Knowing in HCI - Olson and Kellogg

A new book edited by Wendy Kellogg and Judy Olson is now available.  Ways of Knowing in HCI is a collection of chapters on the subject of methods and theories that frame Human Computer Interaction studies.

I co-authored a chapter in the book with Professor Derek Hansen from Brigham Young University on the role social network analysis can play in Human Computer Interaction.

2014-Ways of Knowing in HCIL - Network visualization
A social network consisting of Twitter users (nodes) who have Tweeted the word “global warming” connected to one another based on Follow, Reply, or Mention relationships (edges). Nodes are assigned different colors based on clusters. Hubs with many followers are indicated by size.

The chapter outline:

Introduction

A Brief History of Social Network Analysis

Social Network Analysis and Human-Computer Interaction

Goals of Social Network Analysis for HCI Researchers and Practitioners

1) Inform the design and implementation of new CSCW systems
2) Understand and improve current CSCW systems
3) Evaluate impact of CSCW system on social relationships
4) Design novel CSCW systems and features using SNA methods
5) Answer fundamental social science questions

Social Network Analysis Questions

Questions about Individual Social Actors
Questions about Overall Network Structure
Questions about Network Dynamics and Flows

Performing Social Network Analysis

Identify Goals & Research Questions
Collect Data
Sources of Network Data
Types of Social Networks
Representing Network Data

Three ways of representing network data

How to Analyze and Visualize Data
Network Analysis Tools
Commonly Used Network Analysis and Visualization Tools

Node-Specific Metrics: Focusing on the Trees

Common Centrality Metrics

Aggregate Network Metrics: Focusing on the Forest

Common Aggregate Network Metrics

Network Clusters & Motifs: Focusing on the Thickets

Network Dynamics and Information Flow

What Constitutes Good Work

References

 

Posted in 2014, All posts, Book, Data Mining, Foundation, Measuring social media, NodeXL, Research, SMRF, Social Interaction, Social Media, Social Media Research Foundation, Social network, Social Network Analysis, Social Theories and concepts, Sociology, Visualization Tagged Book, Chapter, Hansen, HCI, Kellogg, Media, NodeXL, Olson, Smith, SNA< Network, social, Social Media, Ways of Knowing 5 Comments

Book: Flier and Cover Art – Analyzing social media networks with NodeXL: Insights from a connected world

19JunMay 7, 2015 By Marc Smith

The production team at Morgan-Kaufmann have created a cover and a flier for the forthcoming book:

2010 – June – NodeXL Book Flyer.

Written and edited by Derek Hansen, Ben Shneiderman and Marc Smith, the book contains contributed chapters on sample social media systems:

[Chapter 10]: Twitter: Conversation, Entertainment and Information, All in One Network!

By Vladimir Barash and Scott Golder

[Chapter 11]: Visualizing and Interpreting Facebook Networks

By Bernie Hogan

[Chapter 12]: WWW Hyperlink Networks

By Robert Ackland

[Chapter 13]: Flickr: Linking People, Photos, and Tags

By Eduarda Mendes Rodrigues and Natasa Milic-Frayling

[Chapter 14]: YouTube: Contrasting Patterns of Interaction and Prominence

By Dana Rotman and Jennifer Golbeck

[Chapter 15]: Wiki Networks: Networks of Creativity and Collaboration

By Howard T Welser, Patrick Underwood, Dan Cosley, Derek Hansen, and Laura Black

This handy poster contains many details about the book contributors, chapters, and the book cover (which you can also see below):

2010 - Book - Analyzing Social Media Networks with NodeXL Cover

Analyzing Social Media Networks with NodeXL: Insights from a Connected World

Posted in All posts, Book, Collective Action, Common Goods, Community, Connected Action, Maryland, Measuring social media, Metrics, Network clusters and communities, Network data providers (spigots), Network metrics and measures, Network visualization layouts, NodeXL, Performance scale parallel and cloud computing, Research, Social Media, Social network, Social Network Analysis, Social Roles, Sociology, University, User interface, Visualization Tagged 2010, Art, Ben Shneiderman, Book, Chart, class, Cover, Derek Hansen, Flier, graph, Hansen, learn, Map, Marc Smith, Maryland, Morgan Kaufmann, NodeXL, Promotional materials, Shneiderman, SNA, Social Media, social network analysis, teach, textbook

May 23, 2010 – Tutorial: NodeXL and Social Media Network Analysis at ICWSM 2010

22MayMay 7, 2015 By Marc Smith

Fourth International AAAI Conference on Weblogs and Social Media
(ICWSM-10)
May 23-26, 2010
George Washington University, Washington, DC

Sponsored by the Association for the Advancement of Artificial Intelligence

The ICWSM 2010 conference starts Sunday.  This is a very high quality conference on the study of social media.  My colleague, Professor Derek Hansen, and I will lead a tutorial on using NodeXL to analyze social media networks.
2010 - May - 22 - NodeXL - twitter ICWSM muliplex edge weights color betweenness

SA2: Introduction to Social Media Network Analysis
Marc Smith (Connected Action) and
Derek Hansen (University of Maryland)

Social networks are the defining data structure of social media, created as people reply, link, click, favorite, friend, re-tweet, co-edit, mention, or tag one another. In this tutorial, we review the core concepts and methods of social network analysis and apply it to the collection, analysis, and visualization of social media networks. Using the free and open NodeXL application, learn how to extract a social media network and generate metrics and visualizations that highlight key people and positions within streams of tweets, videos, photos, or emails.

Posted in All posts, Collective Action, Common Goods, Community, Conference, Connected Action, ICWSM, Maryland, Measuring social media, Metrics, Mobile Social Software, Network clusters and communities, Network data providers (spigots), Network metrics and measures, Network visualization layouts, NodeXL, Social Media, Social network, Social Network Analysis, Social Roles, Social Theories and concepts, Sociology, Talks, Visualization Tagged 2010, AAAI, AI, Blogs, Conference, Connected Action, D.C., Derek, Hansen, ICWSM, Marc Smith, Maryland, May, NodeXL, SMRF, SMRFoundation, SNA, Social Media, Social Media Research Foundation, Tutorial, University, Washington, Weblogs

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Book: Analyzing Social Media Networks with NodeXL: Insights from a connected world

The book Analyzing Social Media Networks with NodeXL: Insights from a connected world is now available from Morgan-Kaufman and Amazon.

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Transparency in Social Media

2015-07-30-Transparency in Social Media-Structures of Twitter Crowds and COnversations
Transparency in Social Media
Sorin Adam Matei, Martha G. Russell, Elisa Bertino

CÓMO ENCONTRAR LOS HASHTAGS MÁS POTENTES: Para convertir LEADS a VENTAS (SEOHashtag nº 1) (Spanish Edition)

Apply NodeXL in espanol!

CÓMO ENCONTRAR LOS HASHTAGS MÁS POTENTES - Para convertir LEADS a VENTAS (SEOHashtag nº 1) (Spanish Edition)
By: Vivian Francos from #SEOHashtag Comparto algunas de las mejores formas de elegir los hashtags más poderosos y
que puedan generar tráfico a tus redes sociales para aprovechar el poder del
hashtag.
Si quieres aumentar tus interacciones, debes aprender a utilizar los hashtags como herramienta.

https://amzn.to/305Hpsv

Networked


Networked By Lee Rainie and Barry Wellman

Social Media in the Public Sector

2015-07-31Social Media in the Public Sector-Cover
Ines Mergel

Ways of Knowing in HCI

2014-Ways of Knowing in HCI - Olson and Kellogg

The Virtual Community


Virtual Community

The Evolution of Cooperation


The Evolution of Cooperation

Governing the Commons


Governing the Commons

SmartMobs


SmartMobs

Networks, Crowds, and Markets


Networks, Crowds, and Markets

Development of Social Network Analysis


Development of Social Network Analysis: A Study in the Sociology of Science

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