Connected Action
Menu
  • Services
    • Buy a social media network map and report
    • Training
    • Conferences
    • Data Reporting
    • Log in or Join us
    • Customize NodeXL
    • NodeXL
    • Marc Smith
    • About Us
  • Buy maps
    • Twitter Search Network Map and Report
    • Graph Server Twitter Search Network Map and Report
    • Other products and services
  • Sample maps
  • Blog
    • Books
    • NodeXL
    • Events
  • Newsletter
  • Videos
  • Contact
  • Log In

Ted Welser

iConference 2011 Wiki roles paper awarded best paper – University of Washington, Seattle, WA

24AprMay 7, 2015 By Marc Smith

http://www.ischools.org/iConference11/2011index/

Our paper, Finding Social Roles in Wikipedia,  about the variety of  roles people perform in Wikis received the best paper award (along with 4 others) in a field of 86 papers.   The 2011 iConference accepted 86 papers, and had about 550 attendees.

The paper is authored by: Howard T. Welser at Ohio University, Austin Lin at Cornell University and Microsoft, Dan Cosley, Fedor Dokshin, Gueorgi Kossinets and Geri Gay at  Cornell University, and Marc Smith from Connected Action.

The paper pdf pre-print is available here: http://oak.cats.ohiou.edu/~welser/Welser.Cosley.plus.Wiki.Roles.pdf

The link to the ACM abstract and pdf: http://portal.acm.org/citation.cfm?id=1940778&CFID=9933318&CFTOKEN=58981138

Abstract: This paper investigates some of the social roles people play in the online community of Wikipedia. We start from qualitative comments posted on community oriented pages, wiki project memberships, and user talk pages in order to identify a sample of editors who represent four key roles: substantive experts, technical editors, vandal fighters, and social networkers. Patterns in edit histories and egocentric network visualizations suggest potential “structural signatures” that could be used as quantitative indicators of role adoption. Using simple metrics based on edit histories we compare two samples of Wikipedians: a collection of long term dedicated editors, and a cohort of editors from a one month window of new arrivals. According to these metrics, we find that the proportions of editor types in the new cohort are similar those observed in the sample of dedicated contributors. The number of new editors playing helpful roles in a single month’s cohort nearly equal the number found in the dedicated sample. This suggests that informal socialization has the potential provide sufficient role related labor despite growth and change in Wikipedia. These results are preliminary, and we describe several ways that the method can be improved, including the expansion and refinement of role signatures and identification of other important social roles.

Posted in All posts, Conference, Connected Action, Data Mining, Foundation, Measuring social media, Metrics, NodeXL, Papers, Research, SMRF, Social Interaction, Social Media, Social network, Social Network Analysis, Social Theories and concepts, Sociology, Talks, University, Visualization, Washington Tagged 2011, Award, Best Paper, Chart, Conference, graph, iConference, Map, Marc Smith, Media, Networks, Paper, Publication, roles, SMRF, SMRFoundation, SNA, social, Social Media, Social Media Research Foundation, Social Networks, Ted Welser, Visualization, Wiki, Wikimedia, WikiPedia 3 Comments

2009 ICWSM Poster – Distinguishing Knowledge vs Social Capital in Social Media with Roles and Context

17MayMay 7, 2015 By Vlad43210

2009 ICWSM - Poster - Distinguishing Social vs Knowledge Capital

On Tuesday night Marc Smith and I will be presenting the poster for our paper, “Distinguishing Knowledge vs Social Capital in Social Media with Roles and Context” at the International Conference for Weblogs and Social Media. You can find the poster, co-authored with Marc Smith (Telligent Systems), Lise Getoor (University of Maryland) and Howard T. Welser (Ohio University), here. The full text of the paper has more information, but the poster is a good summary of the key concepts in the paper:

  • What roles do people play in social media?
  • What contexts shape user behavior in social media?
  • How can we leverage roles and context together to predict future user behavior (in terms of contribution type) from past user behavior?

The specific research question being addressed is: can we predict whether a particular contribution to Live Q&A (a Microsoft-sponsored community question answering site) will be contain factual information, or discussion / chat. It is possible to do the prediction based on the text of the contribution, but such an approach focuses entirely on the content, and not on the actor – the user who is making the contribution. If we leverage actor-centric information (what role does he/she play in the community: an “answer person” or a “discussion person”? is he making the contribution in a discussion-oriented context, such as implied by tagging the contribution as “fun,” or a fact-oriented context, such as implied by tagging the contribution as “math”?), we find we can build a decent predictor at very low cost with very few variables. If we use just role information or just context information, we do reasonably well… but if we use both, we do *much* better. While the question we’re answering here is quite specific, the advantage of our approach is that it can be applied to almost any social media context – any place online where users can both contribute content and interact with others. We could just as easily create a predictor for contributions to Yahoo! Answers, or even to Wikipedia (if we had the relevant data). This is definitely food for thought / opportunity for future work 🙂

Posted in All posts, Collective Action, Community, Conference, Data Mining, Industry, Measuring social media, Metrics, NodeXL, Papers, Research, Social Interaction, Social Media, Social network, Social Roles, Sociology, Technology, Visualization Tagged 2009, Conference, Context, Cornell, ICWSM, Lise Getoor, Marc Smith, Ohio University, Poster, roles, Social Media, Social network, Ted Welser, telligent, University of Maryland, Vladimir Barash 2 Comments

Connected Action Services

  • Buy a social media network map
  • Log in or Join us
  • My Cart
  • Training
  • Conferences
  • Data Reporting
  • Customize NodeXL
  • Marc Smith
  • About Us

Subscribe to Connected Action

Get updates when there is new content from Connected Action.

Related content:

Twitter Facebookflickrlinkedin
slidesharedeliciousdeliciousVimeo


Social Media Research Foundation

Help support the Social Media Research Foundation

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.

Communities in Cyberspace

Communities in Cyberspace

Recent Posts

  • Buy a map
  • Book: Transparency in Social Media Edited by Sorin Matei, Martha Russell and Elisa Bertino – with a chapter on NodeXL
  • June 5, 2015: Personal Democracy Forum – Talk on taking pictures of virtual crowds
  • Trust issues and Excel: how to open other people’s NodeXL documents
  • May 1st, 2015 at LSU: NodeXL social media networks talk at the “Telling Stories and Using Visuals for Coastal Environmental Communication” workshop

Tags

2009 2010 2011 2013 2014 2015 Analysis Analytics April Chart Conference Data Event Excel graph June Lecture Map March Marc Smith May Media network NodeXL October Paper Presentation Research San Francisco SMRF SMRFoundation SNA social Social Media socialmedia Social Media Research Foundation Social network Sociology Talk Training Twitter University Video Visualization workshop

Categories

Archives

March 2023
M T W T F S S
 12345
6789101112
13141516171819
20212223242526
2728293031  
« Jul    

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

Search

Services

  • Buy a social media network map
  • Log in or Join us
  • My Cart
  • Training
  • Conferences
  • Data Reporting
  • Customize NodeXL
  • Marc Smith
  • About Us
© 2023 Connected Action
AccessPress Parallax by AccessPress Themes
0

Your Cart