October 18, 2013 Kredible.Net NSF workshop at Stanford University – Study of reputation and social roles on social media

06AugMay 7, 2015 By Marc Smith

This October 18, 2013 an NSF funded workshop called Kredible.Net to be held at Stanford University will bring together researchers studying reputation and social roles in social media.

The workshop will help researchers investigate how social media, especially Wikipedia articles and editors, shape public knowledge. The project aims to build a research community and to propose a research agenda for the study of reputation and authority in informal knowledge markets, such as Wikipedia.

The team is lead by Sorin Adam Matei (PI) of Brian Lamb School of Communication, Elisa Bertino (Cyber Center), Michael Zhu and Chuanhai Liu (Department of Statistics) , and Luo Si (Department of Computer Science).

The KredibleNet project is supported by an international team of researchers including Marc Smith, director of the Social Media Research Foundation and the NodeXL project and by Dr. Luca De Alfaro, from University of California, Santa Cruz, the head of the WikiTrust project. The team also includes researchers Jure Leskovec (Stanford), Bernie Hogan (Oxford Internet Institute), and Ben Shneiderman (University of Maryland).

The KredibleNet grant will fund research and workshops that will reveal how social media leaders gain authority to shape public knowledge.

See: http://kredible.net/in/kredible-net-awarded-nsf-grant-to-study-reputation-and-social-roles-on-social-media/

July 22st, 2010 SNA event at Stanford: Network Analysis Made Easy: Using NodeXL To Map Social Media Networks

08JulMay 7, 2015 By Marc Smith

There is a Stanford Media X event on July 22nd, 2010 on new tools for SNA:

Network Analysis Made Easy: Using NodeXL To Map Social Media Networks

http://mediax.stanford.edu/WSI/marc.html

Bring a laptop (running Windows and Office 2007 or 2010) to this workshop and you can be analyzing a social media network from systems like Twitter, flickr, YouTube and your own email by the end of the day. If you can make a pie-chart in Excel, using the free and open NodeXL (http://nodexl.codeplex.com) you can now make a rich network graph from data extracted from social media systems and other common formats. If you have a network, bring it, if not you can bring a suggested topic that we can map during the course of the day.

Even if you leave your laptop behind or have a Mac (sorry, no version is yet available for MacOS – unless you have a virtual machine with Windows and Office) this workshop will introduce the core concepts of network science with application to social networks in general and social media networks in particular. Applied to a range of topics and services, social media network maps can illuminate a variety of “publics” – populations who share a common interest and may share connections. Maps of topics like “oil spill”, “global warming” and other issue and event related keywords can reveal the groups and factions that cluster around different concepts and terms. Key contributors in these maps can be identified through the application of network measurements that capture various aspects of a person’s location in a network graph.