Best Practice in Data Journalism Workshop
29-30 September 2014
Terrace Lounge, Level 1, Walter Boas Building, Parkville Campus
(Campus map at http://maps.unimelb.edu.au/parkville)
MONDAY 29 SEPTEMBER
|9-9.30AM||REGISTRATION AND WELCOME|
|9.30-9.45am||WELCOME AND INTRODUCTIONS- DR MARGARET SIMONS AND CARLTON CONNECT|
|9.45am-11||Presentations and Q and A from journalists: Marc Moncrieff and Craig Butt – Fairfax Media; Lisa Cornish – Red Cross (formerly News Corp); Harrison Polites – Business Spectator.|
|11.30-12.30||Presentations by Journalists (continued): Ed Tadros – Australian Financial Review; Matt Liddy, ABC; Nick Evershed – The Guardian in Australia.|
|12.30-1PM||ROUNDTABLE DISCUSSION AND IDENTIFICATION OF COMMON THEMES AND CHALLENGES|
|2PM-2.30pm||AURIN – Exploring the potential – Presentation by Professor Richard Sinnott, University of Melbourne.|
|2.30-3pm||NodeXL – Exploring the potential – Presentation by Marc Smith, Director, Social Media Research Foundation|
|3.30PM-5PM||Panel Session – Big Data. What Next? With Craig Thomler (Delib), Professor Paul Jensen (Faculty of Business and Economics, University of Melbourne); Jodie McVernon, (School of Population and Global Health, University of Melbourne), Scott Ewing, (World Internet Project, Swinburne Institute for Social Research.)|
There will be a 3 hour session introducing NodeXL on Tuesday from 2-5pm 30th September at the main Parkville campus of UniMelb. The event is open to the public and is free.
It will be in the Old Arts Building Lecture Theatre B.
The main session will run from 2-4pm and there will be an additional hour for those that want to stop on for further training, finishing at 5pm
If you want to use NodeXL in the session, you will need a Windows laptop, and the Windows version of Excel (2007/2010/2013).
You can download NodeXL in advance from: http://nodexl.codeplex.com/.
Map and Building:
Upcoming talks, workshops and training for social media network analysis and NodeXL.
March 16, 2014: Predictive Analytics World, San Francisco.
Track 1: Social Media Analysis Think Link! Network Insights with No Programming Skills
May 1-2, 2014: The Social Media & Web Analytics Summit
May 8th, 2014: 2014 SQL PASS Business Analytics Conference in San Jose.
May 19-23, 2014: International Conference on Collaboration Technologies and Systems, Minneapolis, Minnesota
I spoke at TheNextWeb 2014 in Amsterdam on April 25th.
Here is a map of the connections among the people who recently tweeted the terms: tnwconference OR #TNWEurope OR thenextweb
This is a highly fragmented “Brand” network pattern with several prominent Broadcast hub and spoke structures centered around the most central participants: @thenextweb, @ow, @epro, @nicolasfordham, @gcouros, @malchord, @martinsfp, @plagia3, @k5launch, @taxion2.
I spoke about how anyone who can make a pie chart can now make these network maps and reports.
I will present a tutorial on social media network analysis at the 2014 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP14)
April 2 – April 4, 2014
Washington DC, USA
The 2014 International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction (SBP14) is a multidisciplinary conference with a single paper track and poster session. SBP invites a small number of high quality tutorials and nationally recognized keynote speakers.
The SBP conference provides a forum for researchers and practitioners from academia, industry, and government agencies to exchange ideas on current challenges in social computing, behavioral modeling and prediction, and on state-of-the-art methods and best practices being adopted to tackle these challenges. Interactive events at the conference are designed to promote cross-disciplinary contact.
Social Computing harnesses the power of computational methods to study social behavior within a social context. Behavioral Cultural modeling refers to representing behavior and culture in the abstract, and is a convenient and powerful way to conduct virtual experiments and scenario analysis. Both social computing and behavioral cultural modeling are techniques designed to achieve a better understanding of complex behaviors, patterns, and associated outcomes of interest. Moreover, these approaches are inherently interdisciplinary; subsystems and system components exist at multiple levels of analysis (i.e., “cells to societies”) and across multiple disciplines, from engineering and the computational sciences to the social and health sciences.
The talk will focus on the easy to follow steps needed to create social media network maps and reports automatically from services like Twitter, Facebook, YouTube, Flickr, email, blogs, wikis, and the WWW. Here is a sample network map of the term #bigdataprivacy:
The graph represents a network of 248 Twitter users whose recent tweets contained “#bigdataprivacy”, or who were replied to or mentioned in those tweets. The tweets in the network were tweeted over the 6-day, 10-hour, 29-minute period from Tuesday, 25 February 2014 at 14:36 UTC to Tuesday, 04 March 2014 at 01:06 UTC. There is an edge for each “replies-to” relationship in a tweet. There is an edge for each “mentions” relationship in a tweet. There is a self-loop edge for each tweet that is not a “replies-to” or “mentions”.
The graph’s vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
The edge colors are based on edge weight values. The edge widths are based on edge weight values. The edge opacities are based on edge weight values. The vertex sizes are based on followers values. The vertex opacities are based on followers values.
Top 10 Vertices, Ranked by Betweenness Centrality:
@whitehouseostp, @mit, @mit_csail, @steve_lockstep, @aureliepols, @dbarthjones, @digiphile, @stannenb, @djweitzner, @mikaelf
Top URLs in Tweet in Entire Graph:
Coverage of our report on the six basic types of social media network structures created with the Pew Internet Research Center has been extensive. Here is a round up of the articles we have found about the study.
Teens and Social Media
This week features hosts Randy Farmer (@frandallfarmer) and Scott Moore (@scottmoore) interviewing danah boyd (@zephoria) about her book It’s Complicated: the social lives of networked teens, coming out February 24th and available for preorder now.
Topics in the podcast interview include:
- The flawed California Eraser Button Bill
- Teens creating social norms: SnapChat
- Parents don’t get it: Tech replaces teens’ dwindling access to public spaces
There will be NodeXL related talks at the conference.
NodeXL: Network Analysis Made Simple
Tuesday February 18, 8:00am – 11:00am & 11:30am – 2:30pm
Marc Smith, Social Media Research Foundation
Twitter Conversations as Network Structures: Typology and Measurements
Saturday February 22,
Itai Himelboim, Marc Smith, Ben Shneiderman, Lee Rainie
The conference schedule is available.
I hope to see you at the conference!
I will present at the 2014 Strata Conference in Santa Clara, CA on February 11, 2013.
Ballroom ABNetworks are everywhere, particularly in social media. Understanding networks can quickly reveal the key people, groups, and topics that matter most. But the tools to collect, analyze, visualize, and gain insights into connected structures have remained complex. Now the free and open NodeXL application makes network analysis tasks as easy as making a pie chart. The Network Overview Discovery and Exploration add-in for Excel (2007, 2010, 2013) extends the familiar spreadsheet, enabling users to easily access networks from a range of data sources including Facebook, YouTube, Twitter, Flickr, email, message boards, Wikis, blogs, and other repositories of connections. With simple automation tools, NodeXL users can calculate a range of network metrics, create a visualization, and generate a report highlighting key people, groups, and top URLs, hashtags, words and word pairs used in the discussion network. Network maps have revealed many of the hidden structures of social media, defining the major differences in the shapes and structures created as people link to one another.
I will also hold Office Hours at the event:
Office Hour with Marc Smith (Team NodeXL)
- NodeXL and related network analysis and visualization tools
- How to collect, store, analyze, visualize, summarize and publish social network reports with just a few clicks (and no coding)
- How to identify key influential people and subgroups within a conversation network
- How to apply social network analysis to social media marketing
- How to apply organizational network analysis to enterprise collaboration
Above is a map of the connections among the people who recently tweeted the term “strataconf” over the 7-day, 19-hour, 38-minute period from Sunday, 26 January 2014 at 21:53 UTC to Monday, 03 February 2014 at 17:32 UTC. The key people in the network at this point are:
You can make these types of maps with just a few clicks using NodeXL.