Wikipedia articles affected by Tohoku earthquake

Brian Keegan’s dissertation will use Wikipedia’s coverage of breaking news articles to examine the high-tempo and high-reliability coordination practices of emergent, self-assembling teams. Wikipedia’s response to and coverage of the tragic events over the past week in Japan continues to provide a fascinating corpus for analysis. Some factoids:

  • The English article about the earthquake with links to the relevant sites for the US Geological Survey and Integrated Tsunami Watch Service was started at 6:18 GMT, just over 32 minutes after the earthquake began. The bureaucratic editorial process of nominating it to appear on the front page of Wikipedia was begun at 6:29. The article appeared on the front page by 7:58 after being vetted by 12 editors and at least one administrator. As a point of comparison, The New York Times (the first to report according to Memeorandum) did not file a story until 7:35.
  • Between the start of the article and noon CDT on March 15 (~100 hours after the earthquake), 761 editors made 2,901 contributions. The average time between edits over this entire window was 2 minutes, 4 seconds. The median was 1:08.
  • At the time, 49 other articles had been categorized by Wikipedians as being affected by or related to the earthquake and tsunami. 1683 unique editors made 6,931 contributions to these articles, including the one above. In that 100 hour time window, the average interval between edits made to articles in this category was 56 seconds. The median was 37 seconds.

A (very crude) temporal visualization of how the activity among editors to these articles can be seen in the video below. The text is admittedly hard to read, try full-screening the video. The red nodes are the articles, the blue nodes are editors, and the links indicate which editors edited which articles.  The “halos” of small blue nodes around the articles are the editors who contributed only to that article and none of the other articles. The clump of larger blue nodes in the center are editors who contributed to many of the other articles. Be sure to pay attention to when they make the switch to only editing one article to editing others. Note the switch in “attention” from the article about the earthquake & tsunami to the nuclear reactor as well as the lag before the articles about the affected communities (located at approximately 1 o’clock) are updated. The article at approximately 3 o’clock is the “Fukushima I nuclear accidents” article which is created more than 48 hours after the earthquake itself.

100 Hours of Wikipedia activity for Sendai earthquake from Brian Keegan on Vimeo.

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Social network analysis fights crime on Chicago’s west side

Chicago Police Target Most Violent Gang in Harrison District
Social Network Analysis Aides Efforts to Dismantle Gang Network
Chicago Police Department press release , 2011-02-13

Superintentent Weis emphasized the utility of Social Network Analysis for identifying perpetrators of violence so that gang factions may be dismantled. The Analysis also reveals the relationships between victims and offenders in shooting and homicide incidents, highlighting that both parties often are known to each other through personal disputes, and that violence is not random but intentional. … Social Network Analysis effectively enables law enforcement to identify at-risk individuals and make appropriate outreach.

Weis: Gang crackdown led to crime decrease
Police met with gang leaders, focused on social network
February 13, 2011, Andy Grimm, Chicago Tribune

Weis said the department has built a social network database that combines gang, vice and patrol officers’ insights at the street level and arrest data to show links between gang members, helping the department to better target enforcement.

University of Massachusetts sociologist Andrew V. Papachristos, who has studied Chicago gangs for his graduate research at the University of Chicago, said social network analysis has been successful in crime reduction efforts in smaller cities such as Boston and Cincinnati.

“We use the words ‘crime epidemic.’ … Well, if it is an epidemic, it should follow certain rules as to how it spreads,” Papachristos said.

Chicago police fight crime in new ways
Paul Meincke, WLS-TV ABC7 News, Monday, February 14, 201

Police are using what they call social network analysis. It starts with what street cops know, then that gets analyzed by computer which compares crime patterns and arrests going back in time.

“One thing we know about crime is it’s a lot like sex: who you mess around with is going to get you into trouble,” said Harvard Professor Andrew Papachristos.

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Third International Workshop on Network Theory: Web Science Meets Network Science

Annenberg Networks  Network, Northwestern’s SONIC lab, and Northwestern Institute on Complex Systems (NICO) hosted the Third International Workshop on Network Theory March 4th-6th, followed directly by the NICO Complexity Conference at Northwestern University’s Allen Center. Although the weather in Evanston turned surly, members of the SONIC lab, along with some of the most influential and brilliant scholars involved in network and web science, discussed the future of the field, major challenges, and opportunities for interdisciplinary collaboration. We’ll have photos available in the next couple of days (look out for a new slideshow on our homepage!) and video from the conference talks available by March 21st.

In the meantime, you can read an excellent blog post at the Complexity and Social Networks blog about a talk given by Stanley Wasserman and the discussion that followed by SONIC’s own Brian Keegan, a graduate student in the Media, Technology, and Society program.  There’s also a tweet-record of the official back channel of Third International at #webnetsci.

Our sincere thanks to everyone who participated in the conference!

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Manuel Castells From WikiLeaks to Wiki-revolutions

Manuel CastellsThe Media, Technology and Society Speaker Series presents:
From WikiLeaks to Wiki-Revolutions: Internet and the Culture of Freedom (video)
Manuel Castells, University of Southern California

Friday, March 4, 2011, 4-5pm
1-421 Frances Searle Building, Northwestern University

Manuel Castells is University Professor and the Wallis Annenberg Chair in Communication Technology and Society at the University of Southern California, Los Angeles, as well as Professor of Sociology at the Open University of Catalonia, Barcelona. He is Distinguished Visiting Professor of Technology and Society at MIT, and Distinguished Visiting Professor of Internet Studies at Oxford University. He was Professor of Planning and of Sociology at the University of California, Berkeley from 1979 to 2003. He has published 24 books including the trilogy The Information Age: Economy, Society, and Culture (Blackwell, 1996-2000), translated into 22 languages, and The Internet Galaxy (OUP, 2001), translated into 17 languages. He is a fellow of the American Academy of Political and Social Science, of the Academia Europea, of the British Academy, of the Mexican Academy, and of the Spanish Royal Academy of Economics. He has received 14 honorary doctorates. He was a founding member of the European Research Council. He is a member of the Board of the European Institute of Innovation and Technology (EIT) and a member of the Scholars’ Council at the U.S. Library of Congress.

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Partner Knowledge Awareness: A Better Way to Learn?

Just recently published this year in the Journal of Experimental Education, an article titled Partner Knowledge Awareness in Knowledge Communication: Learning by Adapting to the Partner sheds interesting new insight on educational methods.

First, Partner Knowledge Awareness (PKA) is defined to be a “phenomenon in which a person is aware of aspects of another group member’s knowledge. Awareness refers to an individual’s mental state, partner prefers to the target of the mental representation, and knowledge refers to the relevant characteristic of the target.”

This article primarily focuses on the effect of PKA on learning outcome and processes. For example, “during explanation, for instance, one collaborator can use PKA to adapt explanations toward the partner’s knowledge.”

Essentially, PKA induces a cognitive process when dealing with information, which is known as knowledge transforming. The authors explain, “adapting explanations to a partner is thought to foster one’s own understanding and learning to the extent that the explainer will clarify and reorganize the material in new ways to make it more understandable to others.” Although not the most complicated concept, it brings up the question how much of a beneficial educational impact this cognitive process can have.

Performed in Germany, the experiment involved about 49 native students. Each were given about 25 minutes to study extensive hypertexts about blood constituents and the immune system. Afterward, the subjects were randomly assigned into groups of three. One member, the explainer, of each group was given the responsibility to explain the material to the other two, the recipients.

The explainer was given a visualization tool before he or she had to begin:

You may be wondering, what exactly is this image? It is PKA! On paper!

After learning the material, every participant filled out a sheet of paper, like the one above, marking what he or she didn’t know. The explainer is now aware of the parameters of both of the recipients’ knowledge on the material; consequently, the visualization tool fosters and creates PKA for the explainer to adapt, improve, and specialize their explanations.

Afterwards, all the participants were tested on the material by taking a 36 multiple-choice exam. The results for the recipients, the subjects who had the material explained to them, were not surprising: they scored higher than those who had taken the exam without receiving explanations. However, the surprising result was that the explainers, who were given the PKA visualization tool, significantly scored much higher than the control group, explainers who did not receive the PKA. The explainers with PKA not only had the greatest improvement in scores but the highest scores overall. The authors explain, “Not only can other group members potentially benefit from these adaptations, but one of the major arguments here is that explainers using PKA information themselves are supported in their learning. The one adapting is the one benefiting.”

What this article suggests is neither groundbreaking nor very modern. The idea that “teaching is the best way to learn” has been around for ages. However, what this study does suggest is a simple method, which can be as simple as a piece of paper, that fosters huge learning benefits for everyone. In fact, the idea is so simple that it is rather striking that educators don’t implement this sort of knowledge communication more often.

So as I try to pay attention to the complicated jargon my professor is simultaneously mumbling and drawing on a dirty chalkboard, I can’t help myself asking the very questions this article brings up. Wouldn’t my professor explain the material more effectively if they were aware of what I do and do not know? Wouldn’t my understanding be taken to new heights if I were forced to try explaining the material in my own words rather than sitting in class writing and memorizing everything someone else says verbatim? Wouldn’t knowledge communication be more beneficial than knowledge memorization?

I shrug my shoulders, excommunicate myself in the library, and begin to cram for the next midterm, unaware of a better way to learn and understand the countless numbers, terms, and words that seem to dominate my life.

 

 

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Social Network Analysis of Bullying in High Schools

2 girls laughing

The New York Times featured a fascinating recent report on who gets bullied, who does the bullying, and why.  You need to have a fairly sharp eye to notice from the NYT blog post that the paper is really about social network analysis, however!  The blog post, titled “Web of Popularity, Achieved by Bullying” doesn’t mention social networks until the last few paragraphs and keeps away from any technical terms.  (It does have some very interesting comments from NYT readers, however.)  To glean a little more about the social network analysis content, you can go directly to the full text of the scholarly article, “Status Struggles: Network Centrality and Gender Segregation in Same- and Cross-Gender Aggression” by Robert Faris and Diane Felmlee, published in the American Sociological Review.

Faris and Felmlee’s research challenges the common conception that bullying can be attributed to negative personality traits of the individual and generally comes from individuals who are maladjusted to their environment.  The paper points out that the bulk of research on aggression comes from psychology, which may explain some of the usual focus on individual agency rather than network effects.  Instead of looking for traits commonly possessed by bullies, Faris and Felmlee argue that “[a]s peer status increases, so does the capacity for aggression, and competition to gain or maintain status motivates the use of aggression” (pg. 49).  One of the primary arguments of the article is that high school students who are “more popular,” or who have higher betweenness centrality, have more status and thereby more power.  They are able to employ this power to aggressive ends in order to further their status or fend off challenges to their status by other students.

One of the most interesting findings in the study is that while there is a positive relationship between network centrality and aggression, this only holds true up until the very top of the social hierarchy.  When students become so central that they are present in about one of every four of the shortest paths (geodesics) between any two students, their aggression drops off noticeably (pg. 57).   The authors posit that individuals at the top no longer need to be aggressive to climb to the top of the hierarchy and that doing so might be interpreted as a sign of status insecurity or weakness.

Of course, as the full title above suggests, the researchers also looked into the effects of gender segregation on student aggression.  In largely gender-segregated environments, some students serve as a special type of network bridge by virtue of having multiple friends of the opposite gender.  Essentially, these students can provide same gender friends with access to weak ties that are particularly valuable to high school students: students of the opposite gender.  The students who serve as gender bridges are likely to be much more aggressive in their cross-gender relationships than comparable peers with similar centrality.

The full text of the article goes into much more detail about methodology and data collection, and also has a few network graphs that make it a little easier to understand the cross-gender relationships.  Even if your network analysis chops aren’t quite up to slogging through the detailed tables, the beginning of the article does a great job of succinctly summarizing the findings and offers a lot of interesting tidbits about high school students via references to other research.  For example, did you know that approximately one third of high school students engage in aggression, and an estimated 160,000 students skip school every weekday to avoid being bullied?

What do you think?  Do students at the very top of the social hierarchy no longer need to use aggression, or is there another explanation?  Could their immediate subordinates on the hierarchy chain, who have the highest levels of aggression recorded, pick up the slack for the very top status students in hope of currying favor or increasing their own status or the status of their microculture?

One of the things that might bear a little more examination in this paper is the definition of “aggression”.  The fact that students who date are 23% more likely to be “aggressive” and the gender bridge exhibiting increased cross-gender “aggression” suggest that some of the aggressive behavior is not necessarily carried out with hostile intent.  The framework of the paper gives a negative moral valence to aggression, while some of the aggression measured in the survey might not be so negative, or at least, might not be viewed as a negative as the students progress from 8th to 12th grade over the course of the longitudinal study.  In my personal opinion, I suspect that some of the cross-gender aggression is not so much negative behavior as a variable that has confounded more than just academic papers: flirting.

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