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Twitter Wrap-up for AmAnth2018: Hashtags and Hautalk

As I have done over the past few years ( 2017 , 2016 ), I returned from AAA2018 and ran some Twitter analytics.  Here's the sociograph I came up with (click on the image to see it in its entirety): The chart represents over 2300 users and over 6400 "edges," which include both mentions and re-tweets.  I've arranged them in groups by their hashtags.  Not surprisingly, "AmAnth2018" is the largest group.  But if you look to the upper right of the graph, you can see other, prominent hashtags, among them "#hautalk" and "#lgbt."  If we rank the top Twitter users by "betweeness centrality" (a measure of the importance of a user in terms of their capacity to bridge parts of the graph), we can see many of the same usual suspects, but also some accounts that have become prominent over the last few weeks: americananthro culanth news4anthros eliseakramer allegra_lab tfstweets omanreagan ...

One more VOSviewer visualization of the Future at AAA 2018

Mapping the Future at the American Anthropological Association Annual Meeting

"The future" (however imagined) continues to be a concern for anthropologists, and this year is no different than 2017 .  But while I was content to just list the different panels in 2017, this year I decided to construct a semantic map of the session abstracts.  First, I created a text document with each of the 28 session abstracts that explicitly concerned the future as an object of research (rather than something like "the future of graduate education").  Then, I loaded up the file into Cowo , which spit out 55 words by frequency of occurrence (minus all of the stop words like "the").  Then I loaded the file onto VOSviewer, and created a semantic map of co-occurrences between terms (nodes) in the same sentences. Here's the visualization from VOSviewer:    And here it is again in Gephi: We can identify several semantic clusters here, but I want to highlight a few: 1). urban resistance to the neoliberal (right); 2) environmental disaster a...

Storymapping Your Research

https://uploads.knightlab.com/storymapjs/c28f0b6fab85650562ac54dd5cfa403e/my-seoul-fieldwork/index.html Over the course of a year of fieldwork in Seoul (2014-2015), I accumulated tons of photographs (and some short films) that I made all over the city: a corpus of material that, for the moment, just resides on a couple of computers and cloud drives, waiting to be deployed into publications and presentations.  With storymap, I could use these materials to trace the arc of my research through the city.  Ultimately, I tried to take what oftentimes felt like random discovery and imposed a linearity to my thinking.  Or, perhaps, the exercise helped me to connect the projects into some semblance of order.  Telling a story, after all, involves the imposition of a frame, and the one I've sketched here is about a particular strand of urban anthropology in a complex city.   In the end, this looks to me like an interesting way to do a research prospectus for a j...

Remembrance of SETI’s Past

(I participated in a workshop organized by two anthropologists studying SETI (the Search for Extraterrestrial Intelligence): Claire Webb and Michael Oman-Reagan.  The topic called for us to think broadly about the future in relation to SETI.  My own contribution revolves around the SETI/METI divide and the question of time.) As Pioneer crafts hurtle off into interstellar space with their plaques celebrating Eurocentric, heteronormative humanity atop a school-child’s depiction of the solar system, people have inevitably thought of better things they could have sent to the stars.   These have been the subject of numerous discussions and Kickstarter campaigns.   But all of these concerns and alternative plans reflect on one of the chief obstacles to communication with ETI—coevalness.   SETI doesn’t take place in coeval timespace; even signals to (or from) nearby systems (e.g., Proxima Centauri) take a few light years to reach there.   Their past is our p...

Tracking the conversation from Displacements

The joint SCA/SVA " Displacements " conference has come to an end (although the archived presentations will remain up until the end of the month).  By all accounts, this virtual conference has been a success, but I wanted to probe the extent to which the conference brought together people across diverse locations.  Although we have some sense of this from the "Nodes" (local groups of face-to-face meetings and events surrounding the conference), Twitter may be a more important index, since that social media emerged as the most generative form of communication over the past few days. Using NodeXL, I downloaded tweets with the #displace18 hashtag, and grouped them by timezone.  Here is the sociograph I generated: And here's a key to the groups (which may help with some of the smaller ones in the lower, right-hand corner).  Pacific Time (US & Canada) 0, 12, 96 Disk     Pacific Time (US & Canada)  ...