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Sensors

May 28/29 Quantified Self 2011 – Conference in Mountain View, California, NodeXL EventGraph Maps of #quantifiedself

25MayMay 7, 2015 By Marc Smith

I am very interested in the Quantified Self conference to be held in Mountain View, California, May 28 and 29.  While I have attended just a few of the in-person meet-ups, which were engaging and intriguing events, I have followed the blog and tweet stream closely.  These events feature short presentations about practices, prototypes, and products that record information about our own behavior and activity.  It is great to hear that, as the meet-ups grew to become very large, a conference has been organized to accommodate the demand and growing interest in the intersection of sensors and other devices with medical and personal self-monitoring.  Using a variety of devices, our lives can now create detailed inscriptions that illuminate our behavior and patterns with novel clarity and detail. (See: http://quantifiedself.com/conference/)

I plan to attend.  I will speak on Sunday morning at a 10:30 breakout session on using social media network analysis to map personal and collective social media spaces.

Quantifying the “Quantified Self” discussion in Twitter: Here is a map of the connections among the people who recently tweeted the string “quantified self” on May 25th, 2011.

[flickr id=”5760875146″ thumbnail=”medium” overlay=”true” size=”medium” group=”” align=”none”]
Click for larger image.

The top most between participants in this graph were:
[flickr id=”5760331211″ thumbnail=”medium” overlay=”true” size=”medium” group=”” align=”none”]
@timoreilly
@quantifiedself (-1)
@harscoat (-)
@edyson
@qsparis
@egadenne (-4)
@agaricus (-)
@brunoaziza
@adriana872
@chloester

Bolded users also appeared in a previous map made earlier in the year, on January 20, 2011, which looked like this:
20110120-NodeXL-Twitter-Quantified Self Graph Highlighted Most Between User with tooltip

This is the list of the most “between” users in this network on January 20th, 2011:
20110120-NodeXL-Twitter-Quantified Self Graph Top Between List
The most between participants in this graph are: @quantifiedself, @egadenne, @harscoat, @genomera, @neufit, @jxa, @agaricus, @emergentorder, @bulletproofexec, @2healthguru.

The topics discussed in the quantifiedself tweet stream can be rendered as a network graph based on words that co-occur:
20110120-NodeXL-Twitter-Quantified Self High Between Keyword Co-occurance Network Graph

[flickrset id=”72157626748710875″ thumbnail=”thumbnail” photos=”” overlay=”false” size=”small”]

Posted in All posts, Conference, Location, Measuring social media, Medical sensors, Mobile Devices, Mobile Social Software, Network clusters and communities, Network visualization layouts, NodeXL, Quantified Self, Robotics and human augmentation, Sensors, SMRF, Social Interaction, Social Media, Social Media Research Foundation, Social network, Social Roles, Social Theories and concepts, Sociology, Technology, Visualization Tagged 2011, Devices, Documentation, EventGraph, Health, Medical, Monitoring, NodeXL, QS, Quantified Self, Self, Sensor, Sensors, SNA, socialmedia, Surveillance 1 Comment

Slides: Autobiography, Mobile Social Life-Logging and the Transition from Ephemeral to Archival Society

07MayMay 7, 2015 By Marc Smith
Princeton Center for Information Technology Policy

Princeton Center for Information Technology Policy

Here is the slide deck I presented at the “Studying Society In A Digital World” conference at the Center for Information Technology Policy at Princeton University.  They just posted most of the conference slides.  I took some pictures and posted to flickr.  Here is the slide deck I presented along with my talk at the conference.

Autobiography, Mobile Social Life-Lagging and the Transition from Ephemeral to Archival Society

View more presentations from Marc Smith.

The theme of mobile sensor data shared via social networks was one reinforced by the many presentations at the conference. In my talk, I focused on the idea that information want not to be free or expensive, rather, information wants to be copied.  Like DNA, the goal of any string of bits is to make a duplicate copy of themselves.  Several technical realities mean that while information may exist on a spectrum from private to public, it only moves in one direction (public) and almost never back.  Once made public on the Internet, even if only for a moment, a photo, document, or other digital object is almost certainly to have been copied, indexed, backed up, or replicated.  All efforts to delete a digital object once widely distributed is like trying to take wine out of water.  This is because all cryptography become brittle over time, most bits end up exposed after they get distributed, and more events trigger widespread distribution of bits than expected (for example, linking a photo, and a location, to a tweet that gets copied to LinkedIn and Facebook, that then appears in an RSS feed and is copied from there to Friend Feed.  As it travels, information looses more of the access controls that initially made it relatively private until it is effectively public.

Posted in All posts, Collective Action, Community, Location, Measuring social media, Medical sensors, Metrics, Mobile Devices, Mobile Social Software, Research, Sensors, Social Interaction, Social Media, Social network, Social Roles, Sociology, Talks, Technology Tagged Marc Smith, Mobile, Princeton, Sensors, Slides, social, Talk

Electrification of the Interaction Order, or, eGoffman

18FebMay 7, 2015 By Marc Smith

The great sociologist Erving Goffman wrote a number of influential works about a domain of social life he called the “interaction order”, the realm of interactions between people.  Goffman studied how interactions are structured in the most common settings like how people pass by each other in hallways, manage eye contact, or show that they are “together” with someone else.

Goffman did write about telephone conversations as well as the ways broadcasters altered the patterns of spoken interactions in radio transmissions but he died before mobile phones became popular or online Internet social spaces became mainstream.  Several scholars have applied Goffman to social interaction in cyberspace.  There are lots of possible connections: Goffman wrote at length about the ways people “present” their identities to one another as if we were all actors on a stage.  After decades of “reality TV” this is not the revolutionary thought it once was in Goffman’s day.  Today his work can be a guide to studying the ways people now use the Internet to create representations of themselves and interact with one another.  Profiles on social network systems and other kinds of Internet based media publication tools are a new kind of surface for displaying membership insignia and symbols of connections with other people.  Like clothing or landscaping, Internet media are a medium for self-expression and claims to membership in a number of demographics and sub-cultures.

It is no longer necessary to bring Goffman to the Internet; the Internet is coming to Goffman.  Goffman’s work has even more value in the coming years.  The main focus of his work was the minute details of face-to-face interactions.  Goffman relished the details of careful control of eye contact and posture, tone of voice and timing.  When applied to “online” media this aspect of Goffman’s work has been applied metaphorically to the interactions of avatars and user names.  It is certainly possible to extend Goffman into these Internet spaces.  But now Internet spaces are extending themselves into the Interaction Order.

Mobile Internet devices are now along for the ride in many of the situations Goffman wrote about: meetings and encounters between people which feature exchanges and evaluations of identity claims.  Mobile phones are becoming more general purpose networked mobile computers.  Today these devices remain end points of Internet data more than sources.  But increasingly mobile devices have sensors that allow them to measure physical states of their owners and the presence of others in proximity.  When my phone notices your phone and can tell that it is your phone new opportunities emerge for people interacting in the interaction order.

The “interaction order” has been very analog and few innovations have taken place there — with a few notable exceptions.  Speech and body adornment were both big innovations that gave humans a big advantage in the creation of complex societies.  Since those novel practices there have been few things that have dramatically altered the basic nature of human to human interaction in face-to-face situations.  It could be argued that refinements like amphitheaters increase the number of people who can usefully gather in one place and still hear one another.  Similarly, writing and printing altered the interaction order only to the extent that sitting side-by-side with someone looking at the same relatively rare books created a structured interaction space but not new ways of presenting who we are or reading one another’s claims.

Clocks and maps help people get to an interaction at the right time and in the right place, but they do not change the basic capacity to signal between people.  Phones and cell phones create new kinds of spaces for an interaction order – with novel rules, but they do not change face-to-face interaction as much as they pull people out of face-to-face interactions and into a network mediated interactions.

Goffman will have renewed value for those trying to understand the impact of mobile devices because for the first time networked digital machines are aware of social interactions and are able to alter how we interact with each other.  The Interaction Order is “electrified” when we bring devices into our interactions with other people and those devices help us display the right symbols to others and access the right symbols about others.

Posted in All posts, Medical sensors, Mobile Devices, Mobile Social Software, Sensors, Social Media, Sociology Tagged Goffman, Mobile Social Software, Sensors, Social Interaction 3 Comments

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Transparency in Social Media

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Apply NodeXL in espanol!

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hashtag.
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https://amzn.to/305Hpsv

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