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Mobile Devices

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

July 17 – July 23, 2011 – NodeXL Session at Computational Social Science Workshop, Lipari Island, Italy

25AprMay 7, 2015 By Marc Smith


Logo
Lipari

I will be speaking at the Jacob T. Schwartz International School for Scientific Research week long Lipari School on Computational Social Science , July 17 – July 23, 2011, Lipari Island, Italy.

This year’s program is dedicated to Computational Social Science: Text and Decisions

Speakers:

  • Claudio Cioffi-Revilla: Director of the Center for Social Complexity, Krasnow Institute for Advanced Study, George Mason University, Washington DC.
  • Huan Liu: Community Detection and Mining in Social Media [abstract]
    School of Computing, Informatics, and Decision Systems Engineering, Arizona State University
  • Roel Popping: Computer-assisted text analysis, and the relevance of decision making and text mining [abstract]
    Department of Sociology, University of Groningen

Tutorials

  • Marc A. Smith: Charting Collections of Connections in Social Media: Maps and Measures with NodeXL [abstract]
    Chief Social Scientist, Connected Action Consulting Group
  • Calogero Zarba: Introduction to matrix algebra [abstract]
    Neodata Intelligence s.r.l., Italy
  • Alessandro Pluchino: Netlogo: An agent based simulation programmable environment [abstract], University of Catania, Italy
Posted in All posts, Collective Action, Common Goods, Community, Conference, Measuring social media, Metrics, Mobile Devices, Mobile Social Software, Network clusters and communities, Network data providers (spigots), Network metrics and measures, Network visualization layouts, NodeXL, Performance scale parallel and cloud computing, Research, Social Interaction, Social Media, Social network, Social Network Analysis, Social Roles, Sociology, Talks, Technology, University, User interface, Visualization Tagged 2011, Analysis, Italy, July, Lecture, Lipari, Marc Smith, network, NodeXL, Presentation, SNA, social, Talk, Tutorial, workshop

Geocode your Twitter network with NodeXL

19DecMay 7, 2015 By Marc Smith

As mobile devices become a major method for authoring and consuming social media, location data is increasingly a part of many posts, tweets, check-ins, and messages.  Many Twitter clients, for example, can add the user’s current latitude and longitude to the metadata associated with a tweet.  Other systems like Facebook Places, Google Latitude and Foursquare encourage users to declare  where they are to the world, often passing the information to other social media sites.

Using this location data in network analysis opens up a range of new opportunities.  Instead of a person – to – person social network, location data allows people to be linked to places and, by extension, places can be linked to other places based on the patterns of connection people create when located in a particular place.  A convergence of network analysis and Geographic Information Systems in underway.  A great example of this can be found in this wonderful video from the BBC which demonstrates the idea by mapping the flow of telephone calls, texts, and data around the UK and the wider world.


Link on the BBC

Even better is this video from the SensibleCity group at MIT:

Now, NodeXL (v.156) has the first of a series of features that will start to approximate the experience displayed in the video by supporting the import of location data about networks and plotting networks onto maps.

For now, we have started importing latitude and longitude data that Twitter makes available.  If you check “Add a Tweet column to the Vertices worksheet” in NodeXL, Data, Import, From Twitter Search Network or From Twitter User Network, the Twitter user’s geographical coordinates will be added to the Vertices worksheet when they are available.

Note that not every tweet has a latitude and longitude, in fact many do not (yet).  Further, note that not every latitude and longitude is accurate, many are not.

We need to implement more features for better location data support in a NodeXL workbook, but this is a start.  We are interested in exploring geospatial networks and Twitter is a great data source.  With this data in place we may look into features that emit KML files for exploration in other packages like Google Earth.  A nifty Google Earth/Spreadsheet importer can take small sets (400) of location data points in a spreadsheet and export them to a KML file, something we could implement in the future as well.  In addition we may be able to connect directly with services like Bing Maps and Google Maps to display connections between nodes with known locations.  Metrics that calculate the distance between nodes seem sensible as well.

Location coordinates are the key to a cornucopia of related data about a place.  Given a latitude and longitude it is possible to find the name of the city it is located in, look up data about that location in official records as well as resources like Wikipedia.  Income, education, property values, weather, photos, and more can be pulled together from just a simple lat/long.  All of these attributes could be used to cluster or illustrate the network visualization.

Posted in All posts, APIs and File Formats, Foundation, Location, Measuring social media, Mobile Devices, Network data providers (spigots), Network metrics and measures, Network visualization layouts, NodeXL, Sensors, SMRF, Social Media, Social network, Social Network Analysis, Technology, Twitter, Visualization Tagged 2010, API, Chart, Connection, Distance, geo, Geolocation, graph, Lat, Location, Long, Map, network, NodeXL, November, Place, SMRF, SMRFoundation, Social Media Research Foundation, Space, Spigot, Tweet, Twitter, update 1 Comment

29 and 30 September 2010 – Mobile Web in Africa, Johannesburg, South Africa (#MWA10)

24SepMay 7, 2015 By Marc Smith

I returned to South Africa to attend the 2010 edition of Mobile Web Africa, a conference focused on the remarkable adoption and development of mobile networks and technology in Africa.

The conference took place on 29th & 30th September 2010 in Johannesburg, South Africa.

I presented a workshop on social media network analysis, see: http://www.mobilewebafrica.com/marc-smith-workshop.php

2010 sept – mobile web africa – marc smith – says who – mapping social media crowds

View more presentations from Marc Smith.

The conference twitter hashtag #MWA2010 received a significant amount of traffic.  I mapped the collection of collections formed when people who tweeted “#MWA2010” also followed, replied, or mentioned one another.  The following two EventMaps of the #MWA2010 twitter hashtag illustrates the development of the network.

Mobile Web Africa 2010

Map of the connections among people who tweet “MWA2010” on October 5th, 2010

20100929-NodeXL-Twitter-MWA2010-Top Between

Map of the connections among people who tweet “MWA2010” on September 29th, 2010

The later graph is defined by three leading contributors who each generated significant retweeting along with mentions and replies.

I attended the previous 2009 Mobile Web Africa conference in Johannesburg, South Africa, organized by AllAmber Media which also featured a focus on the next wave of mobile devices and services.

Mobile is BIG in Africa.  The “Remote control of the Universe” = Mobile Phone.

The speaker from Samsung last year noted that for many Africans, the mobile device is their first and main method for managing digital objects.  A phone is not just a phone, it is a still and video camera, music player, watch, web browser, flashlight, wallet and file system.

Mobile Web Africa, Johannesburg, South Africa

The representative from Yonder Mobile Media noted that mobile phones have now exceeded the installed base of the previously most widely used communication technology: FM Radio.  But mobile is different from FM: mobile devices are two way, provide a method for exchanging payments, and are a primary method of access to the internet for many billions of people.  Mobile is the “first” screen for many people in Africa, not the third screen role that it plays in more developed economies.  Regional services like MXIT and The Grid are offering Internet services tailored to affordable mobile devices.

Photos from this year’s event:

[flickrset id=”72157625100738318″ thumbnail=”square”]

Photos from last year’s event:

[flickrset id=”72157622600743734″ thumbnail=”square”]

Photos from Cape Town:

[flickrset id=”72157624977171523″ thumbnail=”square”]

Posted in All posts, Collective Action, Common Goods, Community, Conference, Connected Action, Measuring social media, Metrics, Mobile Devices, Mobile Social Software, Network visualization layouts, NodeXL, Social Media, Social network, Social Network Analysis, Social Roles, Sociology, Talks, Visualization Tagged 2010, Africa, Analysis, Chart, graph, Marc Smith, Mobile, Mobile Web Africa, MWA, Presentation, September, SNA, Social network, Talk, Visualization

April 19 -21, 2010 – Conference: eComm 2010: Emerging Communications – Video now available

01SepMay 7, 2015 By Marc Smith

Emerging Communications America 2010

I spoke at the eComm 2010 conference on April 20, 2010, talking about:

Mapping mobile social networks with NodeXL: finding key users, groups, and locations

The video is now available:

The video reviews the creation of maps like this:

NodeXL - eComm 2010 Twitter Map

That illustrate the connections among people who tweet the term “#ecomm2010”, scaled by the number of followers.

Abstract: Social network analysis (SNA) is a powerful method for gaining insight into the massive collections of connections created when many people connect to one another through mobile devices. SNA has been widely applied to desktop social media and is moving into the mobile world. Prominent studies of the “call graph” have been produced at national scales.

Mobile providers are applying SNA to identify key subscribers who can reduce churn and help gain adoption of new services and products. Network analysis has historically had a steep learning curve, but now new tools are making SNA easier for less technical users. This talk will describe social network concepts and their application to mobile data sets. A free and open add-in for the popular Excel 2007 spreadsheet called NodeXL (http://www.codeplex.com/nodexl) can perform many complex SNA tasks like data import, scrubbing, metrics calculation, clustering, and visualization. Applying this tool to call graph and subscriber data sets can reveal key positions in the network that can attract and hold other subscribers in the system.

Examples of network analysis of social media and mobile data sets can be found on the Connected Action blog (http://www.connectedaction.net).

NodeXL - eComm 2010 Twitter Map

Posted in All posts, Conference, Industry, Mobile Devices, Mobile Social Software, Talks Tagged 2010, Conference, eComm, Mobile, NodeXL, Phone, San Francisco, San Jose, SNA, Social network, Talk

July 12-13, 2010: Microsoft Research Faculty Summit, Redmond, WA

08JulMay 7, 2015 By Marc Smith

Faculty Summit

The 2010 Microsoft Research Faculty Summit was held July 12 and 13 in Redmond, Washington.  Among the many panels and discussions related to the state of computer science the NodeXL team had several representatives talking about the ways network science education can be expanded using an easy to use application for network analysis built on Excel.

Jimmy Lin from the University of Maryland also attended to speak about programming in the cloud.

Here is the abstract for the NodeXL talk:

NodeXL – Social Network Analysis in Excel—Natasa Milic Frayling, Microsoft Research; Ben Shneiderman, University of Maryland; Marc Smith, Connected Action

Businesses, entrepreneurs, individuals, and government agencies alike are looking to social network analysis (SNA) tools for insight into trends, connections, and fluctuations in social media. Microsoft’s NodeXL is a free, open-source SNA plug-in for use with Excel. It provides instant graphical representation of relationships of complex networked data. But it goes further than other SNA tools—NodeXL was developed by a multidisciplinary team of experts that bring together information studies, computer science, sociology, human-computer interaction, and over 20 years of visual analytic theory and information visualization into a simple tool anyone can use. This makes NodeXL of interest not only to end-users but also to researchers and students studying visual and network analytics and their application in the real world. NodeXL has the unique feature that it imports networks from Outlook email, Twitter, flickr, YouTube, WWW, and other sources, plus it offers a rich set of metrics, layouts, and clustering algorithms. This talk will describe NodeXL and our efforts to start the Social Media Research Foundation.

Some photos from the event:

Saul Greenberg at the 2010 MSR Faculty Summit

Saul Greenberg

Ben Shneiderman and Andy van Dam 2010 MSR Faculty Summit

Ben Shneiderman and Andy van Dam

Ben Shneiderman, Natasa Milic-Frayling, and Marc Smith at the 2010 MSR Faculty Summit

Ben Shneiderman, Natasa Milic-Frayling and Marc Smith

Tom McMail and Marc Smith at 2010 MSR Faculty Summit

Tom McMail and Marc Smith

Posted in All posts, Conference, Microsoft, Mobile Devices, Mobile Social Software, NodeXL, Research, Social Media, Social network, Social Network Analysis, Talks, Visualization Tagged 2010, Bellevue, Ben, Conference, Event, Faculty, July, Meeting, Microsoft, Microsoft Research, Milic-Frayling, MSR, Natasa, NodeXL, Redmond, Research, Shneiderman, Social Media, Summit, Washington

Mobile Web Africa – October 13-14, 2009, Johannesburg, South Africa

05OctMay 7, 2015 By Marc Smith

2009 - October - Mobile Web Africa Banner

Next week I will be attending and discussing mobile social media and social networks at the Mobile Web Africa conference in Johannesburg, South Africa. It is my first time to Africa and I am excited to both visit and to discuss how mobile networked devices can change social organizations.  Mobile devices are in many ways more important in emerging and developing regions where the availability of these tools enable the first voice and data services that have ever been affordable and reliable, let alone mobile.  There are vast opportunities in this space, a topic well reviewed in the recent issue of the Economist:

2009 - Spetmebr - Economist - Mobile Marvels Cover Small

The Mobile Web Africa event will focus on these key questions:

  1. How will the industry evolve to a point where the vast majority of people have access to the mobile web and the content they want to view?
  2. How will the industry fully exploit existing and future opportunities?
  3. How can PC or mobile based developers and start-ups monetise their innovation and creativity to grow in to companies that will drive the expansion of the ecosystem?
  4. How can Operators, Original Equipment Manufacturers, global associations and other mobile powerhouses assist their smaller partners?
  5. How can societal and economic problems be tackled by the development of the capabilities of the mobile device?
  6. What handsets, standards, networks and designs will allow consumers to successfully access the content and consume it?
  7. How will the consumer be able to discover that content – through an Application, Browser, Search Engine, Advert, Social Network?

I will focus my discussion on the idea of the “Electrification of the Interaction Order” and topics related to the growing use of sensors on mobile devices and the sharing of the resulting data.  A service like SenseNetworks is a  good example of a mobile data collection, analysis, and presentation service.  Other sites, like Quantified Self, CureTogether, and FitBit, are examples of the social movements, web applications, and devices that are emerging in the self-monitoring medical tracking space.  These communities overlap with the trail based exercise communities of runners, bikers, skaters, hikers, and skiers, some with artistic inclinations.  I see a new wave of devices that are extensively quantify your “self” and “others”, perhaps when people swap sensor data with one another.  The recent work of Nathan Eagle and his co-authors illustrate the possibilities of using many devices with (already existing and widely used) sensors can generate remarkable maps of human behavior.  Much of this data will take the form of social networks as people are linked by “hyperties” – forms of association and connection that are authored by machines from the records of association and behavior.  People will be linked who have never met, in the same way that web book store customers who have never met can be linked by common browse and purchase patterns.  Hyperties will be formed by shared use of location, even if at different times, or patterns created by passing through different spaces at different times but in common patterns (Starbucks, then gas?  Or subway then tea shop?).  The notion of “Tribes” used by the SenseNetworks company is a good example of this approach.    The Economist is all over this topic, with another article “Mobile phones Sensors and sensitivity” that captures the topic.  Jonathan Donner’s work is also a good resource for insights on the role of mobile technology in many parts of the world.  The ability to enable a form of banking service is a particular benefit for the many people who do not have access to banking services.

[flickrset id=”72157622600743734″ thumbnail=”square”]
Posted in All posts, Conference, Data Mining, Ecology, Industry, Location, Measuring social media, Medical sensors, Mobile Devices, Mobile Social Software, NodeXL, Privacy, Sensors, Social Interaction, Social Media, Social network, Social Roles, Sociology, Talks Tagged 2009, MobileWebAfrica, October, South Africa, Talk

Social Media Network Analysis Workshop – October 29th in Mountain View, CA

27SepMay 7, 2015 By Marc Smith

2009 - September - NodeXL - CHI 2010 Tag Network
The network created by “Who follows who among the people who tweeted “#CHI2010”. Node size is proportional to total tweets. Generated with NodeXL

On October 29th, I will be offering a workshop in Mountain View, California on the application of social network analysis to the measurement of social media.

The workshop will run from 9m to 4pm and include hands-on exercises using real world social media data sets and the free and open NodeXL social network analysis add-in for Excel 2007.  We will create social network metrics and visualizations from personal email, twitter, facebook, and message board records to reveal the broad outline of a community, its various kinds of leaders and active participants, major cliques and clusters, and pivotal events.

The workshop will make use of the NodeXL tutorial:
http://casci.umd.edu/NodeXL_Teaching

Registration at:
http://www.eventbrite.com/event/386418789

I will post the slides for those who cannot attend, but the live event will allow me to help those interested in learning how to visualize social media networks and generate and interpret social network metrics.  What’s an “eigenvector centrality”?  Come find out why that number highlights special people in a network and how to calculate it on your own network data sets.  Find experts, identify the people who are most heavily connected, and key contributors. If you plan to attend, it would be great if you bring sample data: any edge list or matrix is fine.  We can plot and measure sample data participants bring along with them.

I will demonstrate how to create twitter network maps like the one above which shows networks of follows connections among a group of people who tweeted the string “#CHI2010” (as returned by search.twitter.com).  You can make your own twitter maps with NodeXL!  Similar maps can be made with a user name. In the workshop we will be sure to make a twitter network for anyone there who tweets.

Upon completion of this workshop, participants will:
* be able to understand the basics of SNA, its terminology and background.
* be able to transform communication data (e.g. Twitter, email, flickr, message boards etc.) into network data.
* understand the different possible presentations of social networks, e.g. in a matrix or a sociogram.
* apply network metrics and visualizations to find clusters and key contributors in real world social media data sets.
* get familiar with the use of standard SNA tools and software in general and the NodeXL social network analysis add-in for Excel in particular.
* be able to derive practical and useful information through SNA analysis that would help design an innovative and successful online community.

Who should attend? People interested in community management, social media monitoring and marketing, knowledge management, collaboration and human resources, legal discovery, organizational behavior and management

Registration.


View Larger Map

Other Maps:
Yahoo | Mapquest | Microsoft

Posted in All posts, Community, Conference, Measuring social media, Metrics, Mobile Devices, Mobile Social Software, NodeXL, Research, Shameless self-promotion, Social Interaction, Social Media, Social network, Social Roles, Sociology, Talks, Visualization Tagged 2009, Action, Analysis, California, Connected, Lecture, Marc, Marc Smith, Mountain View, network, October, Smith, SNA, social, Talk, Training, workshop 1 Comment

2009 April 28: National Initiative for Social Participation meeting at the University of Maryland

28MayMay 7, 2015 By Marc Smith

[flickrset id=”72157617551332795″ thumbnail=”square” overlay=”true” size=”medium”]
A few weeks ago I attended a meeting at the University of Maryland in College Park of a working group proposing a new “National Initiative for Social Participation”.  The meeting brought together people from the major universities, research labs, and government funding agencies to think about an “Apollo Program for Social Media”.  The idea is that data networks, social media applications and mobile devices could change disaster recovery or help governments deliver regular services and address common problems.

Peter Pirolli, research at PARC, presented the keynote about the challenges and opportunities for the use of social media to address social problems.

There is growing interest in this space, for example NSF funding was significantly increased this year. For example, there is the new NSF Social-Computational Systems (SoCS) program: http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503406&org=NSF&sel_org=NSF&from=fund

President Obama’s recent speech to the National Academy of Science (http://www.nasonline.org/site/PageServer) sets some of the context for this group’s vision, he speaks about crowd sourcing and its impact on science. (See minute 28:30) video is on the web site of the National Academy of Science http://edg1.vcall.com/video/nas/launch.asp

“I have charged the White House Office of Science and Technology Policy with leading a new effort to ensure that federal policies are based on the best and most unbiased scientific information. I want to be sure that facts are driving scientific decisions – and not the other way around.

As part of this effort, we’ve already launched a website that allows individuals to not only make recommendations to achieve this goal, but to collaborate on those recommendations; it is a small step, but one that is creating a more transparent, participatory and democratic government.”

Elsewhere in the speech there is a refernce to the role of (appropriately) digitizing medical records which I think includes the idea that people will increasingly gather online to work towards better personal health:

“The Recovery Act will support the long overdue step of computerizing America’s medical records, to reduce the duplication, waste, and errors that cost billions of dollars and thousands of lives.

But it’s important to note: these records also hold the potential of offering patients the chance to be more active participants in prevention and treatment. We must maintain patient control over these records and respect their privacy. At the same time, however, we have the opportunity to offer billions and billions of anonymous data points to medical researchers who may find in this information evidence that can help us better understand disease.”

There seems to be a role for the kinds of online communities and social media that people turn to when facing physical or medical challenges.

National Initiative for Social Participation at University of Maryland
http://iparticipate.wikispaces.com/Motivating+Scenario
http://chronicle.com/daily/2009/05/17280n.htm
http://www.flickr.com/photos/marc_smith/sets/72157617551332795/

Posted in All posts, Community, Conference, Interdisciplinary, Location, Measuring social media, Metrics, Mobile Devices, Mobile Social Software, Research, Sensors, Social Interaction, Social Media, Social network, Social Roles, Sociology, Uncategorized Tagged Maryland, Meeting, NISP, Participation, social, University

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

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Transparency in Social Media
Sorin Adam Matei, Martha G. Russell, Elisa Bertino

CÓMO ENCONTRAR LOS HASHTAGS MÁS POTENTES: Para convertir LEADS a VENTAS (SEOHashtag nº 1) (Spanish Edition)

Apply NodeXL in espanol!

CÓMO ENCONTRAR LOS HASHTAGS MÁS POTENTES - Para convertir LEADS a VENTAS (SEOHashtag nº 1) (Spanish Edition)
By: Vivian Francos from #SEOHashtag Comparto algunas de las mejores formas de elegir los hashtags más poderosos y
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