"MLKSHK likes to tweet links to images that get 10 likes. This view is prettier."

RT @jeremie Awesome! RT Creator of Instant Messaging Protocol to Launch App Platform for Your Life via @marshallk
"Jeremie Miller is a revered figure among developers, best known for building XMPP, the open source protocol that powers most of the Instant Messaging apps in the world. Now Miller has raised funds and is building a team that will develop software aimed directly at the future of the web.

Called The Locker Project, the open source service will capture what's called exhaust data from users' activities around the web and offline via sensors, put it firmly in their own possesion and then allow them to run local apps that are built to leverage their data."

the Eric Schmidt privacy/name change issue... v. funny

RT @girlonetrack: If anyone missed it earlier: If Historical Events Had Facebook Statuses: It really is rather GOOD.

Thought-provoking. Pandas and Lobsters: Why Google Cannot Build Social Applications So maybe they should be themselves

Is Twitter A Complex Adaptive System? Great post by @venessamiemis http://tinyurl.com/yh3vmr7

Facebook update used as an alibi http://bit.ly/2xtjn6

for a good explanation of google's social search see post @sengineland http://bit.ly/EFBBX

New post by @monkchips "blew my head clean off". How many so-called “soc media experts” have read any network theory?" http://bit.ly/2hfWSc

The difference between finding, locating and discovering: http://bit.ly/z7hVC (via my @GigaOMPro colleague @edgubbins) (via @celrae)

Cliqset helps you bring together the social information (photos, bookmarks, location, etc) you have scattered around the web so you can easily share it with the apps, websites and people you trust.

A large body of literature on social networks in organizations demonstrates that certain types of network topology are optimal. However, little research leverages the ample data created by people‘s electronic communications to refine and verify theories. This gap is problematic, because the literature on organizational networks suffers from the same deficits as much of the social network literature: both tend to be focused on small, static networks. In this study, we mitigate this gap by collecting and mining the largest organizational social network ever collected. We find that not only does the population level topology of social network correlate with performance, attributes of the nodes in a social network such as human capital and status that can be beneficial to work performance. In addition to an individual‘s own human capital and network position, the human capital and status in one‘s network can be instrumental to one‘s success.