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Networks, Percolation, and Consumer Demand
In particular, we showed that small-world networks, which exhibit short path lengths and high clustering (Watts & Strogatz 1998), lead to fast but often only limited diffusion compared to fully random networks, which exhibit short path lengths and low clustering. The reason for limited diffusion in small-world networks is the redundancy in information spreading due to clustering. Accordingly, consumer welfare is much lower in small-world networks than in random networks for a wide ranges of prices.John Maynard Keynes’s Own Portfolio Not Too Dismal - The New York Times
Although he was building wealth for his own account and the institutional funds throughout the 1920s, he did not see the 1929 debacle coming and was almost cleaned out again. The 1929 crash and resulting Great Depression left Keynes intellectually shellshocked, so he changed his strategy. Professor Chambers and Professor Dimson discovered that sometime in the early 1930s he backed away from short-term trades and commodities and focused on stocks. No longer would he pay attention to overarching economic theories or short-term sentiment: The “animal spirits” of the market’s unpredictable pixies could not be trusted. He sensed that security prices were not true indicators of company values.What is Media Matters for America? The organization that found Tucker Carlson's tapes. - The Washington Post
“When we did a power mapping of the landscape at the end of 2016, early 2017, what we found was that so much of what used to be dismissed as the fringes was now where power was being organized: 4chan, Daily Stormer comment sections, subreddits,” Carusone said. “These would never have been considered worthy enough or important enough to monitor [before]. But we looked at it, and they were — they were driving a lot of the misinformation and fake news of 2016. They were creating a lot of material that was making it onto Fox News or Donald Trump’s Twitter feed.”Remembering David Carr - Twiangulate Blog
This amazing man -- the boy from Hopkins, Minnesota, brilliant writer, father of three, recovering crack addict, recovering alcoholic, cancer survivor -- was followed by more Times-tweeps than powerful newspapers (WSJ: 300 NYT followers), presidents (Obama: 244), former Presidents (Clinton: 181), stars (Lena Dunham: 182; Jon Stewart: 175), moguls (Bloomberg: 172), or political honchos (David Axelrod: 159.) David also had far more NYT followers than fellow staffers like @nickkristof (1,563,804 followers, 378 from NYT staff) or @NYTimeskrugman (1,309,170 followers, 263 NYT staff.)
Companies are using big data sources like TalentBin and tools like LinkedIn Recruiter to go out and find passives, learn about them, and use contact points like a shared connection on LinkedIn, a colleague who went to school with a candidate, or data on their interests to make a more engaging approach.
In fact, the data and services LinkedIn sells to recruiters is one of its biggest businesses, accounting for 57% of its revenue and growing 80% year-over-year.
Topsy makes its money from more sophisticated tools — aimed at marketers, media companies, political operations, and hedge funds — that require a subscription fee that starts at $12,000 a year. Those allow searches that compare different terms, narrow down results by geography and surface the specific tweets with the most influence on the social conversation.