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The Worst Malware Ever (and What It Teaches Us About Malware of the Future)

The Realtime Report

For the most part, these new malicious programs contain recognizable elements and exhibit in predictable patterns, making them worthy of adding to antivirus signature lists but not quite worth reporting on to the general public. As a result, these samples of malware often influence how malware is developed and launched going forward.

Banking 87
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The Worst Malware Ever (and What It Teaches Us About Malware of the Future)

The Realtime Report

For the most part, these new malicious programs contain recognizable elements and exhibit in predictable patterns, making them worthy of adding to antivirus signature lists but not quite worth reporting on to the general public. As a result, these samples of malware often influence how malware is developed and launched going forward.

Banking 79
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Six Links Worthy Of Your Attention #54

Twist Image

(but if you're not in Canada or the US, you'll just have to chug some maple syrup, fire a gun, and pretend) First off: the tech world was abuzz this week with Google + , a new entrant into social networking from a giant that seems to have learned the lessons of Buzz and Wave. online social network. Everything Is A Remix.

Remix 100
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Social Media Data Collection: Why and How You Should Do It

Hootsuite

Social media data collection can help you customize your social media marketing strategy for each social network. Here are some of the questions social media data mining can help answer: What is the demographic profile of your following on each social platform? Track platform-specific social data.

Data 94
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From Shared Databases to Communities of Practice: A Taxonomy of Collaboratories

Buzz Marketing for Technology

Dataset and Sampling Methods. Crane (1972) first described the loosely-affiliated but highly interactive networks of scientists as "invisible colleges." Dataset and Sampling Methods. The breadth of this definition of a collaboratory complicated the choice of a sampling technique. School of Information.

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6 Science-Backed Strategies to Get More Followers on Twitter, Facebook, Instagram, and More

Buffer Social

The Rutgers team ended up creating the term “meformer” after analyzing data from a sampling of Twitter accounts. Their analysis, based on patterns of usage along with tweet and follower data, found a clear divide between those who share information and those who share about themselves. And how does this relate to followers?

Twitter 81
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4 Lessons from BuzzFeed’s Worst Headlines

Convince & Convert

To explore how to formulate a headline that generates the most page views and shares , Buzzstream and Fractl decided to take a different approach: We looked at a set of low-performing headings to identify key patterns and distinctions. For our data set, we turned to BuzzFeed, a publisher that dominates in social shares.