Research: Risks of Friendships on Social Networks
Authors: Prepared by Cuneyt Gurcan Akcora, Barbara Carminati and Elena Ferrari (DISTA, Universita` degli Studi dell’Insubria Via Mazzini 5, Varese, Italy), Risks of Friendships on Social Networks is a prepared paper submitted and accepted by the 2012 IEEE Conference on Data Mining (ICDM).
Abstract: In this paper, the authors explore the risks of friends in social networks caused by their friendship patterns, by using real life social network data and starting from a previously defined risk model. Particularly, they observe that risks of friendships can be mined by analyzing users’ attitude towards friends of friends. This allows new insights into friendship and risk dynamics on social networks.
Analysis: Summarized analysis from this paper includes observations on:
Applicability: Risks of Friendships on Social Networks offers unique insight into the privacy risks of online friendships and provides salient considerations for the development of risk models that could be applied to social network users.
Access: (PDF) http://bit.ly/Xk5mlX (arXiv.org)
This entry was posted on Tuesday, February 19th, 2013 at 2:26 pm. It is filed under chronology, discover and tagged with research, social media. You can follow any responses to this entry through the RSS 2.0 feed.
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Since its 2007 introduction, kCura’s Relativity product has become one of the world’s leading attorney review platforms. One of the elements of Relativity’s strong growth and marketplace acceptance has been kCura’s focus on and support of partnerships. Provided as a by-product of review platform research and presented in the form of a simple and sortable table is an aggregation of kCura Premium Hosting Partners and Consulting Partners.
Taken from a combination of public market sizing estimations as shared in leading electronic discovery reports, publications and posts over time, the following eDiscovery Market Size Mashup shares general worldwide market sizing considerations for both the software and service areas of the electronic discovery market for the years between 2013 and 2018.
“So what’s the big deal?” I asked Mark Noel, one of our senior Predict consultants (and much smarter than me about this stuff). “Moving from one document in 100 to seven doesn’t seem like much of an improvement,” I added. “Why couldn’t we get these numbers up to 35% or, heck, even higher to 60% or more?”
Discovery, as all lawyers know, is the process of collecting and exchanging information about the court case to prepare for the trial. Traditionally, this was done by many lawyers over countless billable hours in which every page of potential evidence was examined for important information. Because of this, the more information existed in reference to a case, the more expensive the case was.
The consensus view is that after the purchase Microsoft will essentially disband Equivio and absorb its technology, its software designs, and some of its experts. Then, as Craig Ball predicts, they will wander the halls of Redmond like the great cynic Diogenes. No one seems to think that Microsoft will continue Equivio’s business.
In my previous post, I found that relevance and uncertainty selection needed similar numbers of document relevance assessments to achieve a given level of recall. I summarized this by saying the two methods had similar cost. The number of documents assessed, however, is only a very approximate measure of the cost of a review process, and richer cost models might lead to a different conclusion.
One distinction that is sometimes made is between the cost of training a document, and the cost of reviewing it. It is often assumed that training is performed by a subject-matter expert, whereas review is done by more junior reviewers. The subject-matter expert costs more than the junior reviewers—let’s say, five times as much. Therefore, assessing a document for relevance during training will cost more than doing so during review.
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Updated 7/23/2013: Provided for your consideration and use are the in-progress results of the Predictive Coding and Provider Survey launched...