Not exact matches
The
analysis, done by Millennial Branding and analytics company Identified.com, was created by a team of data scientists crunching raw information
from 4 million Facebook profiles of young people to uncover how they are representing themselves on Facebook — and whether they're using the
social network for business purposes.
The free app provides a forecast of next day price directions for U.S. stock indexes and equities using text
analysis and proprietary algorithms to analyze and encapsulate the online sentiment of publicly traded companies
from seven million web pages published by over fifteen thousand sources, including news outlets, financial analysts, corporate websites and
social networking sites such as Twitter and Facebook.
Indiana University researchers have been awarded a $ 1.4 million grant
from the National Institute on Drug Abuse for a study that will use
social network analysis to examine «doctor shopping,» in which patients visit multiple physicians to get prescriptions for controlled substances.
We take a multidisciplinary approach to research that integrates theory and methods
from cognitive neuroscience, machine learning,
social network analysis, and
social psychology.
The new matching system gives each person a profile score, which is calculated
from information like age, education,
social network analysis and even facial structure.
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From Facebook and Twitter to Google Plus and Tumblr, follow the evolution of
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One innovation of the study was the use of
social network analysis to directly assess who children reported talking to or seeking help
from and whether children who identified peers with stronger reading skills experienced higher reading skills.
The New Schools
Network (NSN) has today released an
analysis of exclusion data that reveals 20 children are excluded
from school each day for racist abuse, arguing that the new category of opening free schools where there is a «
social need» would allow groups to «create schools designed to build community cohesion».
Attendees will learn how insights
from criminology and game studies can work in conjunction with
social network analysis and machine learning to provide a more effective solution for detecting certain varieties of cheating.
re: # 34 John Philips As it happens, in the near future, you may want to revisit the Wegman Report... — For example, Wegman & co were so expert at
Social Network Analysis that pp.17 - 22 of the WR bear «striking similarity» (that's the legal term, most people say plagiarism)
from Wikipedia, Wasserman & Faust (1994) and deNooy, Mrvar, and Bateglj (2005), as shown by Deep Climate in April.
The paleoclimatology community seems to be tightly coupled as indicated by our
social network analysis, has rallied around the [Mann] position, and has issued an extensive series of alternative assessments most of which appear to support the conclusions of MBH98 / 99... Our findings
from this
analysis suggest that authors in the area of paleoclimate studies are closely connected and thus «independent studies» may not be as independent as they might appear on the surface.
But I understand
from JQ's post that this is not the case with the material that constitutes the subject matter of the
social network analysis in question.
Ensuing detail appears to draw heavily, without attribution,
from the Wasserman and Faust classic,
Social Network Analysis: Methods and Applications (1994, Cambridge University Press).
At Stanford University, researchers
from the Stanford
Social Network Analysis and the Law Program (SNALP) are using a different approach to visualize legal cases on international arbitration.
The method here consists of applying
social network analysis to a knowledge base of cases
from institutions such as the International Centre for Settlement of Investment Disputes, the Permanent Court of Arbitration, the UN administrative courts, and the World Trade Organization.
Whether or not one treats the majority opinion's public forum
analysis of
social networks as «dicta» (which is legalese for «stuff in an opinion I don't like so I don't consider binding»), all 8 Supreme Court justices agreed that subscribers have a First Amendment right to access information and speak online, and that the government can not prohibit a person
from accessing content that has nothing to do with preventing repeat offenses — even when the repeat offense is child molestation, and the evidence arguably supported that child molesters were particularly prone to repetition.
Tencent leveraged its 980 million monthly active users on the WeChat mobile messaging app, the 653 million monthly active users on its older QQ messaging platform and the company's attendant
social network (think Facebook) to juice growth of its video streaming offering, according to
analysis from The Motley Fool.
Three weeks after Facebook banned Cambridge Analytica, a UK - based political data
analysis firm the
social network said improperly received as many as 87 million user profiles leaked
from its service, Facebook has made a second high - profile move.
The
social networks could deploy a number of measures, he told TechNewsWorld, ranging
from monitoring the IP addresses of suspect accounts to refining their
analyses of the language in posts, looking for key indicators of actors who don't speak English as their first language.
It includes the latest news
from all — Obama, Romney, neutral — perspectives, updated national, state and local polls,
analysis of conversations across
social networking sites such as Facebook and Twitter, a tracker to find polling...
Lead MIECHV evaluators
from Maine, Massachusetts, Colorado, and Florida will discuss a range of methodologies,
from interviews and case studies to
social network analysis, emphasizing key findings, inherent challenges and lessons learned.
Lubomir Sirkov
analyses the incoming signals and liaises with national and international bodies, Internet providers and
social networking sites for the quickest possible removal of inappropriate online content, apprehension of people involved in child abuse, and identification of underage victims in order to protect them
from future harm.
To the contrary, we found an inverse relationship between multi = partnered fertility and perceived instrumental support
from social networks in our pooled
analysis.
Social network analysis and methods sensitive to intraindividual variability were integrated to examine weekly covariation between group process and participant progress, and to predict post-intervention outcomes
from levels and changes in group process.