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Data modeling / Real-time web / Social media / Text messaging / Twitter / Websites / Network science / Communications protocol / Data model / Information / Data / Technology


Interactive, Browser-based Information Foraging in Heterogeneous Space-Centric Networks Alexander Savelyev1,2 and Alan M. MacEachren1,3 Abstract – Social media data can be thought of as a multi-dimensional dataset that
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Document Date: 2014-08-12 09:38:50


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Weaver / Browser / London / Paris / /

Company

Mining Heterogeneous Information Networks / International Journal / Twitter / Heterogeneous Information Networks / Apple / /

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Japan / United Kingdom / Ghana / Lebanon / /

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Facility

Pennsylvania State University / /

IndustryTerm

data mining techniques / given network / spacecentric networks / query tool / actual network / path-based search / crisis management / transport infrastructure / heterogeneous network / selection tool / graph database technology / standardized coordination protocol / media data / web-based social media geovisual analytics environment / simpler networks / network analysis algorithms / mining / heterogeneous networks / potent multi-dimensional exploration tool / miniature network / Web Text / research collaboration network / prototype meta-path selection tool / meta-path selection tool / information transit networks / /

Organization

The Pennsylvania State University / Department of Geography / United States Army / Topographic Engineering Center / GeoVISTA Center / /

Person

Bob / /

Position

author / e.g. author / data model / as explained below / dedicated coordination manager / Engineer Research and Development Center / analyst / particular author / /

Product

P-0334 / /

ProgrammingLanguage

R / C / JavaScript / /

ProvinceOrState

South Dakota / Pennsylvania / /

PublishedMedium

Computer Graphics / /

Technology

network analysis algorithms / graph database technology / Uniform Resource Identifier / GPS / data mining / standardized coordination protocol / /

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http /

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