/home/leansigm/public_html/components/com_easyblog/services<title>Prediction of gentrification by social media</title>
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	<h1>Prediction of gentrification by social media</h1>
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			<span class="post-date">Jun 04</span>

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				Posted by <a href="/forum/user/1077-neha-kumari">Neha kumari</a>				in <a href="/resources/sigmaway-blog/social-media">Social Media</a>			</span>
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	<p class="MsoNormal" style="margin-bottom: .0001pt; line-height: normal;"><span style="mso-ascii-font-family: Calibri; mso-fareast-font-family: 'Times New Roman'; mso-hansi-font-family: Calibri; mso-bidi-font-family: 'Times New Roman'; color: black; mso-bidi-language: HI;">A new research has found that social media posts and check-ins can be applied to anticipate when an area is about to be gentrified. Researchers from the University of London investigated thousands of social media posts on Twitter and Foursquare to determine what venues and what neighborhoods brought people together of heterogeneous background versus those that attracted homogenous crowds. To know more please read the article by Jonathan Simrin (seeker's web producers): - <a href="http://www.seeker.com/social-media-predicting-gentrification-1732419822.html" target="_blank">http://www.seeker.com/social-media-predicting-gentrification-1732419822.html</a></span></p></div>

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		<a href="/blog/tags/social-media-1-2">
		<span itemprop="keywords">social media</span>
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		<a href="/blog/tags/gentrification">
		<span itemprop="keywords">Gentrification</span>
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		<a href="/blog/tags/heterogeneous-background">
		<span itemprop="keywords">Heterogeneous background</span>
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		<a href="/blog/tags/homogenous-crowds">
		<span itemprop="keywords">Homogenous crowds</span>
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