Socilab.com

Website Ranking Data
Current Alexa Rank

421,337

Updated Jan 11 2023
Historical Rank
Estimated Visitors

7,244

Daily Unique Visitors

224,557

Monthly Visitors

2,694,684

Yearly Visitors
Reddit links
Overall links 5
Overall rank 1193173
Overall share < 0.01%
Domain Information
Registrar GODADDY.COM, LLC
Created 15.02.2011
Updated 11.04.2013
Expiration 15.02.2014
Name Server Information
ns-1289.awsdns-33.org
ns-1564.awsdns-03.co.uk
ns-413.awsdns-51.com
ns-671.awsdns-19.net
Web Server Information
IP Address 54.203.244.149
Server Response 200
Web Server
Top related sites:
Meta Tags and Data
Title
Socilab - LinkedIn Social Network Visualization, Analysis, and Education
Meta Description
Socilab is a free tool that allows users to visualize and analyze their LinkedIn network. It works with the LinkedIn API to a) calculate structural hole metrics such as network density, hierarchy and constraint - and displays your percentile compared to other users of the tool, and b) display a dynamic/interactive visualization of your ego network with node coloring by industry and an option to enable/disable connections to self using D3.js. Users might find it useful for class tutorials. Former users of the now deprecated LinkedIn inMaps may find this to be a useful alternative.
Meta Keywords
social network analysis, linkedin, social network visualization, socilab, craig tutterow, network analysis tutorial, social network analysis tutorial, social network education, social network tutorial, open source, web app, linkedin inmaps, inmaps, inmaps alternative, inmaps replacement, linkedin inmaps replacement, linkedin inmaps alternative, linkedin network, linkedin social network, social network linkedin, my linkedin network, explore linkedin network, linkedin network messaging, social network analysis software, linkedin connections, linkedin api, professional networking, social network metrics, social capital, javascript, node js, d3js, d3, dynamic, interactive, sna, network, visualization, analysis, education, professional, social network data, odexl linkedin, nodexl, linkedin network study, linkedin network data, linkedin network tool, github, structural holes, betweenness centrality, betweenness, embeddedness, network density, network hierarchy, network constraint ...
Whois Information
Name
Craig Tutterow
Organization
Street
5534 S Dorchester Avenue
City
Chicago
Postal Code
60637
Country
UNITED STATES
Phone
336 7490687
Server Response
X-Powered-ByExpress
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