tool for mapping outgoing links
Dear all, I'm looking for a tool that would analyze and visualize outgoing links from a random website (one that I have no administrator's access to). Any suggestions, any ideas, any tools you've used and liked or hated? thanks, a -- Ana Keshelashvili http://postsbyme.com http://socialblurbs.ge http://twitter.com/anano
Hi Anna, VOSON (Virtual Observatory for the Study of Online Networks) will do what you want. It is available as both a web application (VOSON System) and a plugin to NodeXL (http://nodexl.codeplex.com) which is an Excel 2007/2010 template for social network analysis. Information about the tools and research can be found here: http://voson.anu.edu.au. We are now signing up accounts here: http://www.uberlink.com. Other commonly-used web crawlers that I'm aware of are SocSciBot (http://socscibot.wlv.ac.uk/) and Issuecrawler (https://www.issuecrawler.net/) Rob ------------------------------------- Dr Robert Ackland Fellow and Masters Coordinator, Australian Demographic and Social Research Institute, The Australian National University homepage: http://adsri.anu.edu.au/people/robert.php project: http://voson.anu.edu.au Information about the Master of Social Research (Social Science of the Internet specialisation): http://adsri.anu.edu.au/graduate-study/ssi ------------------------------------- Anna Keshelashvili wrote:
Dear all,
I'm looking for a tool that would analyze and visualize outgoing links from a random website (one that I have no administrator's access to). Any suggestions, any ideas, any tools you've used and liked or hated?
thanks, a
Hello, Please consider submitting a paper to the following session at the RC33 International Conference on Social Science Methodology (Sydney 9 - 13 July, 2012). The conference website is: http://acspri.org.au/conference2012 ===== Social Media Network Analysis This session is focused on innovative approaches for collecting and analysing social media network data in the context of social science research. Relevant data sources include digital trace data from newsgroups, WWW hyperlink networks, virtual worlds, social network sites (e.g. Facebook), blogs and micro-blogs (e.g. Twitter). While all papers focused on innovative research methods for born-digital social data are welcome, preference will be given to those involving statistical social network analysis techniques. We are also interested in papers focusing on computational social science and the challenges (and opportunities) for social scientists in an era of abundance of large-scale social media data sets. ===== Regards, Rob ------------------------------------- Dr Robert Ackland Fellow and Masters Coordinator, Australian Demographic and Social Research Institute, The Australian National University homepage: http://adsri.anu.edu.au/people/robert.php project: http://voson.anu.edu.au Information about the Master of Social Research (Social Science of the Internet specialisation): http://adsri.anu.edu.au/graduate-study/ssi -------------------------------------
participants (2)
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Anna Keshelashvili -
Robert Ackland