On Sat, Dec 21, 2013 at 2:58 PM, Ali Gajani <aligaj...@gmail.com> wrote:
> Many thanks for your input Tom. An in-degree is the number of incoming
> edges towards that node. I think that captures *influencer: influencee
> (Aristotle : Alexander, Aristotle : Myself)*, which means, in this
> scenario, Aristotle (the node), has an in-degree of 2. I thought in-degree
> was a measure of influence rather than an outdegree. Remember, this is
> going to be plotted as a *directed* graph in Gephi. I'll be curious to
> know how I'll actually distinguish in-degrees and out-degrees in Gephi
> practicaly, but anyway.
>
It really depends on whether your relation is influencer -> influenced ->
influencee or influenced <- hadInfluencee <- influencee (ie which way the
directed edges in the graph run).
> Moreover, I didn't quite get about how I could do a Page-Rank style style
> aggregation on this specific scenario. Could you please provide some
> examples using actual person names so I can digest it well in my head.
> Thanks for getting my head working though, but I still believe the
> Wikipedia data gives you a decent impression of influence to an extent,
> albeit not the most accurate, but it kind of appears to be right in one way
> or the other.
>
You can't do PageRank from just the counts. You need the full network of
links. As an example, if Marx had the most direct influencees, but
Aristotle influenced Marx, shouldn't that count for something? Perhaps
more? BTW, Freebase actually thinks Nietzsche is first by simple count,
not Marx, but the underlying data is so biased and incomplete for both
Wikipedia & Freebase, that I'm not sure it's worth pursuing a more
sophisticated weighting.
Tom
p.s. If you're using Gephi, it has a PageRank implementation
http://wiki.gephi.org/index.php/PageRank
>
>
> On Sat, Dec 21, 2013 at 7:49 PM, Tom Morris <tfmor...@gmail.com> wrote:
>
>> On Sat, Dec 21, 2013 at 2:24 PM, Ali Gajani <aligaj...@gmail.com> wrote:
>>
>>> ... I want to make sure I can use this dataset to count indegrees (high
>>> influencers) properly. It is impossible to survey all the rows to ensure
>>> the knowledge is true, but I am asking anyway.
>>>
>>
>> Presumably you mean out-degree if you're talking about influencers. A
>> simple count doesn't sound like it'll capture the real influence. Even if
>> you assume that Wikipedia has a comprehensive and unbiased coverage of
>> influential people (almost certainly not true), shouldn't influencing
>> someone influential count more? That would imply you need to do a page-rank
>> style aggregation of link weights.
>>
>> Tom
>>
>
>
>
> --
>
>
> Ali Gajani
> Founder at Mr. Geek
> www.mrgeek.me
> www.aligajani.com
>
>
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