following is some software recommended for SEO
Alexa Toolbar
toolbar at Internet Explorer to know rank a website which we are open at Alexa.com. Side that also there are some other information about website which we are open.
Good Keyword V2 Softnik Technologies
Free software from Softnik Technologies to know density a keyword from some search engine: yahoo, overture_us and etc, including to measure link popularity.
Link Popularity Checker
Software to know popularity a website,and also applied to see site competitor. In it there are some range showing faction height of popularity.
what google search engine applies result from pagerank in SERP or listing result of their seeking in google search engine.
In giving result of seeking of google search engine applies some variables that is :
1. Page spesific factor
Part of your web page discussed in by article “ part paid attention by search engine“. This thing it is of course fully there is in your control and you ought to have been his(its optimal).
2. Anchor text Inbound link.
This thing sometime fully you can control and sometime not at all. To be more deepens this problem explained in article “ How making inbound link text which is good“.
3. Pagerank
Page spesific factors is things related to contents of content and your page, and this is a real good news, because your poison imagined if pagerank applied as first variable, possibly your page will never seen in first page of listing google. Because of first itu,hal shall done in seo is onpage optimization do not stir contacts other webmaster to change over link.
In giving result of seeking, before all google does assessment to index they are page that is most relevant and compares also inbound link the text. After found by result as according to kewords searched, then google value input pagerank in determining the listing sequence. So earned we to see though you to have high pagerank terlisting will not if wrong you in choosing contents of page spesific factor from every your page.
Result of listing from seeking with one keywords which is brief for example “ article” possibly will give imprecise result from page having high rangking, and would plenty of page having keywords in content they and having high pagerank of topmost listing although content the original far from relevant.
But as big of people surely applies keywords for example “ computer article”, because that is the importance of choosing correct keywords to do process seo.
you understanding programming, a process recursive means a function implemented and in it calls the same function, thus the process would be recuring always until comand or condition stopping it.
In Case google pagerank, google gives initial value pagerank for every page, at example of article Case carateristic google pagerank having 3 page, after given by initial value 1 hence to get value pagerank must be done iteration in the calculation.
From above example earned we to see that pagerank has been got after restating counted 3 times. But from publication google expressed that to get pagerank which either from overall of web page is done by restating process around one hundred 100 times. You can imagine what a the business server google in determining pagerank , by paying attention to structure link overall of web, number of outbound link, number of inbound link, the calculation out of billion web pages and repeats it 100 times.
Following is example of applying of algorithm pagerank which is simple because only 3 page :
Page A refers to page B and C
Page B refers to page C
Page C refers to page A
At google pagerank adjacent factor setting to be valuable 085, but at example of this Case given value 0,5 to easy calculation. Adjacent factor hardly influences pagerank but doesn't influence base principle pagerank. If it is applied algorithm pagerank at this Case hence will be got result as follows :
PR(A) = 0.5 + 0.5 PR(C)
PR(B) = 0.5 + 0.5 (PR(A) / 2)
PR(C) = 0.5 + 0.5 (PR(A) / 2 + PR(B))
Value pagerank each page is :
PR(A) = 14/13 = 1.07692308
PR(B) = 10/13 = 0.76923077
PR(C) = 15/13 = 1.15384615
If it is summed up third value pagerank is 3, equal to number of the pages.
You surely is bewildered where the number is gotten. That can get the value, like the one have been explained before all, pagerank is determined the value through calculation which recursive and is each other related, and algorithm pagerank gives a constanta initial value pagerank for every web page.
From approach which have been explained at concept article pagerank, Lawrence Page and Sergey Brian makes algorithm pagerank which in one of the publication is written down as follows :
Algoritma 1
PR(A) = (1-d) + d ( ( PR(T1) / C(T1) ) + … + ( PR(Tn) / C(Tn) ) )
Algoritma 1
PR(A) = (1-d) / N + d ( ( PR(T1) / C(T1) ) + … + ( PR(Tn) / C(Tn) ) )
PR(A) be Pagerank page A
PR(T1) be Pagerank page T1 is referring to page A
C(t1) be number of link exit ( outbound link) on page T1
d is adjacent factor which able to be given between 0 and 1.
N is web page grand total ( index by google)
From algortima is upper able to be paid attention that pagerank determined for every you page is not overall of website you. Pagerank a page determined from pagerank referring page to it also experiences determination process of pagerank in the same way, thus this process would be recuring until found by correct result.
Pagerank page A indirectly given to page gone to, however before all is divided with number of link ( outbound link) of the page T1, and pagerank value will be divided is plane to every link of the the page. And so it is with every other page “ Tn” is referring to page “ A”.
After all pagerank gotten from other pages referring to page “ A” summed up, the value then is multiplied with adjacent factor which is valuable between 0 until 1. This thing is done in order not to overall of value pagerank tee page is distributed to page A.
