Link Analysis Systems And Page Rank Algorithm | Google Ranking Signal

Is article mein hum Link Analysis Systems and Page Rank Algorithm par baat kar rahe hain. Link Analysis Systems and Page Rank Algorithm kaise kaam karta hai, Iska aapki website SEO par kya effect padta hai? Isko kaise optimize kar sakte hain ye saari jaankari mil jayegi.

Agar aap Google Ranking Signals ke bare mein vistar se janana chahte hain, toh humne Google ke dwara share kiye gaye 19 Google Ranking Signals ke bare mein alag-alag articles mein vistar se samjhaya hai. Toh agar aap apni SEO campaign ko majboot banana chahte hain, toh aapko in saare Ranking Signals ko padhna chahiye.

Part	Google Ranking Signal
1	Google BERT
2	Crisis Information Systems
3	Deduplication Systems
4	Exact Match Domain Systems
5	Freshness Systems
6	Helpful Content System
7	Link Analysis & PageRank
8	Local News Systems
9	MUM
10	Neural Matching System
11	Original Content Systems
12	Removal-Based Demotion Systems
13	Page Experience System
14	Passage Ranking System
15	Product Review System
16	RankBrain
17	Reliable Information, Site Diversity, Spam Systems
18	Expired Factors

Aaj hum Link Analysis systems aur Page Rank Algorithm se judi sawaalon par baat karenge aur dekhnge ki ye kya hai aur kaise kaam karte hain. Link Analysis systems aur Page Rank Algorithm dono hi bahut dilchasp topics hain.

Link Analysis Systems And Page Rank Algorithm

Link Analysis Systems and Page Rank Algorithm Google ke sabse zaruri ranking signals mein se hain.

Link analysis systems ye dekhte hain ki pages ek dusre se kaise linked hain, aur isse pata lagate hain ki koi page kitni important aur authoritative hai.

PageRank ek khaas tarah ka link analysis system hai jo Google ne develop kiya tha aur aaj bhi istemaal hota hai.

PageRank pages ko ek numerical score deta hai, jisme dekha jata hai ki uss page pe kitne aur kaisi quality ke links point kar rahe hain. Agar bahut saare pages jo khud high PageRank score rakhte hain kisi page ko point kar rahe hon toh uss page ka bhi PageRank high hoga. Is ka matlab ye hai ki high PageRank wale pages ko Google search results mein upar dikhane ki zyada possibility hoti hai.

Link analysis aur PageRank sirf do factors hain jinhe Google pages ko rank karne ke liye use karta hai. Aur bhi factors hote hain jaise page ka content, keywords jo istemaal hue hain, aur user ka location. Lekin fir bhi, link analysis aur PageRank bohot zaruri signals hain, aur inse page ke ranking pe kafi asar padta hai.

Link Analysis Systems And Page Rank Algorithm ki History

Internet ke shuru ke din mein, Archie, Jughead aur Aliweb jaise search engines bass keyword matching aur term frequency par depend karte the pages ko rank karne ke liye. Isse unhe keyword stuffing aur manipulation karne mein bohot aasan ho gaya tha.

1998 mein, Google ke founders Larry Page aur Sergey Brin ne Stanford mein PhD karate hue apna PageRank algorithm publish kiya.

PageRank ne web ki link structure ko analyse kiya taaki ye pata lagaya ja sake ki kisi page ki ahmiyat kya hai uspe link karne wale pages ke hisab se. Isse ranking manipulate karna mushkil ho gaya.

PageRank ka naam Larry Page ke naam par rakha gaya aur isme web page ki status ya rank bhi dikhaya gaya linking ke hisab se.

1998 mein launch hote hue PageRank ne Google ko pehle ke search engines se jyada accurate aur manipulate hone se door rakhne mein madad ki.

Google ne PageRank scores ko secret rakha aur time ke saath aur bhi signals add kiye. Lekin inbound links ek important ranking factor bane rahe.

PageRank ki aage ki iterations mein links ki quality pe jyada dhyan diya gaya quantity se, jaise trust metrics aur anchor text patterns ko analyse karke.

Saalon ke saath Google ne aur advanced link analysis systems develop kiye PageRank ke dependence ko kam karate hue.

Aajkal, PageRank ko public use ya update ke liye calculate nahi kiya jaata. Lekin isne modern link analysis ke raaste khule aur Google ke liye website authority decide karne mein abhi bhi influential hai.

Ab machine learning ke saath aur bhi factors ko analyse karke link signals ko dekha jata hai relevance aur ranking ke liye. Lekin trustworthy sites se inbound links abhi bhi ek key Google ranking signal hai.

Link Analysis System

Bhai, pehle ke search engines mein page ki importance samajhne ki samasya ko Link Analysis System ne solve kiya.

Google se pehle bhi, 1996 mein Robin Li Yanhong ne Randex naam ka algorithm create kiya tha jo ye dekhta tha ki kitni pages kisi ek page ko link kar rahi hai aur is hisab se uski ranking decide karta tha.

Yeh Randex algorithm duniya ka pehla aisa algorithm tha jisne websites ko unpe aane wale links ko analyse karke rank kiya.

Ise Link Analysis System ka naam diya gaya.

Page Rank Algorithm

Randex ke baad, Google ke co-founder Larry Page ne apna Page Rank algorithm banaya, jisne is link analysis system ko aur aage le gaya. Page Rank links ko analyse karta hai.

Page Rank Algorithm yeh decide karta hai ki ek page se dusri page pe kitna ranking score ya Page Rank score jayega.

Larry Page kehte the ki sirf links ki quantity ke hisab se rank karna sahi nahi hai kyunki links ko bhi manipulate kiya ja sakta hai jaise baki signals ko, aur kitne bhi links banaye ja sakte hain.

Larry Page ke Page Rank algorithm ka idea yeh tha ki wo ek page ko milti hui links ko measure karega saath hi us links ko milne wali links bhi measure karega, aur pure internet pe kisi bhi page ko milti links ke hisab se rank decide karega.

Aur fir jin pages ko wo link de raha hai unki bhi rank isi hisab se decide ki ja sakti hai, taaki koi bhi page ki rank uski quality ke hisab se ho, quantity ke hisab se nahi.

Page Rank Algorithm ki inspiration Randex algorithm se mili, lekin Page Rank usse better tha. Isi wajah se Google Page Rank par banke duniya ka sabse powerful search engine bana.

Lekin aisa nahi hai ki Page Rank pehla algorithm tha jisne links analyse kiye, Page Rank se pehle ek aur algorithm bhi tha jisme links dekhe jaate the aur wo aaj bhi hai.

Lekin Robin Li Yanhong ka Randex khatam nahi hua. Yeh China se the aur unhone China mein Baidu search engine banaya jo aaj bhi kaam karta hai.

Baidu ko Google se pehle banaya gaya tha aur link analysis ki concept ko duniya mein Baidu ne hi laya, lekin Google ne is concept ko better tareeke se implement kiya isliye aaj itna popular hai.

Ab Page Rank aur Link Analysis ke baare mein bohot history hai, ab dekhte hain abhi ke concepts.

Jaise humne bataya Page Rank algorithm Link Analysis System se alag hai.

Is algorithm ko improve karne ke liye Google ek aur model istemaal karta hai, jiska naam hai Random Surfer Model.

Chalo janete hain yeh kya hota hai aur kaise kaam karta hai.

Random Surfer Model kya hai aur kaise kaam karta hai

Pehle, jab Google Page Rank Algorithm ke through kisi page ko ranking score ya Page Rank score deta tha, tab uske liye us page ki sabhi inbound aur outbound links ko analyse karna padta tha. Aur unhe Page Rank score dena padta tha, fir hi wo page ko rank kar sakta tha. Is pure process mein, Google ko kisi ek page ki rank decide karne ke liye pehle kayi aur pages ki rank decide karni padti thi. Jo ek time consuming process thi.

Is samasya ko khatam karne ke liye, Google ne ek nayi model – Random Surfer Model invent kiya.

Random Surfer Model

Random surfer model randomly har page ko visit karta hai ek jaise niche ke websites ke bunch mein se, aur fir us page ki randomly koi outbound link chunta hai, aur us page par chala jata hai. Fir wo randomly sari pages visit karta hai jinhe wo page link kar raha hai. Yeh process aise hi chalta rahta hai, aur jitni baar Random Surfer Model koi page visit karega, utna score us page ko dega.

Isliye, jitni jyada pages kisi page ko link kar rahi hon, Random Surfer Model utni baar us page par aane ki chances bad jaati hain, aur har baar jab wo page visit karega to ranking score badhega.

Isliye, agar aap Random Surfer Model ke through apna ranking score badhana chahte ho, to aapko apne niche ke relevant websites se links lene chahiye jo ek dusre se connected ho. Kyunki is se Random Surfer Model aapke page par jyada baar aayega jo aapka ranking score aur rank badhaega Google pe.

Lekin is model mein bhi ek samasya hai, wo yeh ki yeh ek hi websites ke cluster mein ghoomta rehta hai.

Jaise, agar kuch websites hain jo same topic par hain aur ek dusre ko link kar rahe hain, ek group bana rakha hai. Aur inke alawa kuch aur websites bhi hain same topic par jo inme se kisi ko bhi link nahi kar rahi. Ab agar Google in dono groups ke websites ko isi Random Surfer Model ke basis par rank karega to galat hoga, kyunki in dono ke beech relevance nahi nikal payega, isliye sahi ranking score nahi de payega.

Isliye Google ne yahan ek nayi concept adopt ki – jo hume Damping Factor kehte hain.

Damping Factor

Damping Factor ek percentage value hota hai, jo Random Surfer Model ko kisi ek group se dusre group ki websites par jaane deta hai bina kisi link ke. Taaki Google ka Random Surfer Model kisi ek website cluster mein hi limit na ho.

Yeh damping factor Google ko uski damping value ke through kisi ek group mein hi na rehne deta hai, aur age badhke aur websites bhi explore kare.

Aap dekh sakte hain Google ke is Page Rank Algorithm mein do cheezein sabse jyada important hain:

• Random Surfer Model
• Damping Factor

Time ke saath Google ne Page Rank ke alawa aur bhi factors include kar liye apne ranking signals mein. Lekin Page Rank Algorithm woh core algorithm hai jiske basis par Google pehle websites ko rank karta tha aur abhi bhi karta hai. Isliye SEO mein quality backlinks ki abhi bhi ahmiyat hai. Jitni jyada pages kisi page ko link karegi utna hi jyada chances hain Random Surfer use visit karega aur rank badhe.

Ab sawaal yeh aata hai ki aap kaise is pure process ka apni website ke liye use kar sakte ho.

Link analysis systems aur PageRank ka use karne ke fayde hain:

• Ye aapki website ki search results mein visibility badha sakte hain.
• Ye aapki website par aane wale traffic ko badha sakte hain.
• Ye aapki website ki credibility ko improve kar sakte hain.

Agar aap Google search results mein apni website ki ranking improve karna chahte ho to aapko high-quality links build karna chahiye apni website ke liye. Aap guest blogging kar sakte ho, online forums mein participate kar sakte ho, aur apni website ko directories mein submit kar sakte ho. Aapko yeh bhi sure hona chahiye ki aapki website ka content high-quality aur aapki target audience ke liye relevant ho.

Aapki website ke liye high-quality links build karne ke kuch tips:

• High-quality websites target karo jo high PageRank scores rakhte ho.
• Aise links build karo jo aapki website ke content se relevant ho.
• Organic aur natural links build karo.
• Spammy ya low-quality websites se links build karne se bacho.

In tips ko follow karke aap Google search results mein apni website ki ranking improve kar sakte ho aur apni website par jyada traffic attract kar sakte ho.