Can you tell the user's country distribution through Facebook friend list?

When doing cross-border traffic, social analysis or international private domain operations, we often need to understand a certainFacebook usersNational Affiliation, especially when you have mastered the userWhen UID is unable to directly obtain its country field, someone proposed this idea:Can it passFacebook friend list, reversely determine the country distribution of users?This method seems"Indirect", but in fact, in big data and intelligent judgment mechanisms,Friends' social circle is indeed one of the important reference factors for determining national ownership. This article will analyze in detail how to use the friend list to analyze country distribution and the current mainstream automated identification methods.

 

Why"Country" is the most important field in Facebook data analysis?

When building user portraits,"Country" is one of the basic information. It not only represents the market where the user is located, but also directly determines the following key variables:

lLanguage usage habits

lCultural preferences and social content types

lTime zone and active time period

lCommercial payment ability and consumption behavior

Without country fields, you can't judge this batchWhether UID is a target market user will also seriously decline in marketing costs and accuracy. Therefore, even if many users cannot directly read national information from public information, they hope to reverse recognition through side features (such as friend list).

 

What clues does Facebook friend list contain?

AlthoughFacebook has gradually tightened its privacy display strategy, but through user interaction behavior or public friend lists, it is still possible to obtain the following information:

lFriend'sUID, avatar, nickname

lLanguage in friends' public information/Position/Interactive Dynamics

lInteraction time, language type, tag between users and friends

lThe group that users join, the homepage they like and the attributes of the people they follow

in other words,A user's social circle is a collection of clues about his country's ownership.. If a friend of a account95% are from Indonesia, and the interactive language is Indonesian, and the system will have a very high probability of determining that it is an Indonesian account.

 

How to judge user country through friend structure?

This technology is calledSocial Relationship Reverse Modeling, mainly including the following judgment logic:

1. Friend country distribution statistics

The system will give each user friendUID is used to identify the country (based on language, registration behavior, avatar, group, etc.), and then counts the most countries that appear. For example:

lSome of the users have friends80% are Spanish-speaking users, concentrated in Mexico and Argentina;

lRemaining20% are from the English-speaking areas, distributed in the Philippines and the United States;

lResults: The system marked it as a user in Latin America, and the country defaults to Mexico.

2. Friends interaction language analysis

Even if a friend does not fill in the country field, if most of the user's interaction behaviors (comments, likes, and forwards) are in a certain language, it can become the key basis for national recognition.

For example: A user's friend comments are almost all in Vietnamese, and the usage period is concentrated in the evening of Vietnamese time. It can basically be judged as a Vietnamese user.

3. Group and homepage to pay attention to analysis

If a user's friends almost all join a certain type of national group (such as Philippine shopping groups, Arabic second-hand market groups) or follow the local business homepage of a specific country, you can also infer the user's geographical attributes.

This method is suitable for situations where the original account information is missing but the friend information is rich.

 

Do all friends need to be visible to judge?

unnecessary. In fact,It is not necessary for every friend to display it. As long as there are certain level of interactive friends, common groups or like homepage information, the system can make national judgments through map association and language analysis.

This is one of the advantages of big data discrimination.Even if the sample size is incomplete, relatively accurate inference conclusions can be drawn from structural relationships.

 

Is there any ready-made system that can automatically complete such judgments?

Manual operation is undoubtedly inefficient, facing thousands ofUID or account data, more requiredA standardized and automated processing method.

On the Digital Planet Platform, you can realize country identification of friend lists in the following ways:

lUploadUID list, the platform automatically extracts the social circle structure of friends

lThe system uses a multi-dimensional model to identify the national attributes of each friend.

lSummary of the composition of the country in the social circle and output the most likely main country attribute label

lComes with eachUID's language preference, interaction mode, and friend source ratio

It can not only identify the country to which the account itself belongs, but also the country composition of its potential customer group——This is very practical for expanding the multilingual market, performing international community screening, and regular advertising investment.

 

Advantages of the National Identification Model of Digital Planet

In order to improve the recognition accuracy, the Digital Planet Platform uses a three-layer filtering structure:

1.Basic field analysis model: According to language, registrationIP and page preference identification country;

2.Relational circle statistical model: According to friendsThe national label of the UID group determines the account attributes in reverse;

3.Cross-validation mechanism: Recalibrate the national mark by re-calibrating the behaviors such as related groups, like homepage, and commenting on languages.

This multi-source identification method allows a certain account to pass even if it lacks clear information.The "relationship reverse reversal" method achieves accurate attribution.

 

There are benefits for registration. Recharge and bonus coins can be used to unlock more functions

Digital Planet is now open for registration, basic functions are open for free, and additional gold coins can be obtained in conjunction with data recharge:

ltop up588 gold coins are given away 30 gold coins

ltop up1088 gold coins are given away 60 gold coins

lThe more recharges, the more gifts you give, and you can directly deduct the data usage amount

Gold coins can be used to unlock the country identification module, advancedUID field extraction tool, batch upload task and other functions.

 

If you are collecting users in a certain country, but progress is slow because of incomplete information,

You might as well change the angle fromStarting from Facebook’s friend list, use social circle analysis to reverse lock national attributes.

Visit the digital planet and experience this efficient and practical user country identification system, allowing you to extract accurate data value from fragmented information.

 

Digital Planet It is a world-leading number screening platform that combinesGlobal mobile phone number segment selection, number generation, deduplication, comparison and other functions . It supports global customers Bulk numbers from 236 countries Filtering and testing services , currently supported More than 40 social and apps, such as:

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