Jobhopping_Prediction.md

Jobhopping Prediction

Introduction

JobHopping is a class which is used to predict where a scholar may hop to.

Method

predict

predict(name_squence, ntop=3)

Introduction

Get a scholar's possible future affiliation according to a list(squence) of affiliation's name where he had worked.

Parameters

name_squence

a list of the scholar's institution he had worded

ntop

How many possible affiliations will the method return.

Return value

A list of dictionaries

 {
     'name': the most likely future affiliation's name
     'p': the probability
 }

An example

j = JobHopping()
aff = j.predict(['tsinghua university','mazandaran university','birsa agricultural university'])

aff:

[
    {
        'name': 'university of michigan',
        'p': 0.33
    }, 
    {
        'name': 'university of cambridge',
        'p': 0.33
    }, 
    {
        'name': 'university of california berkeley',
        'p': 0.33
    }
]

API

https://innovaapi.aminer.cn/tools/v1/predict/career

An online version of method predict

Parameters

per_name

The scholar's name

org_name

The scholar's affiliation name

Return value

In the Response object, there will be three fields.

status

0: Success

1: There are some errors.

message

success: Success

If there are some errors, you will get the error infomation.

data

The return value from the method.

An example

https://innovaapi.aminer.cn/tools/v1/predict/career?per_name=XXX&org_name=XXX

Return Value:

{
    "status": 0,
    "message": "success",
    "data": [
        {
            "name": "university of michigan",
            "p": 0.33
        },
        {
            "name": "university of california berkeley",
            "p": 0.33
        },
        {
            "name": "stanford university",
            "p": 0.33
        }
    ]
}