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Social Network Analysis
LinkedIn Network
Anastasios Theodosiou - Marinos Zagkotsis - Georgios Tzinos
Outline
● Objective
● Dataset Overview
● Methods Used
● 5 step Process
● Questions
● Live
Objective
The purpose of this work is to highlight and analyze a social network from data we
have collected on our own. The network we decided to deal with is the LinkedIn.
LinkedIn is a professional social network that is often used by not only from job
seekers. While the above mentioned network contains a large amount of useful
information, it would be useful to apply social network analysis techniques to
extract knowledge.
Dataset
Consists of 2 separate files types:
● Nodes.csv
● Edges.csv
First NameLast Name
Industry
Headline
Country
Pic. Url
Profile Url
Our Data Structure
follows
TargetSource
edges.csv
Skills
Companies
Position
nodes.csv
What we used
● Python Scrapping / Selenium
● LinkedIn v1 API
● Angular 5
● Material Design
● Gephi
● A lot of Patience
Step 1
User Login with
LinkedIn Credentials
Step 2
GetConnections
and save as csv
nodes and edges files
for Gephi
Step 3
Scrap for the
additional user content
Step 4
Create graphs using
Gephi
Step 5
Analyze and get
results
Any Questions?

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Linked in social network analysis

  • 1. Social Network Analysis LinkedIn Network Anastasios Theodosiou - Marinos Zagkotsis - Georgios Tzinos
  • 2. Outline ● Objective ● Dataset Overview ● Methods Used ● 5 step Process ● Questions ● Live
  • 3. Objective The purpose of this work is to highlight and analyze a social network from data we have collected on our own. The network we decided to deal with is the LinkedIn. LinkedIn is a professional social network that is often used by not only from job seekers. While the above mentioned network contains a large amount of useful information, it would be useful to apply social network analysis techniques to extract knowledge.
  • 4. Dataset Consists of 2 separate files types: ● Nodes.csv ● Edges.csv
  • 5. First NameLast Name Industry Headline Country Pic. Url Profile Url Our Data Structure follows TargetSource edges.csv Skills Companies Position nodes.csv
  • 6. What we used ● Python Scrapping / Selenium ● LinkedIn v1 API ● Angular 5 ● Material Design ● Gephi ● A lot of Patience
  • 7. Step 1 User Login with LinkedIn Credentials Step 2 GetConnections and save as csv nodes and edges files for Gephi Step 3 Scrap for the additional user content Step 4 Create graphs using Gephi Step 5 Analyze and get results
  • 8.

Notas do Editor

  1. Το LinkedIn αποτελεί ένα κοινωνικό δίκτυο εύρεσης εργασίας που χρησιμοποιείται κατά κόρων από άτομα που αναζητούν εργασία. Επιπλέον εξαιτίας της αυξανόμενης ροής των νέων προς τις χώρες του εξωτερικού προς αναζήτηση εργασίας σκεφτήκαμε ότι θα θέλαμε να βγάλουμε γνώση μέσα από τα προσωπικά μας δίκτυα και μέσω αυτής να απαντήσουμε σε ερωτήματα που θέσαμε.