Dataset Dataset Nodes 1 csv1 000 nodes Edges

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Dataset • Dataset – Nodes 1. csv（1, 000 nodes） – Edges 1. csv（14, 116

Dataset • Dataset – Nodes 1. csv（1, 000 nodes） – Edges 1. csv（14, 116 edges） Dataset source：http: //www. martingrandjean. ch/gephi-introduction/

CSV Open CSV File

CSV Open CSV File

Nodes 1. csv

Nodes 1. csv

Edges 1. csv

Edges 1. csv

Data input • Import Spreadsheet – Nodes – Edges

Data input • Import Spreadsheet – Nodes – Edges

Import spreadsheet → Nodes

Import spreadsheet → Nodes

Nodes • Id • Label Nodes attribute

Nodes • Id • Label Nodes attribute

Import spreadsheet → Edges

Import spreadsheet → Edges

Edges Source Undirected Directed Target

Edges Source Undirected Directed Target

Add node Nodes 1. csv（1, 000 nodes）

Add node Nodes 1. csv（1, 000 nodes）

Typing nodes attribute: Attribute 1, City, Latitude, Longitude

Typing nodes attribute: Attribute 1, City, Latitude, Longitude

Add edge

Add edge

Undirected Directed Source node Target node name 1001

Undirected Directed Source node Target node name 1001

Add column

Add column

Delete column

Delete column

Attribute 4欄位 已刪除

Attribute 4欄位 已刪除

Clear column

Clear column

attribute 2欄位 已清除

attribute 2欄位 已清除

Copy data to other column

Copy data to other column

Fill column with a value

Fill column with a value

Duplicate column

Duplicate column

Two mode-one mode with Gephi • Data source – Node list 2 – Edge

Two mode-one mode with Gephi • Data source – Node list 2 – Edge list 2

Two mode transformation with Gephi

Two mode transformation with Gephi

Two mode transformation with Gephi

Two mode transformation with Gephi

Members vs. institutes

Members vs. institutes

Two mode transformation with Gephi Save into a Gephi file before transformation

Two mode transformation with Gephi Save into a Gephi file before transformation

Two mode transformation with Gephi

Two mode transformation with Gephi

Two mode transformation with Gephi

Two mode transformation with Gephi

Two mode transformation with Gephi

Two mode transformation with Gephi

Other format

Other format

UCINET DL Format • https: //gephi. org/users/supported-graphformats/ucinet-dl-format/ • Edge list – Basic example –

UCINET DL Format • https: //gephi. org/users/supported-graphformats/ucinet-dl-format/ • Edge list – Basic example – Labels embedded – Edge weight

Basic example

Basic example

Labels embedded

Labels embedded

Edge weight

Edge weight

How much 1 000 000 000 000 00How much 1 000 000 000 000 00
600 000 500 000 400 000 300 000600 000 500 000 400 000 300 000
60 000 80 000 50 000 40 00060 000 80 000 50 000 40 000
130 000 120 000 110 000 100 000130 000 120 000 110 000 100 000
600 000 500 000 400 000 300 000600 000 500 000 400 000 300 000
1 000 500 000 250 000 125 0001 000 500 000 250 000 125 000
1 000 500 000 250 000 125 0001 000 500 000 250 000 125 000
100 000 150 000 6 000 600 000100 000 150 000 6 000 600 000
14 000 12 000 10 000 8 00014 000 12 000 10 000 8 000
000 000 100 100 200 000 000 100000 000 100 100 200 000 000 100
200 000 100 000 50 000 10 000200 000 100 000 50 000 10 000
1 000 500 000 250 000 125 0001 000 500 000 250 000 125 000
1 000 500 000 250 000 125 0001 000 500 000 250 000 125 000
250 000 200 000 150 000 100 000250 000 200 000 150 000 100 000
1 000 500 000 250 000 128 0001 000 500 000 250 000 128 000
1 000 900 000 800 000 700 0001 000 900 000 800 000 700 000
CSE 185 Introduction to Computer Vision Edges EdgesCSE 185 Introduction to Computer Vision Edges Edges
Edges Edge Detection Contour Segmentation Hough Transform EdgesEdges Edge Detection Contour Segmentation Hough Transform Edges
CSE 185 Introduction to Computer Vision Edges EdgesCSE 185 Introduction to Computer Vision Edges Edges
Edges Gradients and edges Points of sharp changeEdges Gradients and edges Points of sharp change
Superscalar processors Review Dependence graph Nodes instructions EdgesSuperscalar processors Review Dependence graph Nodes instructions Edges
Graphs Graph with 7 nodes and 16 edgesGraphs Graph with 7 nodes and 16 edges
Definitions Graph Collection of nodes and edges AdjacentDefinitions Graph Collection of nodes and edges Adjacent
Cleaning up the CFG Eliminating useless nodes edgesCleaning up the CFG Eliminating useless nodes edges