CentiServer

The Centiserver on OMICTools

Step 1: Specify network

Select file:

Supported formats: Edge list(.txt), Pajek(.net), UCINET(.dl), GML(.gml), GraphML(.graphml)

or
Sample network:

Network features:

Undirected Directed

UnweightedWeighted

Remove multiple edges Remove loops

Step 2: Specify centrality indices

Require undirected and connected network.

Require strongly connected and loop free network.

Require connected and strongly connected network.

Require directed and loop free network.

Require connected and strongly connected network.

Require connected and loop free network.

Require loop free network.

Require strongly connected network.

Require undirected and loop free network.

Require undirected network.

Require directed network.

Require directed and weigthed network.

Require strongly connected network.

Require directed network.

Require strongly connected network.

Require undirected, connected and loop free network.

No option.

Alpha: (0-1)
Remove loops: Yes No

Vertex Edge
Normalized: Yes No
Estimate: No Yes (Cutoff: The maximum path length (0 for no limit.))
Nobigint: Yes No (If Yes, then big integers are not used.)

Mode (Directed graphs): All In Out
Normalized: Yes No
Estimate: No Yes (Cutoff: The maximum path length (0 for no limit.))

Mode (Directed graphs): All In Out
Normalized: Yes No

Mode (Directed graphs): All In Out

Mode (Directed graphs): All In Out
Count loops: Yes No
Normalized: Yes No

Mode (Directed graphs): All In Out

Consider direction of the edges: Yes No
Scale the result to have a maximum score of one: Yes No

Mode (Directed graphs): All In Out

Hub scoreAuthority score
Scale the result to have a maximum score of one: Yes No

Mode (Directed graphs): All In Out
Count loops: Yes No

Remove loops: Yes No

Consider direction of the edges: Yes No
Damping: (0-1)

Mode: Unnormalized (raw) Normalized Koschutzki
Scale the result to have a maximum score of one: Yes No

Scale the result to have a maximum score of one: Yes No
Remove loops: Yes No
Ignore edge values: Yes No

Rule to symmetrizing: Weak Strong Upper Lower
Scale the result to have a maximum score of one: Yes No
Remove loops: Yes No

Scale the result to have a maximum score of one: Yes No
Remove loops: Yes No
Ignore edge values: Yes No
Type of load centrality: Directed Undirected

Scale the result to have a maximum score of one: Yes No
Remove loops: Yes No
Ignore edge values: Yes No
Type of betweenness centrality: Directed Undirected

Scale the result to have a maximum score of one: Yes No
Remove loops: Yes No
Exponent (Beta as decay rate):

Hub scoreAuthority score

Propagation probability (λ): Mode (Directed graphs): All In Out Remove loops: Yes No

Alpha: (0.0-0.2)

Normalized: Yes No

Weight factor:

K:
Mode (Directed graphs): All In Out

Decay parameter: (0-1)
Mode (Directed graphs): All In Out

Mode (Directed graphs): All In (Integration centrality) Out

Mode (Directed graphs): All In Out

Hub scoreAuthority score

Mode (Directed graphs): All In Out Remove loops: Yes No

Mode (Directed graphs): All In Out

Description (optional)

Enter sum of

and

persianstat(10215502, 0);

Create new job: