Community Evolution (temporal_graph)

Function

The community evolution algorithm generates a temporal graph that shows structure changes of a community over time.

Figure 1 Principle

URL

POST /ges/v1.0/{project_id}/graphs/{graph_name}/dynamicgraphs/action?action_id=execute-analysis

Table 1 URI parameters
Parameter	Mandatory	Type	Description
project_id	Yes	String	Project ID. For details about how to obtain the project ID, see Obtaining a Project ID.
graph_name	Yes	String	Graph name

Request Parameters

Table 2 Request body parameters
Parameter	Mandatory	Type	Description
algorithmName	Yes	String	Algorithm name
dynamicRange	Yes	Object	Temporal parameters
parameters	Yes	String	Algorithm parameters

Table 3 dynamicRange parameters
Parameter	Mandatory	Type	Description
start	Yes	Date or integer	Start time of the temporal analysis. The start time must be earlier than the end time.
end	Yes	Date or integer	End time of the temporal analysis
time_props	Yes	Object	Time properties for the temporal analysis

Table 4 time_props parameters
Parameter	Mandatory	Type	Description
stime	Yes	String	Property name of the start time
etime	Yes	String	Property name of the end time

Table 5 parameters parameter description
Parameter	Mandatory	Type	Description
source	Yes	String	Vertices in the community network. You can specify a maximum of 100,000 vertices.

Response Parameters

Table 6 Parameters in a response
Parameter	Mandatory	Type	Description
errorMessage	No	String	System prompt. If execution succeeds, this parameter may be left blank. If execution fails, this parameter is used to display the error message.
errorCode	No	String	System prompt. If execution succeeds, this parameter may be left blank. If execution fails, this parameter is used to display the error code.
status	No	String	Returned job status for a successful query. Possible values are waiting, running, and complete. This parameter is left blank when the query fails.
data	No	Json	Algorithm execution result. This parameter is left blank when the query fails.

Example Request

Observe the community evolution of some nodes. The algorithm name is temporal_graph, the start time of dynamic analysis is ${startTime}, and the end time is ${endTime}.

POST  http://{SERVER_URL}/ges/v1.0/{project_id}/graphs/{graph_name}/dynamicgraphs/action?action_id=execute-analysis
{
  "algorithmName":"temporal_graph",
  "dynamicRange":{
    "start":"${startTime}",
    "end":"${endTime}",
    "time_props":{"stime":"${property(start_time)}","etime":"${property(start_time)}"}
  },
  "parameters":{
        "sources":[]
  }
}

Example Response

Status code: 200

Example response for a successful request

{
  "jobId": "f9987cab-64d3-4b3d-ac43-e91ae0c21bef168127124",
  "jobType": 0
}

Status code: 400

Example response for a failed request

{
"errorMessage":"${errorMessage}",
"errorCode":"GES.8301"
}

Status Code

Return Value	Description
400 Bad Request	Request error
401 Unauthorized	Authorization failed
403 Forbidden	No operation permissions
404 Not Found	No resources found
500 Internal Server Error	Internal server error
503 Service Unavailable	Service unavailable

Parent topic: Temporal Graph APIs

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Temporal Graph APIs

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Temporal BFS (temporal_bfs)

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