<｜begin▁of▁sentence｜>### Instruction:
As a neuroscience researcher, you may be interested in analyzing the structure and connectivity of neural networks using advanced tools and visualizations. For example, imagine you have been given access to a proprietary streaming API provided by a neuroscience data visualization platform called 'NeuroVis', which is hosted at 'http://localhost:8080/workspace1'. You want to iterate over the JSON objects representing a neural network graph and print out the relevant data using the NeuroVisStreamer's iterjsonobj method to gain insights into the network's properties and organization.
### Response:
from gephistreamer import GephiGraphStreamer

# Initialize a streamer that will interface with Gephi
streamer = GephiGraphStreamer.GephiGraphStreamer(url='http://localhost:8080/workspace1')

# Iterate over the JSON objects that build up the graph
for json_obj in streamer.iterjsonobj():
    print(json.dumps(json_obj))
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