英国365bet官方

Login to your profile!



No account? sign up!

SC-GT     (Biological Networks)

Download network data

This network dataset is in the category of Biological Networks







Visualize bio-SC-GT's link structure and discover valuable insights using the interactive network data visualization and analytics platform. Compare with hundreds of other network data sets across many different categories and domains.

Metadata

CategorySparse Networks
CollectionBiological Networks
Tags
SourceWormNet; see
ShortGene functional associations
Vertex typeGenes
Edge typeLines
FormatUndirected
Edge weightsWeighted
DescriptionWormNet: a network by integration of all data-type-specific networks (CE-CX, CE-GN, CE-GT, CE-HT, CE-LC, CE-PG, DM-CX, DM-HT, DM-LC, DR-CX, HS-CX, HS-HT, HS-LC, SC-CC, SC-CX, SC-HT, SC-LC, SC-TS) by modified Bayesian integration.

Please cite the following if you use the data:

@inproceedings{nr,
     title={The Network Data Repository with Interactive Graph Analytics and Visualization},
     author={Ryan A. Rossi and Nesreen K. Ahmed},
     booktitle={AAAI},
     url={http://garlandal.com},
     year={2015}
}

Note that if you transform/preprocess the data, please consider sharing the data by uploading it along with the details on the transformation and reference to any published materials using it.

@article{cho2014wormnet,
     title={WormNet v3: a network-assisted hypothesis-generating server for Caenorhabditis elegans},
     author={Cho, Ara and Shin, Junha and Hwang, Sohyun and Kim, Chanyoung and Shim, Hongseok and Kim, Hyojin and Kim, Hanhae and Lee, Insuk},
     journal={Nucleic acids research},
     volume={42},
     number={W1},
     pages={W76--W82},
     year={2014},
     publisher={Oxford University Press}
}

Network Data Statistics

Nodes1.7K
Edges34K
Density0.0230973
Maximum degree549
Minimum degree1
Average degree39
0.0632486
Number of triangles1.1M
Average number of triangles645
Maximum number of triangles7.8K
Average clustering coefficient0.347454
Fraction of closed triangles0.34784
Maximum k-core61
Lower bound of Maximum Clique39

Network Data Preview

Interactive visualization of bio-SC-GT's graph structure

Interactively explore the networks graph structure!

  • Use mouse wheel to zoom in/out
  • Mouseover nodes to see their degree
  • Drag network to see more details

Loading...

Interactive Visualization of Node-level Properties and Statistics

Tools for Interactive Exploration of Node-level Statistics

Visualize and interactively explore bio-SC-GT and its important node-level statistics!

  • Each point represents a node (vertex) in the graph.
  • A subset of interesting nodes may be selected and their properties may be visualized across all node-level statistics. To select a subset of nodes, hold down the left mouse button while dragging the mouse in any direction until the nodes of interest are highlighted.This feature allows users to explore and analyze various subsets of nodes and their important interesting statistics and properties to gain insights into the graph data
  • Zoom in/out on the visualization you created at any point by using the buttons below on the left.
  • Once a subset of interesting nodes are selected, the user may further analyze by selecting and drilling down on any of the interesting properties using the left menu below.
  • We also have tools for interactively visualizing, comparing, and exploring the graph-level properties and statistics.
Note: You are not logged in!
Please login or join the community to leverage the many other tools and features available in our interactive graph analytics platform.

Interactive Visualization of Node-level Feature Distributions

Node-level Feature Distributions

degree distribution

Loading...

degree CDF

Loading...

degree CCDF

Loading...

kcore distribution

Loading...

kcore CDF

Loading...

kcore CCDF

Loading...

triangle distribution

Loading...

triangle CDF

Loading...

triangle CCDF

Loading...

英国365bet官方 All visualizations and analytics are interactive and flexible for exploratory analysis and data mining in real-time and include the following features:

  • Degree, k-core, triangles, and triangle-core distributions. We include plots for each of the fundamental graph features and counts of the number with a particular property (i.e., number of nodes that form k triangles or have degree k, etc.)
  • We also include the CDF and CCDF distributions for each graph in the collection.
  • All visualizations and plots are zoomable. One may zoom-in or out on the data visualization using scrolling.
  • Panning. Users may also click anywhere on the plot and move the mouse in any direction to pan.
  • Adjust scale and other application dependent-parameters. All interactive visualizations may adjust the scale which is particularly important in certain types of graph data that contain highly skewed graph properties (power-lawed graphs and/or networks) such as degree distribution.

Discuss and Share

Collaborate and contribute to the first interactive and community-oriented data repository!

英国365bet官方Share key insights, awesome visualizations, or simply discuss advantages of data, any observed or known properties, challenges, problems, corrections, and any other helpful comments! Post and discuss recent published works that utilize this dataset (including your own). Any and all feedback is welcome and encouraged.