How can negative dimensions in Network Analysis with textnets be resolved as it throws a ValueError?

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Negative dimensions usually occur in Network Analysis with textnets when attempting to plot a layout of the network where the size of the nodes or edges is negative. This ValueError can be resolved by adjusting the parameters of the plot, such as the size of the nodes or edges, or by reducing the size or complexity of the network.

Another solution is to use a different layout algorithm that is better suited for the size and complexity of the network. For example, the Fruchterman-Reingold algorithm tends to work well for smaller networks, while the ForceAtlas2 algorithm is better for larger and more complex networks.

Additionally, it may help to preprocess the data and remove any outliers or erroneous data points that may be causing the negative dimensions. This can be done by cleaning the data or using statistical methods to identify and remove outliers.