Dmitry Paranyushkin
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Articles
Recent activity by Dmitry Paranyushkin-
Identifying Content Gaps in a Discourse
Content gaps are the parts of the discourse that could be connected but are not (yet). Making connections between those parts will generate insight and potentially interesting ideas. The rationale ...
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How to Import a CSV / Excel Spreadsheet Data
Text network analysis can be used to analyze your spreadsheet / CSV / Excel data. It could be useful for analyzing open survey answers — in that case you'd need just one column of data and InfraNod...
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Open or Find an Existing Graph
Click or tap the top left menu or the List Your Existing Graphs button: The text graphs are listed in the most recent order. Another way is to click see all graphs link in the left menu. Yo...
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Export your Graphs, Text Data and Analytics Results
By default all the data you enter into InfraNodus is private. This means it is only accessible if you log in using your credentials and it cannot be viewed by anyone else. There are several ways to...
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🎥 Text Mining and Topic Modeling with Network Analysis and Visualization
InfraNodus can represent the text as a network and use powerful graph analysis algorithms to identify and visualize the main keywords, topics, and their relations. Online Tutorial (4 minutes): ...
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Structural Gaps as the Source of Ideas
Structural gap indicate the part of the network between the two or several distinct communities that are not connected. Structural gaps (also called structural holes) are known to play an important...
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Modularity Measure and Community Detection Algorithms
In the context of network science community detection is an important aspect of analysis. Most of the approaches are iterative: they scan the network to see which nodes tend to be more densely con...
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How to Read and Interpret Text Network Graphs
Text network visualization is a powerful tool for analyzing textual data, identifying the main keywords and topics within a document or a corpus of documents. It also provides a range of tools from...
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Betweenness Centrality: Topical Brokers
InfraNodus uses the measure of betweenness centrality to range the nodes in a text network by their contextual importance. In the context of graph theory and network science, betweenness centrality...
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Revealing the Non-Obvious: Graph Exploration Workflow
Suppose you visualized a discourse, you have a good overview of what it's about, and now you want to dig deeper into the analysis and find out the parts that may be not so evident, but still releva...