Features

Graph exploring is one of the key features of Graphlytic. Let's start with a fulltext search to add a few elements. Additional filtering conditions can be combined with the fulltext search to find exactly what you want.
You can expand the nodes by double-clicking or using the Expand option of the context menu. The advanced filtering options allow detailed filtering of the results before any data is loaded from the graph database. After adding the condition for node or relationship data, select which relationship groups you want to add to the visualization.
The layout options can be used to reposition the selected nodes in commonly used patterns like tree, grid, circular, or force-directed simulation. This is particularly helpful when the visualization becomes larger.
The selected graph part can be rotated by holding down the right mouse button and moving the mouse in the desired direction.
To hide some nodes, select them and click the hide button in the toolbox or use the hide option in the context menu.
Frequency charts in the statistics panel are a powerful way to select elements based on their data. Clicking on any property value will select or unselect all elements with that value. It also works the other way around; selecting part of the graph will select appropriate frequency chart parts.
The Detail tab shows detailed information stored on the selected node or relationship.
If you want to select elements based on their relationships, use the selection buttons. You can also choose the direction of selection propagation or implement your own selection logic as a custom widget.
Select two nodes in the visualization and click the shortest path button in the toolbox to search for connections between nodes. Filtering options can improve the algorithm's performance. The shortest paths are calculated in the database and presented in a preview window. After confirmation, new nodes and relationships are added to the visualization, and the chosen paths are selected.

With the selections buttons in the toolbox and statistics charts, it's really easy to select parts of the graph based on various conditions. Just select a starting point, click on the "select neighbors" button. Notice how the statistics charts automatically show the portion of selected elements across different properties. The selection buttons can be used repeatedly to add additional layers of connected nodes to the group of selected elements.
To select or unselect elements with a particular property, just click on the value in the property statistics chart. For example, to see all virtual servers managed by all virtual managers in our dataset, start with clicking on the virtual manager property in the chart, and then select all incoming nodes.
To check what types of relationships are connecting the servers and managers in this example, go to the relationship tab. To select or unselect relationships based on their properties just click on the values.
Selections can be used with multiple starting points, simply select some nodes and use one of the selection buttons.
Inverting the selection allows selecting even more complicated patterns.
Custom selection rules can be easily plugged into the visualization using our widgets. One of the widgets, called Outage Propagation, can be used to simulate how a potential outage might spread across a network. Configuration of the widget allows specifying how many underlying nodes have to be down in order to propagate the outage to parent nodes. In our example all three nodes have to be down to propagate the outage, depicting a redundancy in the infrastructure.

Quick import of graph elements from a CSV or Microsoft Excel file can be done on the Search page or directly in the visualization with the "Import file" button.
To import the file simply drag&drop it in the Import window. Select if you want to import nodes or relationships. Choose the Excel tab from which data will be imported (in case of a CSV file choose the column delimiter). Select if you want to use the names of properties from the file header. You can give your import an Import ID, this value will be stored on every imported element to allow easy lookup of the elements after the import is complete. Choose how the node labels will be created. Set the unique property, this will ensure that if there already are nodes with the same unique property in the database these nodes will be merged with the imported data instead of duplicating the nodes.
After a successful import, the next steps can be chosen, like creating a saved query for later lookup of the imported elements, visualizing the imported elements, or starting a new import with the same import ID.
Importing relationships is very similar to the additional step of matching the start and end node of the relationships using a unique identifier in your data.

Visualization can be exported as an image or a data file using the export menu. To export data in a format that can be opened in any spreadsheet editor like MS Excel, choose the CSV option from the Export menu.
Choose which properties should be exported and rearrange them to change the order of the columns in the exported CSV file.
Choose the sorting property to change the order of the rows in the exported file.
Exporting relationships is very similar to exporting nodes. It has the option to add properties from the nodes connected with the exported relationship.
If a part of the graph is selected then only elements from this part are included in the exported data file.
There is also a special sorting algorithm called "Detect path" that will find the longest path in the exported graph and the rows in the file will be sorted according to the path. All other elements will be placed after the path rows.

There are two types of properties you can use in graph visualization. The first are properties stored in Neo4j which we call Database properties. The other ones are Virtual properties which exist only in the scope of graph visualization and represent small JavaScript calculations used for searching for patterns or creating some sort of logic on top of data stored in the database.

• To create a Virtual property go to the Detail tab and click on "Add virtual property" > "Create new property". When you are on the detail of a node then you are creating a Virtual property for nodes and when you are on the detail of a relationship then you are creating a Virtual property for relationships.
• In the edit window create your JavaScript formula which returns some value. You can use the predefined templates for inspiration and test your formula with the "Test formula" button.
• Formulas defined in Virtual properties are calculated for every node in the graph visualization and the result is listed in the Detail tab.
• Virtual properties can be used in the Statistics tab for selecting or in Style mappers for styling the graph visualization.

When you need to search for a particular node or filter out a set of nodes based on their data you can use the Search tab in the graph visualization.

• Search directly in data using the search box. The search looks into properties defined on the Settings tab in the Title and Snippets controls.
• Use the Advanced filter to filter out nodes using multiple filtering criteria. There is a logical OR between values selected in one property and a logical AND between properties. This is helpful for filtering out nodes from the graph visualization based on categories of data. Please note that only properties defined in Data Schema with dataRole set to "dimension" are available in the Advanced filter.
• Use the Select or Unselect buttons to quickly add or remove currently filtered out nodes from/to selected nodes.
• Select or unselect nodes in the graph visualization by clicking on the icon of the node snippet in the list or look into details of a node by clicking on the node snippet itself.