DyNet SE

Try it!

For a more comprehensive understanding of DyNet SE, ATA offers a 15 day FREE trial. To get a free trial download the software here.

Why DyNet SE?

Today flow of data and data made available in the internet or generated by experiments or commercial interactions is growing at exponential rate. Managers, researchers and professionals are finding it very difficult to track and “make sense” of all the information vital for their work, professions and relations. Moreover the heterogeneity and dimension of data require very expert hands to extract evident relations while loosing all fine and precious intelligence so much needed for building competitive advantage or streamlining processes and business.

DyNet SE has been developed in order to answer to all these specific issues and to allow users to apply sophisticated topological analysis tools to gather foresight and full understanding of the submitted data.

What can you do with DyNet SE?

• Identify KOL (Key Opinion Leaders), stakeholders and their connection, embeddedness and influence
• Competitive analysis
• Dynamic analysis of alliances and partnerships
• Analysis of anomalous networks and network distortion: credit card or insurance fraud, etc
• Valuation of intangible assets through topological parameter values
• Organisational analysis (HR, supply chain, communications) and bottlenecks
• Emergence of Communities of Practice or company practices
• Analysis of post merger efficacy
• Analysis of social networks
• Analysis of Terrorist or criminal networks
• Analyse Bio-data or chemical data (HTS, QSAR, microarray, etc)

Topological parameters to assess and analyse networks in DyNet

Data is analysed for identification of central vertices that are dominant within the graph or for vertices that are strongly embedded within a given network or for vertices that share high capacity in spreading knowledge, flow of information or represent a KOL in the loaded set of data or represent a crucial junction within clusters.

These analysis can be performed via the following topological parameters: Centrality, Weighted centrality, Betweenness, Clustering Coefficient, Core, Relative Intensity, in/out degree, Minimum spanning Tree, Shortest Path (for a more exhaustive information please refer to the technical manual available on the software subsection).

DyNet SE allows for the identification of neighbouring vertices and to perform a detailed comparison among two different networks. The comparison will identifyand highlight,adding a separate column in PANEL-4, vertices/nodes that are common or missing in the analysed networks. (For more information on Dynet's front-end panel division please read the PDF at the end of the page)

Clustering, grouping and layout

DyNet SE adopts several Layout algorithms that are used for layout/clustering: Fast Organic, Spring Embedder, ISOM, Circle and Dynamic (DyNet dynamic layout algorithm for vertex date data. More information is made available in the PDF presentation at the end of this page)

DyNet SE allows users to colour or group vertices/nodes according to their clustering destination and local densities.

These options are very handy when wanting to simplify a complex graph and to highlight and prioritise parts of the graph. DyNet SE has been complemented with graphical editing options allowing labelling, editing of text boxes, colouring, changing of node shapes and colours, highlight options and many more.

Graphs and its data/attributes can be exported in txt format or PNG, VRML and SVG.

Import facilities

DyNet SE has been designed to allow the import of data and networks in pajek format,TXT and XML. Edge data and vertex/node attributes can be added and exported or stored in archives for it to be used in other applications. Users can add imported data to existing archives previously generated in DyNet to update datasets or integrate data with more attributes.

Performances

How does DyNet compare to other social network software? ATA has analysed single performances for two major social network applications commonly used by experts, for a full review please read the following comparison