Making Sense of Graph Query Results: Interactive Summarization and Exploration
نویسندگان
چکیده
Large data-rich network datasets are ubiquitous. Increasing research and development in graph databases offers analysts the ability to query large networks for interesting patterns. Graph querying allows analysts to quickly find matches for desired subgraphs from a large network (e.g., a clique of suspiciously communicating machines on a company intranet). Many of these systems do not support the exploration of results and leave the analyst with ineffective visualizations like tables and lists. We present our work in progress, VIGOR, an interactive visual system for summarizing and investigating large numbers of graph querying results.
منابع مشابه
A Web-based Interactive Visual Graph Analytics Platform
This paper proposes a web-based visual graph analytics platform for interactive graph mining, visualization, and real-time exploration of networks. GRAPHVIS is fast, intuitive, and flexible, combining interactive visualizations with analytic techniques to reveal important patterns and insights for sense making, reasoning, and decision making. Networks can be visualized and explored within secon...
متن کاملGraph Hybrid Summarization
One solution to process and analysis of massive graphs is summarization. Generating a high quality summary is the main challenge of graph summarization. In the aims of generating a summary with a better quality for a given attributed graph, both structural and attribute similarities must be considered. There are two measures named density and entropy to evaluate the quality of structural and at...
متن کاملGraphVista: Interactive Exploration Of Large Graphs
The potential to gain business insights from graph-structured data through graph analytics is increasingly attracting companies from a variety of industries, ranging from web companies to traditional enterprise businesses. To analyze a graph, a user often executes isolated graph queries using a dedicated interface—a procedural graph programming interface or a declarative graph query language. T...
متن کاملSupervised graph summarization for structuring academic search results
In this paper we address the problem of visualizing the query results of the academic search services. We suggest representing the search results as concise topic hierarchies, and propose a method of building such hierarchies through summarization of the intermediate large topic graphs. We describe a supervised learning technique for summarizing the topic graphs in the most informative way usin...
متن کاملExploring and Making Sense of Large Graphs
Graphs naturally represent information ranging from links between webpages, to friendships in social networks, to connections between neurons in our brains. These graphs often span billions of nodes and interactions between them. Within this deluge of interconnected data, how can we find the most important structures and summarize them? How can we efficiently visualize them? How can we detect a...
متن کامل