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Titan: Distributed Graph Database
Titan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time. In addition, Titan provides the following features: Elastic and linear scalability for a growin
Dracula Graph Library
Dracula.js is a set of tools to display and layout interactive connected graphs and networks, along with various related algorithms from the field of graph theory. Just plain JavaScript and SVG. The code is released under the MIT license, so commercial use is totally fine. Creating a graph is simple! You also can customize anything easily. The code: var g = new Dracula.Graph(); g.addEdge("strawber
Gephi, オープンソースã®ã‚°ãƒ©ãƒ•å¯è¦–化・æ“作ソフトウェア
Gephi ãŒå†ã³ Google Summer of Code (GSoC 2011) ã«èªå®šã•ã‚Œã¾ã—ãŸï¼ Google Summer of Code ã¯ã€ä¸–ç•Œå„地ã®å¦ç”ŸãŒã‚ªãƒ¼ãƒ—ンソースプãƒã‚¸ã‚§ã‚¯ãƒˆã«è²¢çŒ®ã™ã‚‹ã“ã¨ãŒã§ãã‚‹ãŸã„ã¸ã‚“優れãŸãƒ—ãƒã‚°ãƒ©ãƒ ã§ã™ã€‚詳細ã¯ã“ã¡ã‚‰ » 応用例 探索的データ解æž: リアルタイムã§ã®ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯æ“作ã«ã‚ˆã‚‹ç›´æ„Ÿçš„分æžã€‚ リンク解æž: 特ã«ã‚¹ã‚±ãƒ¼ãƒ«ãƒ•ãƒªãƒ¼ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã«ãŠã‘るオブジェクト間関係ã®æ ¹æœ¬æ§‹é€ ã®æ˜Žç¢ºåŒ–。 ソーシャルãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯åˆ†æž: ã•ã¾ã–ã¾ãªã‚³ãƒŸãƒ¥ãƒ‹ãƒ†ã‚£çµ„織やスモールワールドãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã‚’マップ化ã§ãるソーシャルデータコãƒã‚¯ã‚¿ã‚’ç°¡å˜ã«ä½œæˆå¯èƒ½ã€‚ 生物å¦çš„ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯è§£æž: 生物å¦çš„データã®ãƒ‘ターンを表ç¾ã€‚ ãƒã‚¹ã‚¿ãƒ¼åˆ¶ä½œ: 高解åƒåº¦ã®å°åˆ·å¯èƒ½ã‚°ãƒ©ãƒ•ã§å¦è¡“ç ”ç©¶æˆæžœã‚’プãƒãƒ¢ãƒ¼ãƒˆã€‚ 詳細ã¯ã“ã¡ã‚‰ » å„種ã®ãƒ¡ãƒˆãƒªã‚¯ã‚¹ã‚’ç”¨æ„ ä¸å¿ƒæ€§ (Centrality): 社会
GitHub - aching/giraph: Mirror of Apache Giraph
Giraph : Large-scale graph processing on Hadoop Web and online social graphs have been rapidly growing in size and scale during the past decade. In 2008, Google estimated that the number of web pages reached over a trillion. Online social networking and email sites, including Yahoo!, Google, Microsoft, Facebook, LinkedIn, and Twitter, have hundreds of millions of users and are expected to grow muc
World Wide Webber - Graph Processing versus Graph Databases
There's recently been a great deal of discussion on the subject of graph processing. For those of us in the graph database space, this is an exciting development since it reinforces the utility of graphs as both a storage and a computational model. Confusingly however, processing graph-like data is often mistakenly conflated with graph databases because they share the same data model, yet each too
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昨今よã耳ã«ã™ã‚‹ã‚ーワード「ソーシャルグラフã€ã€‚ãã®å¯èƒ½æ€§ãƒ»æ´»ç”¨æ–¹æ³•ã«ã¤ã„ã¦æ§˜ã€…ãªä¼æ¥ã«æ³¨ç›®ã•ã‚Œã¦ã„ã¾ã™ã€‚今回ã¯ãã®ã€Œã‚½ãƒ¼ã‚·ãƒ£ãƒ«ã‚°ãƒ©ãƒ•ã€ã‚’「ã©ã†ã™ã‚Œã°ã‚¯ãƒ©ã‚¹ã‚¿ãƒªãƒ³ã‚°ã§ãã‚‹ã®ã‹ï¼Ÿã€ã¨ã„ã†è¦³ç‚¹ã§ã€ã‚°ãƒ©ãƒ•ã«å¯¾ã™ã‚‹ã‚¯ãƒ©ã‚¹ã‚¿ãƒªãƒ³ã‚°ã®åŸºç¤Žã‚’説明ã„ãŸã—ã¾ã™ã€‚ã¾ãŸã€å…·ä½“çš„ãªã‚¯ãƒ©ã‚¹ã‚¿ãƒªãƒ³ã‚°æ‰‹æ³•ã¨ã—㦠Newman アルゴリズムをã”紹介ã„ãŸã—ã¾ã™ã€‚
「GraphDB徹底入門ã€ã€œæ§‹é€ や仕組ã¿ç†è§£ã‹ã‚‰ä½¿ã„ã©ã“ã‚・種々ã®GraphDBã®æ¯”較ã¾ã§å¹…広ã〜
「GraphDB徹底入門ã€ã€œæ§‹é€ や仕組ã¿ç†è§£ã‹ã‚‰ä½¿ã„ã©ã“ã‚・種々ã®GraphDBã®æ¯”較ã¾ã§å¹…広ã〜AI-enhanced description The document discusses graph databases and their properties. Graph databases are structured to store graph-based data by using nodes and edges to represent entities and their relationships. They are well-suited for applications with complex relationships between entities that can be modeled as graphs, such as social networks.
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Weekly Algorithm: Property Graph Algorithms - DZone Java
OQGRAPH in Launchpad
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