Visualizing Connected Data: Why, When, and How Connected data often lends itself perfectly to visualization, but not all visualizations add value. In this talk, you will learn when to use visualization and how to maximize its benefits. Drawing on over 20 years of professional experience, Sebastian will illustrate the key moments when visualization is essential, the tools available for creating effective visualizations, and the reasons why these tools are invaluable for gaining insights into connected data. Through practical examples and expert insights, this talk will equip you with the knowledge to make your data visualizations truly impactful. youtube.com/watch?v=XTnUjtww… -- Sebastian Mueller. CTO at @yworks Sebastian has been working professionally in the field of graph visualization for over 20 years. He is a frequent speaker at graph-related conferences, consistently earning high ratings for his presentations at Neo4j's "NODES" conferences. -- Welcome to Connected Data London's #ThrowbackThursday Every Thursday at 3pm GMT, we are releasing gems from our vault on #YouTube Tune in and learn from leaders and innovators; subscribe to our channel and watch premieres as they are released! #knowledgegraph #graphdatabase #graph #AI #datascience #analytics #semtech #ontology

Visualizing Knowledge Graphs A comprehensive guide on how to transform data into meaningful insights. Knowledge graph visualization is the process of representing complex networks of interconnected information as visual diagrams where entities become nodes (circles, rectangles, or shapes) and relationships become edges (lines or arrows connecting nodes). This transforms abstract data into intuitive visual patterns that reveal connections, hierarchies, clusters, and insights that would be invisible in raw data. Effective knowledge graph visualization requires matching your data structure (trees, hierarchies, networks) with the right layout algorithm (hierarchic, organic, circular) and using visual encoding (color, size, shape) to communicate meaning instantly. Turning connected data into insight takes more than a visualization SDK — it requires a proven methodology.  Our long-time supporter yWorks has distilled an expert 5-step guide to knowledge graph visualization:  1) Define the right KG questions 2) Analyse your data 3) Choose optimal layouts 4) Style semantics, and  5) Enable interactive exploration Explore the 5-step guide that will show you how to create powerful knowledge graph visualizations.  Because great graph visualizations aren't just aesthetically pleasing, they're meaningful, useful, and they definitely should be able to answer specific questions about your data. #Visualization #DataModeling #Usability #UI #UX #NetworkScience #Algorithms yfiles.com/resources/how-to/… -- Connected Data London 2025 is coming! 20-21 November, Leonardo Royal Hotel London Tower Bridge Join community legends and new voices in #CDL25 for all things #KnowledgeGraph #Graph #analytics #datascience #AI #graphDB #SemTech #Ontology 👉 Discover more about the event and secure your place today: 2025.connected-data.london/ 🤝 Want to partner with us on this year's event? Contact us at [email protected] to discuss sponsorship opportunities 📩 Signup for our newsletter and be the first to know about news, special offers and important dates connected-data.london

yFiles Graphs for Streamlit: Visualize graph networks with Python and Streamlit yFiles Graphs for Streamlit is a free diagram visualization component for Streamlit Apps.  You can easily load structures from your favorite Python graph package and benefit from the superior visualization and automatic layouts of our established yFiles SDK. Get more out of your data by building interactive Streamlit apps that automatically organize your networks, let you explore connections, visually highlight important information, and much more. Import from popular Python graph packages and create revealing yet concise visualizations. Just pass the graph data of NetworkX, graph-tool, igraph, PyGraphviz, or structured node and edge lists to the component and interactively explore your network. Benefit from yFiles' superior automatic layout algorithms. Easily arrange your graph with different layout styles: Hierarchic, organic (force-directed), tree, orthogonal, circular, or radial. Each layout style highlights different structural features of the graph and helps you gain new insights into the data. yFiles offers customizable, data-driven mappings for nodes and edges. These mappings let you adjust visual aspects of the diagram - like color, scale, and edge thickness - as well as structural aspects like an item label or position. yWorks offers a perpetual, free, non-transferable license to install and dynamically use this component in your Streamlit apps. yworks.com/products/yfiles-g… Come meet yWorks at Connected Data London!  yWorks is one of our long-time partners, and this year they are supporting CDL by providing beautiful and eco-friendly conference bags. #Visualisation #Python #DataModeling #DataEngineering -- Connected Data London 2025 is coming! 20-21 November, Leonardo Royal Hotel London Tower Bridge Join community legends and new voices in #CDL25 for all things #KnowledgeGraph #Graph #analytics #datascience #AI #graphDB #SemTech #Ontology 👉 Discover more about the event and secure your place today: 2025.connected-data.london/ 🤝 Want to partner with us on this year's event? Contact us at [email protected] to discuss sponsorship opportunities 📩 Signup for our newsletter and be the first to know about news, special offers and important dates connected-data.london

Industry Leaders and Innovators Driving Connected Data 🌐 🚀 #GraphTechCountdown: 8 Days to Connected Data London 2024! 📊 We're giving you 10 reasons not to miss this. Reason #8: CDL24 brings together industry powerhouses transforming data management, data science and AI. We are grateful for their support, and invite everyone to meet them, learn from their experience, and get to know their offerings. 🥇 Platinum Sponsor - @Neo4j: Graph database leader helping organizations uncover hidden relationships across billions of data connections. Trusted by Fortune 500 companies to solve complex business challenges. 🥇 Gold Sponsors: - @Ontotext: Slashing data management costs by 30%, enabling data fabric architectures - @SemWebCompany: Leading semantic AI solutions with PoolParty Semantic Suite - Graphwise: Delivering trusted knowledge graph infrastructure for enterprise AI - @yWorks: Specialized in professional graph and network visualization solutions - @Oracle: Pioneering cloud technologies with the world's first autonomous database 🥈 Silver Sponsors: - Ultipa: Next-gen graph XAI & real-time database - @oxfordsemantic: AI software extracting insights from big data - @lettria_fr: No-code platform uniting business and tech teams 🥉 Bronze Sponsors: - @FlureePBC: Web3 data platform focused on trusted data collaboration - @Senzing: Real-time AI for entity resolution - @SemanticPartner: Knowledge graph and semantic tech implementation - @Epsilla_inc: AI agent platform powered by private data and knowledge Join us to witness the future of data intelligence! #GraphTech #DataScience #AIInnovation #TeamLearning #ConnectedData #TechEvent #KnowledgeGraph #GraphDB #AI #DataScience #Analytics #SemTech #EmergingTech #CDL24

🤔 With high demand for Knowledge Graphs, experts are scarce. Connected Data bridges this gap! Since 2016, we link companies with top professionals. CDL hosts 1K+ Knowledge Graph, Graph AI, Graph Data pros. Sponsor to recruit talent & elevate your brand! connected-data.london/?utm_s…

#ConnectedData is everywhere. Visualizing connections makes them accessible and adds value. But what is the best way to do this? #dataviz #softwaredevelopment #EmergingTech #innovation #datascience #datamodel #graphdatabase #tech #data #Marvel @yworks connected-data.london/2019/1…

#ConnectedData wants to be visualized. #datascientists #softwaredevelopers, end users have many options. Finding the best one for your use case is not always easy. Sebastian Müller, @yWorks CTO, explores #visualization Check #Slideshare & #YouTube! youtube.com/watch?feature=yo…