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kintopp : graphs   77

Software: The Polly Lab: Indiana University Bloomington
This Mathematica© add-on package performs common geometric morphometric functions. via Pocket
biology  graphs  wolfram 
13 days ago by kintopp
GitHub - IstvanZachar/Phylogenetics: Phylogenetics with the Wolfram Language
Phylogenetics with the Wolfram Language. Related post at Mathematica.StackExchange: How to work with phylogenetic trees? via Pocket
biology  graphs  wolfram 
13 days ago by kintopp
Genau, wahrscheinlich, eher nicht: Beziehungsprobleme in einem Wissensgraph | ZfdG - Zeitschrift für digitale Geisteswissenschaften
Zunächst ist festzuhalten: In einem graphbasierten Datenmodell sind jeweils zwei Knoten – die Entitäten repräsentieren – durch eine Kante – also eine Beziehung – miteinander verbunden. Unsicherheit kann ausschließlich in der Beziehung ausgedrückt werden. via Pocket
graphs  semantic  uncertainty 
5 weeks ago by kintopp
Text as a Graph | Graphentechnologien
Die AG Graphentechnologie des DHd-Verbandes veranstaltet vom 10. bis 11. September 2018 einen Workshop zum Thema ‘Text as a Graph’ an der SUB Göttingen. via Pocket
community  dariah  germany  graphs  text 
9 weeks ago by kintopp
Zotero | Groups > Historical Network Research > Library
Home > Groups > Historical Network Research > Library Create Item Library Settings Cite Export via Pocket
bibliography  graphs  history  networks  reading-list 
9 weeks ago by kintopp
Evaluating named entity recognition tools for extracting social networks from novels
The analysis of literary works has experienced a surge in computer-assisted processing. To obtain insights into the community structures and social interactions portrayed in novels, the creation of social networks from novels has gained popularity. via Pocket
graphs  literature  nlp  review  social  socialgraph  tools 
9 weeks ago by kintopp
Netzwerkanalyse mit Gephi
Welcher Primärtext liegt der Analyse zugrunde? Erstellen Sie ein Figuren-Netzwerk und analysieren Sie digital Lessings Drama Emilia Galotti.
Welche Arbeitsschritte sollten vor der Analyse ausgeführt werden? Vor Beginn der Analyse muss Gephi heruntergeladen bzw. installiert und Netzwerkdaten zu Lessings Drama auf Ihren Rechner heruntergeladen werden.
Welche Funktionen bietet Ihnen Gephi? Mit Gephi können Sie tabellarische Übersichten erstellen, die in Netzwerkvisualisierungen umgewandelt werden. Die Netzwerkvisualisierungen sind auf vielfältige Weise individualisierbar.
Lösungen zu den Beispielaufgaben
Haben Sie die Beispielaufgaben richtig gelöst? Hier finden Sie Antworten.
germany  graphs  howto  learn  networks 
9 weeks ago by kintopp
graphs and networks - How can I use the Python library networkx from Mathematica? - Mathematica Stack Exchange
Below we implement a function nxFunction that automatically handles translating Mathematica expressions of interest to Python, as well as converting the results back. The usage will be Here is a barebones example that serves as a proof of concept. via Pocket
graphs  networks  python  wolfram 
12 weeks ago by kintopp
J.R. Ladd : Projects
Print and Probability. Part of an interdisciplinary team of literature scholars, statisticians, and computer scientists at CMU who are using optical character recognition to identify printers of early modern books based on broken type. Early Modern Digital Agendas Network. via Pocket
graphs  history  networks  tools  visualization  grants 
march 2019 by kintopp
Wikidata:FactGrid - Wikidata
The FactGrid project aims to become a wikibase instance for historical research in its widest sense. via Pocket
germany  graphs  history  research  semantic  wiki 
march 2019 by kintopp
Beginning Historical Network Analysis - Google Docs
What I wish I had known when I started using Network Analysis methods
graphs  learn  networks  resources 
february 2019 by kintopp
webweb - webweb
webweb is a tool for creating, displaying, and sharing interactive network visualizations on the web, designed for simplicity and ease of use. With just a few lines of python, networkx, or matlab, webweb will build and launch a visualization in your browser.
graphs  matlab  networks  python  tools 
february 2019 by kintopp
Complex Networks 2018
The International Conference on Complex Networks and their Applications aims at bringing together researchers from different scientific communities working on areas related to complex networks. via Pocket
conference  graphs  networks 
december 2018 by kintopp
Interactive Visualizations for Dynamic and Multivariate Networks.
graphs  networks  time  tools  visualization 
december 2018 by kintopp
MiniVAN (Visual Analyser of Networks)
Networks are increasingly popular in the social sciences and in the humanities as interfaces for exploratory data analysis. “Visual Networks Analysis” (or VNA) allows scholars to analyse large relational datasets without having to deal with the full complexity of graph mathematics.
graphs  networks  tools  visualization 
december 2018 by kintopp
Kumu is a powerful data visualization platform that helps you organize complex information into interactive relationship maps. Kumu makes it easy to organize complex data into relationship maps that are beautiful to look at and a pleasure to use. via Pocket
graphs  networks  tools  visualization  webdev 
november 2018 by kintopp
Network Visualization of Notes, Text, Ideas, Evernote and Twitter - InfraNodus.Com
Create text network visualizations to store, develop and connect your ideas. Reveal patterns in text, identify main topics, generate ideas. via Pocket
graphs  networks  text  tools  visualization 
november 2018 by kintopp
GitHub - jorisvanzundert/reynaert-as-graph: Reynaert-as-graph is an attempt at OO modeling text.
This is the code base that was used in an experiment in slow coding and computer literacy. The docs contain technical documentation primarily. A more scholarly oriented introduction and discussion on this project you will find in the accompanying Jupyter Notebook "Slow Programming & Close Reading". via Pocket
dev  graphs  literature  text 
november 2018 by kintopp
Temporal Network Analysis with R | Programming Historian
If you are reading this tutorial, you might already have some experience modeling humanities data as a network. via Pocket
graphs  humanities  learn  networks  time 
november 2018 by kintopp
Programme | Connected Past
How do social networks evolve over huge time-scales? How did geography constrain or enhance the development of past social networks? These are fundamental questions in both the study of the human past and network research, yet our ability to answer them is severely hampered by the limited development of spatiotemporal network methods. The Connected Past 2018 is a multi-disciplinary, international two-day conference that aims to provide a friendly and informal platform for exploring the use of network research in the study of the human past.
archaeology  conference  geo  graphs  history  networks  oxford  routes  time 
november 2018 by kintopp
The Academic Family Tree
The Academic Family Tree is a nonprofit, user content-driven web database that aims to accurately document and publicly share the academic genealogy of current and historical researchers across all fields of academia. As a modern web application, The Academic Family Tree leverages the knowledge of thousands of individual users into a single, self-correcting database. Access to Tree sites is free, and users are able to contribute content directly.
academy  biography  graphs  people 
november 2018 by kintopp
Graphentechnologien 2019 – Graphentechnologien
Graphdatenbanken werden seit einigen Jahren in Forschungsvorhaben zur Modellierung von Forschungsdaten und erschließendem Wissen genutzt. via Pocket
conference  dh  germany  graphs  humanities  networks 
november 2018 by kintopp
SylvaDB - Welcome to The Sylva Project
A Flexible Way To Manage Your Graphs Graph Databases Made Easy For Everyone You signed out. via Pocket
database  graphs  models  networks 
october 2018 by kintopp
Siena Homepage
SIENA is a program for the statistical analysis of network data, with the focus on social networks.
graphs  networks  time  tools 
october 2018 by kintopp
Learning useful representations from highly structured objects such as graphs is useful for a variety of machine learning applications. Besides reducing the engineering effort, these representations can lead to greater predictive power. via Pocket
graphs  networks  tools  ml 
august 2018 by kintopp
Representation Learning on Networks
Researchers in network science have traditionally relied on user-defined heuristics to extract features from complex networks (e.g., degree statistics or kernel functions). via Pocket
graphs  learn  networks  ml 
august 2018 by kintopp
Workshop on Scholarly Digital Editions, Graph Data-Models and Semantic Web Technologies – Université de Lausanne, 3-4 June 2019
Digital texts processed by machines are linear strings of characters, but in most research activities in the Humanities (philology, linguistics, corpus-based analysis, cultural heritage, etc. via Pocket
cfp  conference  editions  graphs  swiss  text 
july 2018 by kintopp
Adjacency matrix plots with R and ggplot2 - Matthew Lincoln, PhD
While the circle-and-line idiom used by many network visualization tools such as Gephi can be useful for investigating the structure of small- and medium-scale networks, large-scale network visualizations tend to result in the worst kinds of spaghetti plots. via Pocket
graphs  methodology  networks  visualization 
july 2018 by kintopp
Data Pen
Draw with data. Data Pen leverages linked data to aid researchers, not to replace them. Use the canvas as a blank slate to think visually, accompanied by a tabular view to keep the data close at hand. via Pocket
editing  graphs  networks  people  places  linkeddata  tools 
july 2018 by kintopp
GitHub - rpgove/greadability: Graph layout readability metrics.
Greadability.js is a JavaScript library for computing global graph readability metrics on graph layouts. These readability metrics help us answer questions like, which layout is better? Or, has the layout converged, or should it continue running? via Pocket
graphs  networks  tools  ui  ux  visualization 
july 2018 by kintopp
Network Analysis + Digital Art History – A Getty Advanced Workshop
The NA+DAH Workshop is a Getty Foundation-supported event that will bring together art historians, network scientists, and digital humanists to advance research at the intersection of these fields. via Pocket
art  getty  graphs  networks  usa  workshop 
june 2018 by kintopp
Sapping Attention: Meaning chains with word embeddings
Matthew Lincoln recently put up a Twitter bot that walks through chains of historical artwork by vector space similarity. The idea comes from a Google project looking at paths that traverse similar paintings. via Pocket
analysis  demos  graphs  images  visualization  text 
june 2018 by kintopp
Graphentechnologien in den Digitalen Geisteswissenschaften
Dieses Studienbuch führt in Graphentechnologien mit einem geisteswissenschaften Fokus ein. Es handelt sich momentan um eine Arbeitsfassung, die noch weiter entwickelt, ggf. umstrukturiert und ausgebaut wird. Für Rückmeldungen, Verbesserungen und Hinweise bin ich dankbar.
books  germany  graphs  networks  open  access  xml 
june 2018 by kintopp
Die Modellierung des Zweifels
Die Modellierung des Zweifels: Schlüsselideen und -konzepte zur graphbasierten Modellierung von Unsicherheiten. Links to presentations from a 2018 conference on 'Graph-based modelling of uncertainty'.
conference  germany  graphs  models  networks  talk  uncertainty 
june 2018 by kintopp
Some ways Wikidata can improve search and discovery | Bodleian Digital Library
I have written in the past about how Wikidata enables entity-based browsing, but search is still necessary and it is worth considering how a semantic web database can be useful to a search engine index. via Pocket
graphs  learn  reconcile  search  semantic  wiki 
may 2018 by kintopp
Network Navigator
This tool is meant to provide a metrics-focused look into your network data. We hope it will be a quick and easy way to get the most popular network measurements. While we provide a small visualization for comparison purposes, visualization is not the focus. via Pocket
data  graphs  networks  tools 
may 2018 by kintopp
GitHub - melaniewalsh/sample-social-network-datasets: A collection of social network datasets for teaching with tools like Gephi
This repository contains sample social network datasets specifically collected and formatted for teaching with Gephi. via Pocket
datasets  demos  graphs  networks 
may 2018 by kintopp
Previous versions of ConceptNet were a home-grown crowd-sourced project, where we ran a Web site (Open Mind Common Sense) collecting facts from people who came to the site. The Web of Data is much bigger than that now. via Pocket
concepts  graphs  linkeddata  ontology  open  access  semantic  ml 
may 2018 by kintopp
MiniVAN for the Visual Analysis of Networks
I’m happy to announce that the Public Data Lab has received funding from Sage Publishing to develop a project called MiniVAN. This will be a simple tool to facilitate the visual analysis of networks and online publication of results. Further details are copied below. via Pocket
graphs  gui  networks  tools 
march 2018 by kintopp
Introduction · graphology
It aims at supporting various kinds of graphs with the same unified interface. Along with those specifications, one will also find a standard library full of graph theory algorithms and common utilities such as graph generators, layouts etc. via Pocket
graphs  javascript  networks  webdev 
march 2018 by kintopp
How to think in graphs: An illustrative introduction to Graph Theory and its applications
Graph theory represents one of the most important and interesting areas in computer science, and at the same time the most misunderstood (at least by me, no stats). Understanding and using graphs makes us better programmers. Thinking in graphs makes us the best. via Pocket
graphs  learn  networks 
march 2018 by kintopp
Complex Network Analysis in Python: Recognize → Construct → Visualize → Analyze → Interpret by Dmitry Zinoviev | The Pragmatic Bookshelf
Complex network analysis used to be done by hand or with non-programmable network analysis tools, but not anymore! You can now automate and program these tasks in Python. Complex networks are collections of connected items, words, concepts, or people. via Pocket
graphs  learn  networks  python 
march 2018 by kintopp
Analyzing data networks – Graph Commons – Medium
Analyzing data with visual methods helps you gain better insight about complexity. via Pocket
graphs  learn  networks 
december 2017 by kintopp
Temporal networks
bibliography presentations demos
bibliography  graphs  networks  paper  talk  time 
october 2017 by kintopp
A couple of days ago, we presented a first version of our TEI-encoded Russian Drama Corpus (RusDraCor) at the CORPORA 2017 conference in St. Petersburg (slides). Our goal is to assemble hundreds of Russian plays from the 1740s (Sumarokov) up to the 1930s with authors like Gorky and Mayakovsky. via Pocket
analysis  drama  graphs  networks  russia  visualization 
october 2017 by kintopp
NetworkX — NetworkX
NetworkX is a Python language software package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. via Pocket
dev  graphs  networks  python 
september 2017 by kintopp
Female Involvement, Membership, and Centrality: A Social Network Analysis of the Hartlib Circle - Bourke - 2017 - Literature Compass - Wiley Online Library
This article builds upon the pioneering work of Carol Pal, Lynette Hunter, Ruth Connolly and Michelle DiMeo by carrying out an extensive social network analysis of the Hartlib Papers. By adapting the methodology recently developed by Ruth Ahnert and Sebastian E. via Pocket
graphs  history  paper  social  uk 
august 2017 by kintopp
Introduction to Network Analysis
Once you’ve generated metrics, you can apply them to the graph visualization. The network metrics generated in the prior section can be used to restyle the network. via Pocket
graphs  howto  tools 
july 2017 by kintopp
Network Canvas - a suite of open source tools to enable cutting edge personal networks research.
Large amounts of digital trace data are now available to human behaviour researchers, but without contextual factors these 'big data' do not necessarily bring greater understanding. via Pocket
graphs  networks  tools 
may 2017 by kintopp
software for social network analysis
Huisman, Mark and van Duijn, Marijtje A.J. (2011). A reader's guide to SNA software. In J. Scott and P.J. Carrington (Eds.) The SAGE Handbook of Social Network Analysis (pp. 578-600). London: SAGE. Website accompanying the chapter, listing software links and references. via Pocket
graphs  lists  networks  tools  visualization 
april 2017 by kintopp
The Connected Past - Tom Brughmans; Anna Collar; Fiona Coward - Oxford University Press
Challenges to Network Studies in Archaeology and History Features a comprehensive volume introduction which explains what network science is, why it is of interest for studying the past, and outlines the challenges faced when using network science in archaeology and history Provides archaeologist via Pocket
archaeology  books  graphs  history  networks 
december 2016 by kintopp
Fibra Project
Fibra is a data modeling tool with the ability to connect to rich data stores. With Fibra, when you add a record to your local data set, you can pull all the related data you want from open, digitized, and strongly linked sources around the world. via Pocket
graphs  networks  tools 
december 2016 by kintopp
Graphbasierte digitale Editionen – Mittelalter
In diesem Artikel soll ein neuer Ansatz für die Modellierung digitaler Editionen vorgestellt werden, mit dem der Befund einer Edition codiert und gleichzeitig transparent mehrere Deutungshierarchien erstellt, durchsucht, exportiert, bearbeitet und langzeitarchiviert werden können. via Pocket
editions  graphs 
november 2016 by kintopp
We don’t know if you noticed, but the LINA research field (LIterary Network Analysis) has come up with pretty good PR videos lately. Look at this fancy Youtube clip produced by the “Nation, Genre & Gender” project at the University College Dublin (their project homepage is here). via Pocket
drama  graphs  howto  networks 
november 2016 by kintopp
linkurious.js graph visualization library - Linkurious - Understand the connections in your data
Learn how to develop with linkurious.js by reading the API documentation, experimenting with the examples and following the tutorials. via Pocket
graphs  networks  tools  webdev 
september 2016 by kintopp
Exploring Depictions of Amsterdam with Palladio - Matthew Lincoln, PhD
The following walkthrough was made for a Palladio workshop given at the Frick Digital Art History Lab, April 8th, 2016. Work slowly. Wait for an option to finish loading before you click it again or click something else. via Pocket
arthistory  graphs  learn  networks 
may 2016 by kintopp
Linkurious - Linkurious - Understand the connections in your data
Linkurious helps search and visualize your graph data through a simple web-based interface. Explore and discover the insights hidden in complex connected data like financial transactions, security logs or social networks. Linkurious allows you to analyse graph data to make smart decisions. via Pocket
graphs  networks  tools 
may 2016 by kintopp
Network analysis with R and igraph: NetSci X Tutorial
Get the tutorial PDF and code, or download on GithHub. Categories: Featured, Networks, Post Tags: igraph, NetSci, network, network analysis, network science, R via Pocket
graphs  howto  learn  networks  tools 
january 2016 by kintopp
Getting started with Palladio | Miriam Posner's Blog
Palladio, a product of Stanford’s Humanities+Design Lab, is a web-based visualization tool for complex humanities data. Think of Palladio as a sort of Swiss Army knife for humanities data. via Pocket
graphs  howto  networks 
december 2015 by kintopp
histoGraph live demo + network teaching + Connect! workshop in Turku, Finland | Digital Humanities LAB at CVCE
Following an invitation by my colleage Kimmo Elo, a contemporary historian and social scientist with an interest in network analysis and text analysis, I went to meet members of Turku’s DH community, taught an introductory workshop on network data extraction and visualization and gave the first p via Pocket
archives  graphs  history  networks  tools  visualization 
november 2015 by kintopp
These are the character networks of 465 German-language dramas from 1731 (left upper corner) to 1929 (bottom right) at one glance. via Pocket
germany  graphs  literature  networks  tools  visualization 
october 2015 by kintopp
Sigma js
Sigma is a JavaScript library dedicated to graph drawing. It makes easy to publish networks on Web pages, and allows developers to integrate network exploration in rich Web applications. The following example shows how simple it is to use sigma to display a JSON encoded graph file. via Pocket
graphs  javascript  networks  tools 
september 2015 by kintopp
Note that these demos use the performance enhancing motion blur effect by default. You can turn that off at initialisation if you so choose (i.e. initOptions.motionBlur: false). Cytoscape.js is an open-source graph theory (a.k.a. network) library written in JavaScript. You can use Cytoscape. via Pocket
graphs  networks  visualization  webdev 
july 2015 by kintopp
SylvaDB - Welcome to The Sylva Project
A Flexible Way To Manage Your Graphs Graph Databases Made Easy For Everyone You signed out. via Pocket
graphs  models  networks  tools 
june 2015 by kintopp
The Complete n00b’s Guide to Gephi – Brian Sarnacki
Because my last tutorial, The Complete n00b’s Guide to Mapping in R, received a positive response, I decided to create another beginner’s guide to visualizing data. For this edition, I’ve chosen Gephi, an excellent and simple tool to do social network analysis. via Pocket
graphs  learn 
may 2015 by kintopp
The scientific revolution of the 17th century was driven by countless discoveries in the workshop, in the observatory and in society at large. A dramatic increase in the amount of information gave rise to new knowledge. via Pocket
graphs  letters  networks 
april 2015 by kintopp
szhorvat/IGraphR · GitHub
Call igraph with ease from Mathematica through RLink. RLink is available in Mathematica 9 or later. First, make sure that you are using an R installation that has the igraph package. via Pocket
graphs  statistics  mathematica 
october 2014 by kintopp
Kindred Britain
KINDRED BRITAIN Version 1.0 ‘Only connect...’ — E. M. via Pocket
networks  visualization  biography  graphs  people 
july 2014 by kintopp

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