The dynamics and social organization of innovation in the field of oncology/Bibliography
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Papers and resources[edit | edit source]
General[edit | edit source]
Use of absrtacts
Document tagging and other text-mining
- OpenMinTeD, European text-mining infrastructure
- NCBI text mining web services
- EuropePMC text mined annotations
Funding data
Innovation dynamics
Topical burst detection
- Bursty and Hierarchical Structure in Streams, implementations in C, python
- Mapping topics and topic bursts in PNAS
Name disambiguation
- Author name disambiguation, a recent review
- Exploiting citation networks for large-scale author name disambiguation, a recent paper from ppl at ETH-Zurich
Ontologies
Evolving communities
Word embedding[edit | edit source]
Algorithm and improvements
- king - man + woman is queen; but why?
- What are some interesting Word2Vec results?
- Linguistic Regularities in Sparse and Explicit Word Representations
- Document Classification by Inversion of Distributed Language Representations
- A Dual Embedding Space Model for Document Ranking
Changes in meaning
- Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change
- Statistically Significant Detection of Linguistic Change
Stochastic block models and description length minimization[edit | edit source]
- Inferring the mesoscale structure of layered, edge-valued and time-varying networks
- Hierarchical Block Structures and High-Resolution Model Selection in Large Networks
- Model Selection and Hypothesis Testing for Large-Scale Network Models with Overlapping Groups
Visualizations[edit | edit source]
Medical ontologies[edit | edit source]
There are also more sophisticated ontologies:
- For instance, there is an NCI Thesaurus
- BioPortal keeps a database of ontologies
News[edit | edit source]
Social media buzz
Core set hypothesis
Transparency
Sanofi, Novartis, NCI, Ranbaxy top missing data list as Shire most transparent
ASCO and ESMO
ESMO's not what it used to be—and that's a good thing, executives say