scholarly article | Q13442814 |
P819 | ADS bibcode | 2014PLoSO...9j2070S |
P818 | arXiv ID | 1402.0790 |
P356 | DOI | 10.1371/JOURNAL.PONE.0102070 |
P724 | Internet Archive ID | arxiv-1402.0790 |
P3181 | OpenCitations bibliographic resource ID | 1457075 |
P932 | PMC publication ID | 4094564 |
P698 | PubMed publication ID | 25013937 |
P5875 | ResearchGate publication ID | 263862808 |
P50 | author | Markus Strohmaier | Q48612584 |
Philipp Singer | Q59790844 | ||
Denis Helic | Q67220716 | ||
P2093 | author name string | Philipp Singer | |
Behnam Taraghi | |||
P2860 | cites work | Estimating the Dimension of a Model | Q29542197 |
Inference of population structure under a Dirichlet process model | Q35757647 | ||
Limits of predictability in human mobility | Q39899456 | ||
How random are online social interactions? | Q41878576 | ||
Inferring Markov chains: Bayesian estimation, model comparison, entropy rate, and out-of-class modeling. | Q45985492 | ||
The anatomy of a large-scale hypertextual Web search engine | Q54152576 | ||
On Information and Sufficiency | Q56286611 | ||
Multimodel Inference: Understanding AIC and BIC in Model Selection | Q56390541 | ||
Are web users really Markovian? | Q57904472 | ||
On Some Criteria for Estimating the Order of a Markov Chain | Q58407237 | ||
Strong Regularities in World Wide Web Surfing | Q61190729 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P4510 | describes a project that uses | Bayes' theorem | Q182505 |
P433 | issue | 7 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | Markov chain | Q176645 |
P304 | page(s) | e102070 | |
P577 | publication date | 2014-01-01 | |
P1433 | published in | PLOS One | Q564954 |
P1476 | title | Detecting memory and structure in human navigation patterns using Markov chain models of varying order | |
P478 | volume | 9 |
Q93013240 | Data Mining in the Development of Mobile Health Apps: Assessing In-App Navigation Through Markov Chain Analysis |
Q28654757 | Discovering beaten paths in collaborative ontology-engineering projects using Markov chains |
Q27243074 | Dynamics and biases of online attention: the case of aircraft crashes |
Q64111654 | From networks to optimal higher-order models of complex systems |
Q24090615 | How the structure of Wikipedia articles influences user navigation |
Q59528589 | JANUS: A hypothesis-driven Bayesian approach for understanding edge formation in attributed multigraphs |
Q37623706 | Memory and betweenness preference in temporal networks induced from time series |
Q41699501 | Modeling Search Behaviors during the Acquisition of Expertise in a Sequential Decision-Making Task |
Q64072689 | Predictive Bayesian selection of multistep Markov chains, applied to the detection of the hot hand and other statistical dependencies in free throws |
Q83955651 | Quantifying Engagement with Citations on Wikipedia |
Q39625238 | Representing higher-order dependencies in networks. |
Q36267696 | Search strategies of Wikipedia readers |
Q36964003 | The influence of memory on indoor environment exploration: A numerical study |
Q92932659 | The role of detours in individual human navigation patterns of complex networks |
Q57983335 | Understanding How Users Edit Ontologies: Comparing Hypotheses About Four Real-World Projects |
Q29053226 | Why We Read Wikipedia |
Search more.