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https://www.vosviewer.com/features

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296										<div class="element " data-element="Introduction">
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309											<h1 class="head1">
310												Highlights</h1>
311											<h2 class="head2">
312												Some highlights of VOSviewer are summarized below.</h2>
313
314										</div>
315									</div>
316								</div>
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323											<h3 class="head3">
324												Data</h3>
325											<ul>
326												<li>
327													<strong>Web of Science, Scopus, Dimensions, Lens, and
328														PubMed</strong>. Co-authorship networks, citation-based
329													networks, and co-occurrence networks can be created based on data
330													downloaded from Web of Science, Scopus, Dimensions, and Lens.
331													Co-authorship networks and co-occurrence networks can also be
332													created based on PubMed data.
333												</li>
334												<li>
335													<div>
336														<strong>Crossref, Europe PMC, and OpenAlex</strong>. Networks
337														can also be created based on data retrieved through the APIs of
338														Crossref, Europe PMC, and OpenAlex. These APIs can be queried
339														interactively in VOSviewer.
340													</div>
341												</li>
342												<li>
343													<div>
344														<strong>Semantic Scholar, OpenCitations, and WikiData</strong>.
345														For a given set of DOIs, networks can also be created based on
346														data retrieved through the APIs of Semantic Scholar,
347														OpenCitations, and WikiData.
348													</div>
349												</li>
350											</ul>
351
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360											<nav class="contentmenu"><a class="parentpage" href="features">Features</a>
361												<ul>
362													<li data-mlvl="1" class="active">
363														<a class="mid" data-type="menu" data-id="102"
364															href="features.html" title="Highlights">Highlights</a>
365														<ul>
366															<li class="active down"><a data-anchor="data"
367																	href="#data">Data</a></li>
368															<li class="down"><a data-anchor="visualization"
369																	href="#visualization">Visualization</a></li>
370															<li class="down"><a data-anchor="techniques"
371																	href="#techniques">Techniques</a></li>
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375														<a class="mid" data-type="menu" data-id="87"
376															href="screenshots.html" title="Screenshots">Screenshots</a>
377													</li>
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380															href="examples.html" title="Examples">Examples</a>
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391										<a class="anchortarget" data-anchortarget="visualization"
392											name="Visualization"></a>
393										<div class="element " data-element="(element)">
394											<h3 class="head3">
395												Visualization</h3>
396											<ul>
397												<li>
398													<strong>Zooming and scrolling</strong>. Visualizations of
399													bibliometric networks can be explored in full detail using zoom and
400													scroll functionality similar to for instance Google Maps. A smart
401													labeling algorithm prevents labels from overlapping each other.
402												</li>
403												<li>
404													<strong>Density and overlay visualizations</strong>. Density
405													visualizations provide a quick overview of the main areas in a
406													bibliometric network. Overlay visualizations can for instance be
407													used to show developments over time.
408												</li>
409												<li>
410													<strong>Screenshots</strong>. Screenshots of bibliometric network
411													visualizations can be created at a high resolution and can be saved
412													in many popular graphical file formats, both bitmap and vector
413													formats.
414												</li>
415											</ul>
416
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425										<div class="element " data-element="(element)">
426											<h3 class="head3">
427												Techniques</h3>
428											<ul>
429												<li>
430													<strong>Advanced layout and clustering techniques</strong>.
431													State-of-the-art techniques for network layout and network
432													clustering are provided. Layout and clustering results can be
433													fine-tuned using various parameters.
434												</li>
435												<li>
436													<strong>Natural language processing techniques</strong>. Natural
437													language processing techniques are available for creating term
438													co-occurrence networks based on English-language textual data.
439													Relevant and non-relevant terms can be distinguished
440													algorithmically.
441												</li>
442												<li>
443													<strong>Creating bibliometric networks</strong>. A number of
444													advanced features are available for creating bibliometric networks
445													(e.g., co-authorship, bibliographic coupling, and co-citation
446													networks). For instance, the influence of publications with many
447													authors, many citations, or many references can be reduced using a
448													fractional counting approach. Data cleaning can be performed using
449													thesaurus files.
450												</li>
451											</ul>
452
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522						</a></div>
523					<div id="sb-nav"><a id="sb-nav-close" title="Close" onclick="Shadowbox.close()"></a><a
524							id="sb-nav-next" title="Next" onclick="Shadowbox.next()"></a><a id="sb-nav-play"
525							title="Play" onclick="Shadowbox.play()"></a><a id="sb-nav-pause" title="Pause"
526							onclick="Shadowbox.pause()"></a><a id="sb-nav-previous" title="Previous"
527							onclick="Shadowbox.previous()"></a></div>
528					<div style="clear:both"></div>
529				</div>
530			</div>
531		</div>
532	</div>
533</body>
534
535</html>

Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.