{"doi":"10.3145/epi.2014.nov.05","title":"The generation of large networks from &lt;i&gt;Web of Science&lt;/i&gt; data","abstract":"During the 1990s, one of us developed a series of freeware routines (http://www.leydesdorff.net/indicators) that enable the user to organize downloads from the Web of Science (Thomson Reuters) into a relational database, and then to export matrices for further analysis in various formats (for example, for co-author analysis). The basic format of the matrices displays each document as a case in a row that can be attributed different variables in the columns. One limitation to this approach<br/>was hitherto that relational databases typically have an upper limit for the number of variables, such as 256 or 1024. In this brief communication we report on a way to circumvent this limitation by using txt2Pajek.exe, available as freeware from http://www.pfeffer.at/txt2pajek.<br/><br/>Durante la década de 1990, uno de nosotros desarrolló una serie de rutinas de software gratuito (http://www.leydesdorff. net/indicators) que permiten organizar las descargas desde la Web of Science (Thomson Reuters) en una base de datos relacional, y luego exportar matrices para su posterior análisis en varios formatos (por ejemplo, para el análisis de co-autores). El formato básico de las matrices muestra cada documento en una fila al que se le pueden atribuir diferentes variables en<br/>las columnas. Una limitación que entonces tenía este enfoque era que las bases de datos relacionales suelen tener un límite superior en el número de variables, por ejemplo, 256 o 1.024 En esta breve comunicación se presenta una forma de eludir esta limitación utilizando txt2Pajek.exe, disponible como freeware en el url http://www.pfeffer.at/txt2pajek.","journal":"El Profesional de la Informacion","year":2014,"id":11875,"datarank":0.4749239380666433,"base_score":1.791759469228055,"endowment":1.791759469228055,"self_citation_contribution":0.26876392038420827,"citation_network_contribution":0.20616001768243503,"self_endowment_contribution":0.26876392038420827,"citer_contribution":0.20616001768243503,"corpus_percentile":59.80505917846368,"corpus_rank":5197,"citation_count":5,"citer_count":3,"citers_with_citation_signal":2,"citers_with_endowment":2,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.8713,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2014-11-01","fair_score":52.9167,"fair_percentile":28.8,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":661,"name":"Lutz Bornmann","orcid":"0000-0003-0810-7091","position":2,"is_corresponding":false},{"id":55829,"name":"Gohar F. Khan","orcid":"0000-0003-2784-0918","position":3,"is_corresponding":false},{"id":663,"name":"Loet Leydesdorff","orcid":"0000-0002-7835-3098","position":0,"is_corresponding":true}],"reference_count":12,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-03-01T18:20:47.508186Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":100.0,"fair_a":70.0,"fair_i":0.0,"fair_r":41.6667,"fair_zscore":-1.0446,"fair_rationale":{"fair_score":52.92,"has_llm":false,"dimensions":{"F":{"name":"Findable","score":100.0,"criteria":[{"key":"f_has_doi","label":"Has a persistent DOI","kind":"deterministic","weight":1.0,"fraction":1.0,"signal":"DOI present","rationale":null},{"key":"f_repository_presence","label":"Indexed in repositories / literature DBs","kind":"deterministic","weight":1.0,"fraction":1.0,"signal":"datacite=0, pmcid=False, pmid=True","rationale":null},{"key":"f_persistent_ids","label":"Resolvable scholarly identifiers (OpenAlex)","kind":"deterministic","weight":0.5,"fraction":1.0,"signal":"OpenAlex id present","rationale":null}]},"A":{"name":"Accessible","score":70.0,"criteria":[{"key":"a_open_access","label":"Open Access / files deposited","kind":"deterministic","weight":1.5,"fraction":0.5,"signal":"files/OA location present but not flagged OA","rationale":null},{"key":"a_retrievable","label":"Free full text retrievable","kind":"deterministic","weight":1.0,"fraction":1.0,"signal":"8 OA location(s)","rationale":null}]},"I":{"name":"Interoperable","score":0.0,"criteria":[{"key":"i_linked_data","label":"Linked datasets / DataCite relations","kind":"deterministic","weight":1.0,"fraction":0.0,"signal":"linked_datasets=0, datacite=0","rationale":null},{"key":"i_standard_ids","label":"References data via standard accessions","kind":"deterministic","weight":1.0,"fraction":0.0,"signal":"accessions=0, trials=0","rationale":null}]},"R":{"name":"Reusable","score":41.67,"criteria":[{"key":"r_license","label":"Clear, open reuse license","kind":"deterministic","weight":1.5,"fraction":0.5,"signal":"license present (other-oa)","rationale":null},{"key":"r_downloads","label":"Demonstrated reuse (downloads)","kind":"deterministic","weight":0.5,"fraction":0.0,"signal":"downloads=0","rationale":null},{"key":"r_version","label":"Versioned / maintained","kind":"deterministic","weight":0.5,"fraction":0.0,"signal":"no version chain","rationale":null},{"key":"r_dataset","label":"Classified as a data resource","kind":"deterministic","weight":0.5,"fraction":1.0,"signal":"is_dataset","rationale":null}]}},"suggestions":["Link the underlying datasets via DOIs / DataCite relations.","Reference data using standard accessions (e.g. GEO, PDB, ClinicalTrials.gov).","Maintain explicit versioning for the dataset.","Make the paper/data Open Access or deposit the files in an open repository.","Attach a clear, open reuse license (e.g. CC-BY or CC0)."],"model":null,"agent_version":"fair_agent_v3","fulltext_source":"unpaywall_pdf"},"fair_model":null,"fair_agent_version":"fair_agent_v3","fair_fulltext_source":"unpaywall_pdf","fair_has_llm":false,"fair_computed_at":"2026-07-18T20:56:54.134831Z","clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}