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metadata language: German English

Social Network Science (1916-2012)

Version
1
Resource Type
Dataset
Creator
  • Lietz, Haiko (GESIS - Leibniz Institute for the Social Sciences)
Publication Date
2017
Classification
  • ZA:
    • University, Research, the Sciences
    • Historical Studies Data
Description
  • Abstract

    Social Network Science (SNS) is the field concerned with studying social systems in a relational way from the perspectives of the social and natural sciences. This data set consists of 25,760 biographical records retrieved from the Web of Science, ranging from 1916 to 2012. Each publication belongs to one of five subfields. To facilitate analyses of the social aspect of SNS, the names of 45,580 distinct authors are provided, linked to the papers in 68,227 publication-author relations. Author names have been disambiguated semi-automatically. To enable analyses of the cultural aspect of SNS, 23,026 distinct linguistic concepts are provided. These concepts resemble words or word combinations extracted from titles (for all publication years) and from abstracts and author keywords (only for publications published after 1990/1991). They are linked to the papers in 202,181 publication-concept relations.
Sampling
Complete set of puplications
Collection Mode
    • Other
    • Other
Data and File Information
  • Type of Data: Data frame
    • File Name: publications.txt
      File Format: text/plain
      File Size: 918589
      Data Fingerprint: 5bc59c8d0f544ad48e32838c3a6b483b
      Method Fingerprint: MD5
    • File Name: publications.txt
      File Format: text/plain
      File Size: 918589
      Data Fingerprint: 5bc59c8d0f544ad48e32838c3a6b483b
      Method Fingerprint: MD5
  • Type of Data: Sparse matrix
    • File Name: authorships.txt
      File Format: text/plain
      File Size: 3064502
      Data Fingerprint: b46f12443b8ee0bb06e9fa7779ca62ad
      Method Fingerprint: MD5
    • File Name: authorships.txt
      File Format: text/plain
      File Size: 3064502
      Data Fingerprint: b46f12443b8ee0bb06e9fa7779ca62ad
      Method Fingerprint: MD5
  • Type of Data: Sparse matrix
    • File Name: conceptUsages.txt
      File Format: text/plain
      File Size: 8882206
      Data Fingerprint: a98cad63ed74569d4f175d696ec5bc78
      Method Fingerprint: MD5
    • File Name: conceptUsages.txt
      File Format: text/plain
      File Size: 8882206
      Data Fingerprint: a98cad63ed74569d4f175d696ec5bc78
      Method Fingerprint: MD5
Note
Source: Web of Science
Availability
Download
Free Access (without Registration)
Rights
Permission to publish by Clarivate Analytics
Relations
  • Is new version of
    DOI: 10.7802/1.1954 (Dataset)
Publications
  • Lietz, Haiko. 2016. Scale-Free Identity: The Emergence of Social Network Science. Dissertation, University of Duisburg Essen, Faculty of Social Sciences.;

Update Metadata: 2019-12-20 | Issue Number: 3 | Registration Date: 2017-03-30

Lietz, Haiko (2017): Social Network Science (1916-2012). Version: 1. GESIS Datenarchiv. Dataset. https://doi.org/10.7802/1437