SOCIAL NETWORK DATASET OF VKONTAKTE USERS PROFILE WITH PSYCHOLOGICAL CHARACTERISTICS, VERBAL AND FLUID INTELLIGENCE

Citation Author(s):
Anastasia
Panfilova
Institute of psychology of the Russian Academy of Sciences
Denis
Turdakov
Ivannikov Institute for System Programming of the Russian Academy of Science, Research Center for Trusted Artificial Intelligence
Submitted by:
Anastasia Panfilova
Last updated:
Tue, 05/30/2023 - 04:17
DOI:
10.21227/da7r-4v95
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Abstract 

The following dataset contains social network (Vkontakte) profile characteristics of 1358 Russian-speaking subjects and measured psychological traits, verbal and fluid intelligence. The user’s profiles, posts and reposts were processed, emotional coloring, sentiment, intent characteristics were extracted from them. Each participant answered BigFive inventory, Raven’s advanced progressive matrices, Verbal intelligence test.

 

The Big Five Inventory  in Russian adaptation7 was used for measuring five main domains. 

Crystallized intelligence also was measured. We used three verbal scales in Russian: analogies (20 items for 6 min), generalization (20 items for 7 min) and deduction (16 items for 8 min). The overall measure of crystallized intelligence was computed as a sum of scores for individual scales.

Fluid intelligence was measured by Short form of the Raven's Advanced Progressive Matrices.

Instructions: 

The paper "IEEE_Dataport.docx" associated with the dataset describes all fields.

Funding Agency: 
Analytical Center for the Government in accordance with the subsidy agreement (agreement identifier 000000D730321P5Q0002) and the agreement with the Ivannikov Institute for System Programming of the Russian Academy of Sciences dated November 2, 2021
Grant Number: 
No. 70-2021-00142

Documentation

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