Methods of Determining Information Support of Web Community User Personal Data Verification System

Autor:	Yuriy Syerov, Igor Korobiichuk, Solomia Fedushko, Andrzej Juś
Rok vydání:	2017
Předmět:	World Wide Web Computer science Verification system Data verification Community management Information support Administrative authority Virtual community Task (project management) Web community
Zdroj:	Automation 2017 ISBN: 9783319540412 AUTOMATION
DOI:	10.1007/978-3-319-54042-9_13
Popis:	This article considers the concept of information support of web community member personal data verification system. It has been established that information support of verification system depends on the following parameters: profile filling level, profile data and content actuality level, administrative authority, web user activity level and level of compliance with virtual community rules. The paper also analyzes an actual task of developing methods for determining information support of web community member personal data verification system. The level of information support of web community member personal data verification system allows evaluating the effectiveness of verification system in web-community management. It is concluded that the higher is the level of information support of web community member data verification system, the better is the community management performance, and therefore, web community operation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::dae7b1d9c99bdd72a190b4bede158c7d https://doi.org/10.1007/978-3-319-54042-9_13 Zobrazit plný text záznamu