Name
Title | ||
|---|---|---|
Methods of Determining Information Support of Web Community User Personal Data Verification System. |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-54042-9_13 | AUTOMATION 2017: INNOVATIONS IN AUTOMATION, ROBOTICS AND MEASUREMENT TECHNIQUES |
Keywords | DocType | Volume |
Web-community management,Personal data,Verification,Virtual community users | Conference | 550 |
ISSN | Citations | PageRank |
2194-5357 | 1 | 0.63 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Igor Korobiichuk | 1 | 1 | 1.64 |
| Solomia Fedushko | 2 | 9 | 7.26 |
| Andrzej Jus | 3 | 2 | 1.59 |
| Yuriy Syerov | 4 | 7 | 10.35 |