Estimation method of the cohesion degree for the users’ profiles of social network based on open data
The purpose of research was to study the existing methods of determining the degree of cohesion of two users of social network, identifying their shortcomings and developing a new method. The research identified shortcomings of existing methods and proposed a new method for assessing the degree of c...
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| Format: | Article |
| Language: | English |
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Plekhanov Russian University of Economics
2018-01-01
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| Series: | Открытое образование (Москва) |
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| Online Access: | https://openedu.rea.ru/jour/article/view/465 |
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| author | Valentina A. Kataeva Igor S. Pantyukhin Igor V. Yurin |
| author_facet | Valentina A. Kataeva Igor S. Pantyukhin Igor V. Yurin |
| author_sort | Valentina A. Kataeva |
| collection | DOAJ |
| description | The purpose of research was to study the existing methods of determining the degree of cohesion of two users of social network, identifying their shortcomings and developing a new method. The research identified shortcomings of existing methods and proposed a new method for assessing the degree of cohesion of social network profiles based on open data from a social network. Under the degree of cohesion of users’ profiles is understood the probability of communication (interaction) of profile owners in real life, it is calculated for two users of the social network and expressed in percent. The work of the method is demonstrated on the example of the social network “In contact”. This method includes the sequence of the following stages: the first stage is data collection about users of the social network with API and the formation of tuples of users’ profile characteristics. A tuple of characteristics of social network profiles is the data, collected for each user, stored in a structured form.The next step is the analysis of the collected information. For each characteristic of the tuple of profiles, i.e. the possible element of interaction of users in the social network, the coefficient of cohesion by the characteristic is calculated. In addition, for each feature, its informativeness is calculated, i.e. how important is this or that feature in this social network. At the final stage, the results are generated, using the formula for the probability of communication between two users, derived during the investigation. Obtained as a result of the application of the method, the probability of communication between two users can be used to optimize the activities of the operative-search services and special bodies.In addition, the received degree of cohesion of two users can be interpreted as the probability of a channel of information leakage between them. The role of the user of the method can be any private or state organization that cares about the security of corporate data and commercial secrets, the operative-search service, as well as an organization that investigates cybercrimes and information security incidents. |
| format | Article |
| id | doaj-art-1867926500ee4bf785b2edba065b91cd |
| institution | DOAJ |
| issn | 1818-4243 2079-5939 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Plekhanov Russian University of Economics |
| record_format | Article |
| series | Открытое образование (Москва) |
| spelling | doaj-art-1867926500ee4bf785b2edba065b91cd2025-08-20T03:21:11ZengPlekhanov Russian University of EconomicsОткрытое образование (Москва)1818-42432079-59392018-01-0106142210.21686/1818-4243-2017-6-14-22372Estimation method of the cohesion degree for the users’ profiles of social network based on open dataValentina A. Kataeva0Igor S. Pantyukhin1Igor V. Yurin2ITMO University, Saint PetersburgITMO University, Saint PetersburgITMO University, Saint PetersburgThe purpose of research was to study the existing methods of determining the degree of cohesion of two users of social network, identifying their shortcomings and developing a new method. The research identified shortcomings of existing methods and proposed a new method for assessing the degree of cohesion of social network profiles based on open data from a social network. Under the degree of cohesion of users’ profiles is understood the probability of communication (interaction) of profile owners in real life, it is calculated for two users of the social network and expressed in percent. The work of the method is demonstrated on the example of the social network “In contact”. This method includes the sequence of the following stages: the first stage is data collection about users of the social network with API and the formation of tuples of users’ profile characteristics. A tuple of characteristics of social network profiles is the data, collected for each user, stored in a structured form.The next step is the analysis of the collected information. For each characteristic of the tuple of profiles, i.e. the possible element of interaction of users in the social network, the coefficient of cohesion by the characteristic is calculated. In addition, for each feature, its informativeness is calculated, i.e. how important is this or that feature in this social network. At the final stage, the results are generated, using the formula for the probability of communication between two users, derived during the investigation. Obtained as a result of the application of the method, the probability of communication between two users can be used to optimize the activities of the operative-search services and special bodies.In addition, the received degree of cohesion of two users can be interpreted as the probability of a channel of information leakage between them. The role of the user of the method can be any private or state organization that cares about the security of corporate data and commercial secrets, the operative-search service, as well as an organization that investigates cybercrimes and information security incidents.https://openedu.rea.ru/jour/article/view/465information securitymethodinformationmethod of accumulated frequenciessocial networkand communication of social network profilesopen datadata analysis |
| spellingShingle | Valentina A. Kataeva Igor S. Pantyukhin Igor V. Yurin Estimation method of the cohesion degree for the users’ profiles of social network based on open data Открытое образование (Москва) information security method information method of accumulated frequencies social network and communication of social network profiles open data data analysis |
| title | Estimation method of the cohesion degree for the users’ profiles of social network based on open data |
| title_full | Estimation method of the cohesion degree for the users’ profiles of social network based on open data |
| title_fullStr | Estimation method of the cohesion degree for the users’ profiles of social network based on open data |
| title_full_unstemmed | Estimation method of the cohesion degree for the users’ profiles of social network based on open data |
| title_short | Estimation method of the cohesion degree for the users’ profiles of social network based on open data |
| title_sort | estimation method of the cohesion degree for the users profiles of social network based on open data |
| topic | information security method information method of accumulated frequencies social network and communication of social network profiles open data data analysis |
| url | https://openedu.rea.ru/jour/article/view/465 |
| work_keys_str_mv | AT valentinaakataeva estimationmethodofthecohesiondegreefortheusersprofilesofsocialnetworkbasedonopendata AT igorspantyukhin estimationmethodofthecohesiondegreefortheusersprofilesofsocialnetworkbasedonopendata AT igorvyurin estimationmethodofthecohesiondegreefortheusersprofilesofsocialnetworkbasedonopendata |