A framework for online social networking features
Social networks form a basis for maintaining social contacts, finding users with common interests, creating local content and sharing information. Recently networks have created a fundamental framework for analyzing and modeling the complex systems. Users' behavior studies and evaluates the sys...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Growing Science
2014-06-01
|
| Series: | Management Science Letters |
| Subjects: | |
| Online Access: | http://www.growingscience.com/msl/Vol4/msl_2014_145.pdf |
| _version_ | 1819147896480595968 |
|---|---|
| author | Mohsen Shafiei Nikabadi Fatemeh Maleki |
| author_facet | Mohsen Shafiei Nikabadi Fatemeh Maleki |
| author_sort | Mohsen Shafiei Nikabadi |
| collection | DOAJ |
| description | Social networks form a basis for maintaining social contacts, finding users with common interests, creating local content and sharing information. Recently networks have created a fundamental framework for analyzing and modeling the complex systems. Users' behavior studies and evaluates the system performance and leads to better planning and implementation of advertising policies on the web sites. Therefore, this study offers a framework for online social networks' characteristics. In terms of objective, this survey is practical descriptive. Sampling has been done among 384 of graduate students who have good experiences of membership in online social network. Confirmatory factor analysis is used to evaluate the validity of variables in research model. Characteristics of online social networks are defined based on six components and framework's indexes are analyzed through factor analysis. The reliability is calculated separately for each dimension and since they are all above 0.7, the reliability of the study can be confirmed. According to our research results, in terms of size, the number of people who apply for membership in various online social networking is an important index. In terms of individual preference to connect with, people who are relative play essential role in social network development. In terms of homogeneity variable, the number of people who visit their friends’ pages is important for measuring frequency variable. In terms of frequency, the use of entertainment and recreation services is more important index. In terms of proximity, being in the same city is a more important index and index of creating a sense of belonging and confidence is more important for measuring reciprocity variable. |
| first_indexed | 2024-12-22T13:37:06Z |
| format | Article |
| id | doaj.art-1b9c43b60e0b40a89830fd7bf0099f6e |
| institution | Directory Open Access Journal |
| issn | 1923-2934 1923-9343 |
| language | English |
| last_indexed | 2024-12-22T13:37:06Z |
| publishDate | 2014-06-01 |
| publisher | Growing Science |
| record_format | Article |
| series | Management Science Letters |
| spelling | doaj.art-1b9c43b60e0b40a89830fd7bf0099f6e2022-12-21T18:24:02ZengGrowing ScienceManagement Science Letters1923-29341923-93432014-06-01461107111610.5267/j.msl.2014.5.021A framework for online social networking featuresMohsen Shafiei NikabadiFatemeh MalekiSocial networks form a basis for maintaining social contacts, finding users with common interests, creating local content and sharing information. Recently networks have created a fundamental framework for analyzing and modeling the complex systems. Users' behavior studies and evaluates the system performance and leads to better planning and implementation of advertising policies on the web sites. Therefore, this study offers a framework for online social networks' characteristics. In terms of objective, this survey is practical descriptive. Sampling has been done among 384 of graduate students who have good experiences of membership in online social network. Confirmatory factor analysis is used to evaluate the validity of variables in research model. Characteristics of online social networks are defined based on six components and framework's indexes are analyzed through factor analysis. The reliability is calculated separately for each dimension and since they are all above 0.7, the reliability of the study can be confirmed. According to our research results, in terms of size, the number of people who apply for membership in various online social networking is an important index. In terms of individual preference to connect with, people who are relative play essential role in social network development. In terms of homogeneity variable, the number of people who visit their friends’ pages is important for measuring frequency variable. In terms of frequency, the use of entertainment and recreation services is more important index. In terms of proximity, being in the same city is a more important index and index of creating a sense of belonging and confidence is more important for measuring reciprocity variable.http://www.growingscience.com/msl/Vol4/msl_2014_145.pdfOnline social networkSocial networkWebsites |
| spellingShingle | Mohsen Shafiei Nikabadi Fatemeh Maleki A framework for online social networking features Management Science Letters Online social network Social network Websites |
| title | A framework for online social networking features |
| title_full | A framework for online social networking features |
| title_fullStr | A framework for online social networking features |
| title_full_unstemmed | A framework for online social networking features |
| title_short | A framework for online social networking features |
| title_sort | framework for online social networking features |
| topic | Online social network Social network Websites |
| url | http://www.growingscience.com/msl/Vol4/msl_2014_145.pdf |
| work_keys_str_mv | AT mohsenshafieinikabadi aframeworkforonlinesocialnetworkingfeatures AT fatemehmaleki aframeworkforonlinesocialnetworkingfeatures AT mohsenshafieinikabadi frameworkforonlinesocialnetworkingfeatures AT fatemehmaleki frameworkforonlinesocialnetworkingfeatures |