Online social networks (OSNs) contain data about users, their relations, interests and daily activities and the great value of this data results in ever growing popularity of OSNs. There are two types of OSNs data, semantic and topological. Both can be used to support decision making processes in many applications such as in information diffusion, viral marketing and epidemiology. Online Social network analysis (OSNA) research is used to maximize the benefits gained from OSNs’ data. This paper provides a comprehensive study of OSNs and OSNA to provide analysts with the knowledge needed to analyse OSNs. OSNs’ internetworking was found to increase the wealth of the analysed data by depending on more than one OSN as the source of the analysed data.
%0 Journal Article
%1 noauthororeditor
%A E.Youssef, Bassant
%D 2014
%J International Journal of Next-Generation Networks (IJNGN)
%K Network Protocol networks wireless
%N 2
%P 14
%R 10.5121//ijngn.2014.6201
%T Online Social Network Internetworking Analysis
%U https://airccse.org/journal/ijngn/papers/6214ijngn01.pdf
%V 6
%X Online social networks (OSNs) contain data about users, their relations, interests and daily activities and the great value of this data results in ever growing popularity of OSNs. There are two types of OSNs data, semantic and topological. Both can be used to support decision making processes in many applications such as in information diffusion, viral marketing and epidemiology. Online Social network analysis (OSNA) research is used to maximize the benefits gained from OSNs’ data. This paper provides a comprehensive study of OSNs and OSNA to provide analysts with the knowledge needed to analyse OSNs. OSNs’ internetworking was found to increase the wealth of the analysed data by depending on more than one OSN as the source of the analysed data.
@article{noauthororeditor,
abstract = {Online social networks (OSNs) contain data about users, their relations, interests and daily activities and the great value of this data results in ever growing popularity of OSNs. There are two types of OSNs data, semantic and topological. Both can be used to support decision making processes in many applications such as in information diffusion, viral marketing and epidemiology. Online Social network analysis (OSNA) research is used to maximize the benefits gained from OSNs’ data. This paper provides a comprehensive study of OSNs and OSNA to provide analysts with the knowledge needed to analyse OSNs. OSNs’ internetworking was found to increase the wealth of the analysed data by depending on more than one OSN as the source of the analysed data.},
added-at = {2023-06-21T07:50:06.000+0200},
author = {E.Youssef, Bassant},
biburl = {https://www.bibsonomy.org/bibtex/20af59911955c3d2087e7d77b23cd6f45/josephjonse},
doi = {10.5121//ijngn.2014.6201},
interhash = {92f342c67b2d03fc07f9cb9d357152bd},
intrahash = {0af59911955c3d2087e7d77b23cd6f45},
issn = {ISSN : 0975-7023 Online); 0975-7252 ( Print )},
journal = {International Journal of Next-Generation Networks (IJNGN)},
keywords = {Network Protocol networks wireless},
language = {English},
month = {6},
number = 2,
pages = 14,
timestamp = {2023-09-15T08:54:23.000+0200},
title = {Online Social Network Internetworking Analysis},
url = {https://airccse.org/journal/ijngn/papers/6214ijngn01.pdf},
volume = 6,
year = 2014
}