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Social Network Mining (SNM): A Definition of Relation between the Resources and SNA

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@article{IJASEIT1390,
   author = {Mahyuddin K. M. Nasution},
   title = {Social Network Mining (SNM): A Definition of Relation between the Resources and SNA},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {6},
   number = {6},
   year = {2016},
   pages = {975--981},
   keywords = {extraction, vertex, edge, actor, multiple regression, α-Cronbach.},
   abstract = {

Social Network Mining (SNM) has become one of the main theme in big data agenda. As resultant network, we can extract social network from different sources of information, but the information sources was growing dynamically require a flexible approach. To determine the appropriate approach needs the data engineering in order to get the behavior associated with the data. Each social network has the resources and the information source, but the relationship between resources and information sources requires explanation. This paper aimed to address the behavior of the resource as a part of social network analysis (SNA) in the growth of social networks by using the statistical calculations to explain the evolutionary mechanisms. To represent the analysis unit of the SNA, this paper only considers the degree of a vertex, where it be the core of all the analysis in the SNA and it be basic for defining relation between resources and SNA in SNM. There is a strong effect on the growth of the resources of social networks. In total, the behavior of resources has positive effect. Thus, different information sources behave similarly, and have relations with SNA.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1390},    doi = {10.18517/ijaseit.6.6.1390} }

EndNote

%A Nasution, Mahyuddin K. M.
%D 2016
%T Social Network Mining (SNM): A Definition of Relation between the Resources and SNA
%B 2016
%9 extraction, vertex, edge, actor, multiple regression, α-Cronbach.
%! Social Network Mining (SNM): A Definition of Relation between the Resources and SNA
%K extraction, vertex, edge, actor, multiple regression, α-Cronbach.
%X 

Social Network Mining (SNM) has become one of the main theme in big data agenda. As resultant network, we can extract social network from different sources of information, but the information sources was growing dynamically require a flexible approach. To determine the appropriate approach needs the data engineering in order to get the behavior associated with the data. Each social network has the resources and the information source, but the relationship between resources and information sources requires explanation. This paper aimed to address the behavior of the resource as a part of social network analysis (SNA) in the growth of social networks by using the statistical calculations to explain the evolutionary mechanisms. To represent the analysis unit of the SNA, this paper only considers the degree of a vertex, where it be the core of all the analysis in the SNA and it be basic for defining relation between resources and SNA in SNM. There is a strong effect on the growth of the resources of social networks. In total, the behavior of resources has positive effect. Thus, different information sources behave similarly, and have relations with SNA.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1390 %R doi:10.18517/ijaseit.6.6.1390 %J International Journal on Advanced Science, Engineering and Information Technology %V 6 %N 6 %@ 2088-5334

IEEE

Mahyuddin K. M. Nasution,"Social Network Mining (SNM): A Definition of Relation between the Resources and SNA," International Journal on Advanced Science, Engineering and Information Technology, vol. 6, no. 6, pp. 975-981, 2016. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.6.6.1390.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Nasution, Mahyuddin K. M.
PY  - 2016
TI  - Social Network Mining (SNM): A Definition of Relation between the Resources and SNA
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 6 (2016) No. 6
Y2  - 2016
SP  - 975
EP  - 981
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - extraction, vertex, edge, actor, multiple regression, α-Cronbach.
N2  - 

Social Network Mining (SNM) has become one of the main theme in big data agenda. As resultant network, we can extract social network from different sources of information, but the information sources was growing dynamically require a flexible approach. To determine the appropriate approach needs the data engineering in order to get the behavior associated with the data. Each social network has the resources and the information source, but the relationship between resources and information sources requires explanation. This paper aimed to address the behavior of the resource as a part of social network analysis (SNA) in the growth of social networks by using the statistical calculations to explain the evolutionary mechanisms. To represent the analysis unit of the SNA, this paper only considers the degree of a vertex, where it be the core of all the analysis in the SNA and it be basic for defining relation between resources and SNA in SNM. There is a strong effect on the growth of the resources of social networks. In total, the behavior of resources has positive effect. Thus, different information sources behave similarly, and have relations with SNA.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1390 DO - 10.18517/ijaseit.6.6.1390

RefWorks

RT Journal Article
ID 1390
A1 Nasution, Mahyuddin K. M.
T1 Social Network Mining (SNM): A Definition of Relation between the Resources and SNA
JF International Journal on Advanced Science, Engineering and Information Technology
VO 6
IS 6
YR 2016
SP 975
OP 981
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 extraction, vertex, edge, actor, multiple regression, α-Cronbach.
AB 

Social Network Mining (SNM) has become one of the main theme in big data agenda. As resultant network, we can extract social network from different sources of information, but the information sources was growing dynamically require a flexible approach. To determine the appropriate approach needs the data engineering in order to get the behavior associated with the data. Each social network has the resources and the information source, but the relationship between resources and information sources requires explanation. This paper aimed to address the behavior of the resource as a part of social network analysis (SNA) in the growth of social networks by using the statistical calculations to explain the evolutionary mechanisms. To represent the analysis unit of the SNA, this paper only considers the degree of a vertex, where it be the core of all the analysis in the SNA and it be basic for defining relation between resources and SNA in SNM. There is a strong effect on the growth of the resources of social networks. In total, the behavior of resources has positive effect. Thus, different information sources behave similarly, and have relations with SNA.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1390 DO - 10.18517/ijaseit.6.6.1390