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Online Music Community System based on SNM.

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Title: Online Music Community System based on SNM.
Authors: Wang Yunjing1, Marzagalia, Leonardo2
Source: Journal of Multimedia. Oct2013, Vol. 8 Issue 5, p459-467. 9p.
Subjects: Digital music, Simple Network Management Protocol (Computer network protocol), Social networks, Betweenness relations (Mathematics), Community organization, Consumers
Abstract: Currently, the community structure algorithms proposed by most scholars are contraposing un-weighted network, while there still lacks research on the discovery of weighted network community. In un-weighted networks, the relation between the nodes is simplified as two states, which will neglect too much valuable information. To construct more actual structure of mined community, a novel discovery algorithm for weighted network community is put forward. The social network technology is implemented to a music forum. It can find out the social relation and interactive behavior of users in the music forum, to help the music resource to find suitable consumers. The music community system using social network mining is based on extracted replying and quoting information of users. For the user social network and topic social network of forum, two social network mining methods are proposed: One is applied to the user social network mining, which can find out the use groups who have similar interest in network; The other is applied to the topic social network mining, based on merging idea of weighted network community, and it can find out the similar groups of hot topics. Finally the mining process of network relationship in a certain music forum is described in detail as an example and it has verified the effectiveness of mining results. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Multimedia is the property of Academy Publisher and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Online Music Community System based on SNM.
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  Data: <searchLink fieldCode="AR" term="%22Wang+Yunjing%22">Wang Yunjing</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Marzagalia%2C+Leonardo%22">Marzagalia, Leonardo</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Multimedia%22">Journal of Multimedia</searchLink>. Oct2013, Vol. 8 Issue 5, p459-467. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Digital+music%22">Digital music</searchLink><br /><searchLink fieldCode="DE" term="%22Simple+Network+Management+Protocol+%28Computer+network+protocol%29%22">Simple Network Management Protocol (Computer network protocol)</searchLink><br /><searchLink fieldCode="DE" term="%22Social+networks%22">Social networks</searchLink><br /><searchLink fieldCode="DE" term="%22Betweenness+relations+%28Mathematics%29%22">Betweenness relations (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Community+organization%22">Community organization</searchLink><br /><searchLink fieldCode="DE" term="%22Consumers%22">Consumers</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Currently, the community structure algorithms proposed by most scholars are contraposing un-weighted network, while there still lacks research on the discovery of weighted network community. In un-weighted networks, the relation between the nodes is simplified as two states, which will neglect too much valuable information. To construct more actual structure of mined community, a novel discovery algorithm for weighted network community is put forward. The social network technology is implemented to a music forum. It can find out the social relation and interactive behavior of users in the music forum, to help the music resource to find suitable consumers. The music community system using social network mining is based on extracted replying and quoting information of users. For the user social network and topic social network of forum, two social network mining methods are proposed: One is applied to the user social network mining, which can find out the use groups who have similar interest in network; The other is applied to the topic social network mining, based on merging idea of weighted network community, and it can find out the similar groups of hot topics. Finally the mining process of network relationship in a certain music forum is described in detail as an example and it has verified the effectiveness of mining results. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Journal of Multimedia is the property of Academy Publisher and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.4304/jmm.8.5.459-467
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      – Code: eng
        Text: English
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        PageCount: 9
        StartPage: 459
    Subjects:
      – SubjectFull: Digital music
        Type: general
      – SubjectFull: Simple Network Management Protocol (Computer network protocol)
        Type: general
      – SubjectFull: Social networks
        Type: general
      – SubjectFull: Betweenness relations (Mathematics)
        Type: general
      – SubjectFull: Community organization
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      – SubjectFull: Consumers
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      – TitleFull: Online Music Community System based on SNM.
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              M: 10
              Text: Oct2013
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              Y: 2013
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