The Evolution and Application of Network Analysis Methods
Social network is a reflection of a social structure, composed of actors and one or several kinds of their mutual ties. Social Network Analysis (SNA), matured in 1970s, is a piece of art and technology quantitatively analyzing social relations. Dynamic Network Analysis (DNA), proposed in 2002, integ...
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creator | Tian Ruya Ma Ning Li Qianqian Liu Yijun |
description | Social network is a reflection of a social structure, composed of actors and one or several kinds of their mutual ties. Social Network Analysis (SNA), matured in 1970s, is a piece of art and technology quantitatively analyzing social relations. Dynamic Network Analysis (DNA), proposed in 2002, integrates Social Network Analysis, Link Prediction, Multi-Agent Simulation methods and technology, and its core is the information collection, data processing and relationship forecasts and so on. Super network, proposed in the same year, refers to the above and beyond existing network, which has characteristics as multi-layer, multi-level, multi-dimensional, multi-attribute, congestion, and coordination. We have the techniques, tools and indicators of the three network analysis methods collated and summarized, and applied in opinion leader identification. The results proved that to identify and judge opinion leaders, especially the negative ones, with social network analysis, dynamic network analysis and super network analysis played a certain role in controlling network development, from the network behavior. |
doi_str_mv | 10.1109/SMC.2013.376 |
format | Conference Proceeding |
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Social Network Analysis (SNA), matured in 1970s, is a piece of art and technology quantitatively analyzing social relations. Dynamic Network Analysis (DNA), proposed in 2002, integrates Social Network Analysis, Link Prediction, Multi-Agent Simulation methods and technology, and its core is the information collection, data processing and relationship forecasts and so on. Super network, proposed in the same year, refers to the above and beyond existing network, which has characteristics as multi-layer, multi-level, multi-dimensional, multi-attribute, congestion, and coordination. We have the techniques, tools and indicators of the three network analysis methods collated and summarized, and applied in opinion leader identification. 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The results proved that to identify and judge opinion leaders, especially the negative ones, with social network analysis, dynamic network analysis and super network analysis played a certain role in controlling network development, from the network behavior.</description><subject>Analytical models</subject><subject>DNA</subject><subject>Dynamic Network Analysis</subject><subject>Educational institutions</subject><subject>Indexes</subject><subject>Internet</subject><subject>opinion leader</subject><subject>Social Network Analysis</subject><subject>Social network services</subject><subject>Sociology</subject><subject>Supernetwork</subject><issn>1062-922X</issn><issn>2577-1655</issn><isbn>1479906522</isbn><isbn>9781479906529</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjr1OwzAYAA0CibSwsbH4BRL8ff6rxygqBamFgSKxVU5sq4aQRHEA9e2pgOl0y-kIuQZWADBz-7ypCmTAC67VCZmB0MYwJRFPSYZS6xyUlGckA6YwN4ivF2SW0htjyAQsMmK2e0-XX337OcW-o7ZztByGNjb21_tAH_303Y_vtOxse0gx0Y2f9r1Ll-Q82Db5q3_Oycvdclvd5-un1UNVrvMIWk651xgkcgcMtOAA0nF3fNQyGMVFw2oUSjY-WFeDtQtTu6N54bRgrPYB-Zzc_HWj9343jPHDjoed0oiAhv8Akl5HDw</recordid><startdate>201310</startdate><enddate>201310</enddate><creator>Tian Ruya</creator><creator>Ma Ning</creator><creator>Li Qianqian</creator><creator>Liu Yijun</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201310</creationdate><title>The Evolution and Application of Network Analysis Methods</title><author>Tian Ruya ; Ma Ning ; Li Qianqian ; Liu Yijun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-e72f523d101743115d3d79975f9634c0b2465cefadb1aa89bd5cee4d7400bef23</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Analytical models</topic><topic>DNA</topic><topic>Dynamic Network Analysis</topic><topic>Educational institutions</topic><topic>Indexes</topic><topic>Internet</topic><topic>opinion leader</topic><topic>Social Network Analysis</topic><topic>Social network services</topic><topic>Sociology</topic><topic>Supernetwork</topic><toplevel>online_resources</toplevel><creatorcontrib>Tian Ruya</creatorcontrib><creatorcontrib>Ma Ning</creatorcontrib><creatorcontrib>Li Qianqian</creatorcontrib><creatorcontrib>Liu Yijun</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Tian Ruya</au><au>Ma Ning</au><au>Li Qianqian</au><au>Liu Yijun</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The Evolution and Application of Network Analysis Methods</atitle><btitle>2013 IEEE International Conference on Systems, Man, and Cybernetics</btitle><stitle>smc</stitle><date>2013-10</date><risdate>2013</risdate><spage>2197</spage><epage>2201</epage><pages>2197-2201</pages><issn>1062-922X</issn><eissn>2577-1655</eissn><eisbn>1479906522</eisbn><eisbn>9781479906529</eisbn><coden>IEEPAD</coden><abstract>Social network is a reflection of a social structure, composed of actors and one or several kinds of their mutual ties. Social Network Analysis (SNA), matured in 1970s, is a piece of art and technology quantitatively analyzing social relations. Dynamic Network Analysis (DNA), proposed in 2002, integrates Social Network Analysis, Link Prediction, Multi-Agent Simulation methods and technology, and its core is the information collection, data processing and relationship forecasts and so on. Super network, proposed in the same year, refers to the above and beyond existing network, which has characteristics as multi-layer, multi-level, multi-dimensional, multi-attribute, congestion, and coordination. We have the techniques, tools and indicators of the three network analysis methods collated and summarized, and applied in opinion leader identification. The results proved that to identify and judge opinion leaders, especially the negative ones, with social network analysis, dynamic network analysis and super network analysis played a certain role in controlling network development, from the network behavior.</abstract><pub>IEEE</pub><doi>10.1109/SMC.2013.376</doi><tpages>5</tpages></addata></record> |
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subjects | Analytical models DNA Dynamic Network Analysis Educational institutions Indexes Internet opinion leader Social Network Analysis Social network services Sociology Supernetwork |
title | The Evolution and Application of Network Analysis Methods |
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