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題名 Analysis of users` behavior on Web 2.0 social network sites: An empirical study
作者 Horng, S.-M.
洪叔民
貢獻者 企管系
關鍵詞 The number of Social Network Sites (SNS) on Web 2.0 sites has been growing rapidly in recent years. This study analyzes data from three SNS in Taiwan. Several important measures available on Google Analytics are identified through interviews with the founders of the SNS and their daily data are collected. After removing outliers, correlation among measures and multiple regressions, analysis provides rationales for identifying several common users` behavior patterns. One of the case companies is further divided into member and non-member users, and into before and after a business model change. The statistical results for these two comparisons demonstrate the significant connections between users` behavior on SNS and the data collected from Google Analytics. © 2010 IEEE.
日期 2010
上傳時間 29-Jun-2015 18:00:07 (UTC+8)
關聯 ITNG2010 - 7th International Conference on Information Technology: New Generations, 2010, 論文編號 5501735, Pages 454-459, 7th International Conference on Information Technology - New Generations, ITNG 2010; Las Vegas, NV; United States; 12 April 2010 到 14 April 2010; 類別編號E3984; 代碼 81329
資料類型 conference
DOI http://dx.doi.org/10.1109/ITNG.2010.248
dc.contributor 企管系
dc.creator (作者) Horng, S.-M.
dc.creator (作者) 洪叔民zh_TW
dc.date (日期) 2010
dc.date.accessioned 29-Jun-2015 18:00:07 (UTC+8)-
dc.date.available 29-Jun-2015 18:00:07 (UTC+8)-
dc.date.issued (上傳時間) 29-Jun-2015 18:00:07 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/76134-
dc.relation (關聯) ITNG2010 - 7th International Conference on Information Technology: New Generations, 2010, 論文編號 5501735, Pages 454-459, 7th International Conference on Information Technology - New Generations, ITNG 2010; Las Vegas, NV; United States; 12 April 2010 到 14 April 2010; 類別編號E3984; 代碼 81329
dc.subject (關鍵詞) The number of Social Network Sites (SNS) on Web 2.0 sites has been growing rapidly in recent years. This study analyzes data from three SNS in Taiwan. Several important measures available on Google Analytics are identified through interviews with the founders of the SNS and their daily data are collected. After removing outliers, correlation among measures and multiple regressions, analysis provides rationales for identifying several common users` behavior patterns. One of the case companies is further divided into member and non-member users, and into before and after a business model change. The statistical results for these two comparisons demonstrate the significant connections between users` behavior on SNS and the data collected from Google Analytics. © 2010 IEEE.
dc.title (題名) Analysis of users` behavior on Web 2.0 social network sites: An empirical study
dc.type (資料類型) conferenceen
dc.identifier.doi (DOI) 10.1109/ITNG.2010.248
dc.doi.uri (DOI) http://dx.doi.org/10.1109/ITNG.2010.248