{"title":"用户在移动社交网站上的通信模式","authors":"Youngsoo Kim","doi":"10.1145/2501025.2501037","DOIUrl":null,"url":null,"abstract":"Given that users are simultaneously connected in multiple communication channels in a social networking service site (e.g., chat, message, and group message), we explore user's collective networking behavior. We collected the data from a mobile social networking site with 4.8 million registered users. The empirical estimation shows interesting results: (1) there are cross-effects across the communication channels: substitute effects for \"chat and message\" and complementary effects for \"message and group message\" and \"chat and group message\" (2) there is significant local network effect but global network effect is not observed, (3) users utilize communication channels for different purposes according to their networking activity level (conveying simple information vs. building sophisticated inter-relationship), and (4) we identify the distinct evolutionary trajectories of an individual user's networking behavior by channel: negative slopes for chat and message vs. upward trend for a group message. Our experimental study shows that we can better predict the word of mouth (WOM) effects by understanding users' collective networking behavior across diverse channels.","PeriodicalId":74521,"journal":{"name":"Proceedings of the ... IEEE/ACM International Conference on Advances in Social Network Analysis and Mining. International Conference on Advances in Social Network Analysis and Mining","volume":"67 1","pages":"12:1-12:6"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The user's communication patterns on a mobile social network site\",\"authors\":\"Youngsoo Kim\",\"doi\":\"10.1145/2501025.2501037\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Given that users are simultaneously connected in multiple communication channels in a social networking service site (e.g., chat, message, and group message), we explore user's collective networking behavior. We collected the data from a mobile social networking site with 4.8 million registered users. The empirical estimation shows interesting results: (1) there are cross-effects across the communication channels: substitute effects for \\\"chat and message\\\" and complementary effects for \\\"message and group message\\\" and \\\"chat and group message\\\" (2) there is significant local network effect but global network effect is not observed, (3) users utilize communication channels for different purposes according to their networking activity level (conveying simple information vs. building sophisticated inter-relationship), and (4) we identify the distinct evolutionary trajectories of an individual user's networking behavior by channel: negative slopes for chat and message vs. upward trend for a group message. Our experimental study shows that we can better predict the word of mouth (WOM) effects by understanding users' collective networking behavior across diverse channels.\",\"PeriodicalId\":74521,\"journal\":{\"name\":\"Proceedings of the ... IEEE/ACM International Conference on Advances in Social Network Analysis and Mining. International Conference on Advances in Social Network Analysis and Mining\",\"volume\":\"67 1\",\"pages\":\"12:1-12:6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-08-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ... IEEE/ACM International Conference on Advances in Social Network Analysis and Mining. International Conference on Advances in Social Network Analysis and Mining\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2501025.2501037\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ... IEEE/ACM International Conference on Advances in Social Network Analysis and Mining. International Conference on Advances in Social Network Analysis and Mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2501025.2501037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

考虑到用户在社交网络服务站点中同时通过多种通信渠道(如聊天、消息和群消息)进行连接,我们探讨了用户的集体网络行为。我们从一个拥有480万注册用户的移动社交网站收集数据。实证估计得出了有趣的结果:(1)跨传播渠道存在交叉效应;“聊天+消息”的替代效应和“消息+群消息”、“聊天+群消息”的互补效应(2)局部网络效应显著,全局网络效应不明显;(3)用户根据其网络活动水平(传递简单的信息与建立复杂的相互关系)不同,使用不同目的的沟通渠道;(4)我们通过渠道确定了个人用户网络行为的不同进化轨迹:聊天和消息的负斜率与群组消息的上升趋势。我们的实验研究表明,通过了解用户在不同渠道的集体网络行为,我们可以更好地预测口碑效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
The user's communication patterns on a mobile social network site
Given that users are simultaneously connected in multiple communication channels in a social networking service site (e.g., chat, message, and group message), we explore user's collective networking behavior. We collected the data from a mobile social networking site with 4.8 million registered users. The empirical estimation shows interesting results: (1) there are cross-effects across the communication channels: substitute effects for "chat and message" and complementary effects for "message and group message" and "chat and group message" (2) there is significant local network effect but global network effect is not observed, (3) users utilize communication channels for different purposes according to their networking activity level (conveying simple information vs. building sophisticated inter-relationship), and (4) we identify the distinct evolutionary trajectories of an individual user's networking behavior by channel: negative slopes for chat and message vs. upward trend for a group message. Our experimental study shows that we can better predict the word of mouth (WOM) effects by understanding users' collective networking behavior across diverse channels.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An ensemble transformer-based model for Arabic sentiment analysis Homophily and polarization on political twitter during the 2017 Norwegian election Perceptible sentiment analysis of students' WhatsApp group chats in valence, arousal, and dominance space A performant deep learning model for sentiment analysis of climate change DEES: a real-time system for event extraction from disaster-related web text
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1