摘要
近年来,Twitter上科技创新传播成为图书情报学界关注的热点主题,以网络科学思维探索科技创新在不同用户之间的传播路径,可以识别用户在传播过程中扮演的传播角色,揭示用户传播行为特征。本研究基于Twitter用户真实的传播数据,基于内容分析法对用户类型进行编码,将其划分7种类型。以用户为节点,可视化分析科技创新主题领域传播网络,通过计算网络结构参数,从信息交互视角出发,探索不同类型用户的传播行为特征及其扮演的传播角色。研究结果表明,科研用户是科技创新传播的主力军,期刊杂志传播参与度最高;科技论文创新成果传播方向是从科学界到社会公众,从权威用户到普通用户。传播网络中,信源呈现极富和极穷的现象;不同类型的用户信息交互能力较差。研究发现盲目提高发布信息源的数量,容易增加传播机会成本,可以适当增加具有号召力的领袖信源的数量。另外,增强网络社群中信源的信息交互能力,也可以提高科技创新的传播与普及的范围。
In recent years,the dissemination of scientific and technological innovation information on Twitter has become a hot topic of discussion in the field of Library and Information Science.Exploring the communication channels used by different users to discuss scientific and technological innovation through network scientific thinking can help identify the role of users in the communication process and reveal the characteristics of users’communication behavior.Based on real communication data of Twitter users,this research encoded the types of users identified through content analysis,and divided them into seven types.Representing users as nodes,we visualized and analyzed the communication network in the subject area of scientific and technological innovation.By calculating the network structure parameters,we identified the communication behavior characteristics of different types of users and their communication roles.The results showed that,scientific researchers were the main actors in the dissemination of information about scientific and technological innovation,and journals and magazines had the highest degree of participation in communication.The direction of communication regarding scientific and technological innovation was from the scientific community to the public,from authoritative users to ordinary users.In the communication network,the information sources were either extremely rich or extremely poor;the capacity of information interaction between different types of users was poor.We found that blindly increasing the number of information sources could easily increase the opportunity cost of communication.Instead,we recommend appropriately increasing the number of high-quality information sources that are genuine and well-respected.In addition,enhancing the information interaction ability of the sources in the network community can also improve the scope of dissemination and popularization of scientific and technological innovation information.
作者
祝娜
王芳
Zhu Na;Wang Fang(Department of Information Resource Management,School of Computer Science,Southwest University,Chongqing 400715;Department of Information Resources Management,Business School,Nankai University,Tianjin 300001)
出处
《情报学报》
CSSCI
CSCD
北大核心
2020年第12期1340-1353,共14页
Journal of the China Society for Scientific and Technical Information
基金
南开大学“百名青年学科带头人培养计划”团队建设项目“网络空间治理研究”
提升政府治理能力大数据应用技术国家工程实验室2017—2018年度开放基金重点支持项目“基于NLP和深度学习的大规模政府公文智能化处理技术研究”(HX20180070)
国家社科基金重大项目“基于数据共享与知识复用的数字政府智能化治理研究”(20ZDA039)。
关键词
用户类型
科技创新
信息交互
传播行为
传播角色
user type
technological innovation
information interaction
communication behavior
communication role
