Mapping physician Twitter networks: describing how they work as a first step in understanding connectivity, information flow, and message diffusion.
Mapping physician Twitter networks: describing how they work as a first step in understanding connectivity, information flow, and message diffusion.
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映射医师Twitter网络：描述它们如何作为理解连接性，信息流和消息扩散的第一步。
DOI：
10.2196/jmir.3006
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发表时间：
2014-04-14
影响因子：
7.4
通讯作者：
Newport C
中科院分区：
文献类型：
--
作者：
Mishori R;Singh LO;Levy B;Newport C
Twitter正在成为医学领域的一个重要工具，但有关Twitter指标的信息却很少。为了推荐信息传播和扩散的最佳做法，重要的是首先研究和分析网络。本研究描述了四种医疗网络的特点，分析了它们的理论传播潜力、实际传播潜力以及推文的传播和分布。公开的Twitter数据被用来描述四个网络：美国医学协会（AMA）、美国家庭医生学会（AAFP）、美国儿科学会（AAP）和美国医师学会（ACP）。数据收集于2012年7月至2012年9月。可视化被用来理解群体之间的追随者重叠。评估了每组推文的实际流量。Twitter数据聚合器Topsy对推文进行了检查。理论信息对群体的传播潜力很大。一个集体社区正在形成，很大比例的个人跟随一个以上的团体。群体间的重叠很小，表明群落凝聚力和杂交受精的数量有限。AMA追随者网络不像其他网络那么活跃。美国医学协会发布的推文数量最多，而美国儿科学会发布的推文最少。每个组织的转发数量都很低，表明传播远远低于其潜力。为了增加传播潜力，医疗团体应该发展一个更有凝聚力的共同追随者社区。推文内容必须引人入胜，以提供转发和接触潜在受众的钩子。下一步需要进行内容分析，评估发送者和接收者的行为和行动，并进行一项更大规模的研究，考虑使用Twitter的其他医疗团体。
Twitter is becoming an important tool in medicine, but there is little information on Twitter metrics. In order to recommend best practices for information dissemination and diffusion, it is important to first study and analyze the networks. This study describes the characteristics of four medical networks, analyzes their theoretical dissemination potential, their actual dissemination, and the propagation and distribution of tweets. Open Twitter data was used to characterize four networks: the American Medical Association (AMA), the American Academy of Family Physicians (AAFP), the American Academy of Pediatrics (AAP), and the American College of Physicians (ACP). Data were collected between July 2012 and September 2012. Visualization was used to understand the follower overlap between the groups. Actual flow of the tweets for each group was assessed. Tweets were examined using Topsy, a Twitter data aggregator. The theoretical information dissemination potential for the groups is large. A collective community is emerging, where large percentages of individuals are following more than one of the groups. The overlap across groups is small, indicating a limited amount of community cohesion and cross-fertilization. The AMA followers’ network is not as active as the other networks. The AMA posted the largest number of tweets while the AAP posted the fewest. The number of retweets for each organization was low indicating dissemination that is far below its potential. To increase the dissemination potential, medical groups should develop a more cohesive community of shared followers. Tweet content must be engaging to provide a hook for retweeting and reaching potential audience. Next steps call for content analysis, assessment of the behavior and actions of the messengers and the recipients, and a larger-scale study that considers other medical groups using Twitter.
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影响因子：
3.6
作者：
Goldenberg, J;Libai, B;Muller, E
通讯作者：
Muller, E
影响因子：
7.4
作者：
Ayers JW;Althouse BM;Allem JP;Ford DE;Ribisl KM;Cohen JE
通讯作者：
Cohen JE
影响因子：
7.4
作者：
Chou WY;Hunt YM;Beckjord EB;Moser RP;Hesse BW
通讯作者：
Hesse BW
影响因子：
1.9
作者：
Neiger, Brad L.;Thackeray, Rosemary;Fagen, Michael C.
通讯作者：
Fagen, Michael C.
影响因子：
4.7
作者：
De la Torre-Diez, Isabel;Javier Diaz-Pernas, Francisco;Anton-Rodriguez, Miriam
通讯作者：
Anton-Rodriguez, Miriam