【公式】(Kobe Institute of Computing)神戸情報大学院大学(KIC)
神戸情報大学院大学公式アカウントです。専門職修士課程2年の大学院です。探究実践を武器に、専門的で高度なICTスキル、ICT4Dや英語力を身に着けて国内外の課題解決に挑戦しよう！4月(日本語コース)、10月(英語コース)の新入生募集中！ 『KICK BRAIN』: https://t.co/rwziSoiNfA
July 2009
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| Total # of Followers: | 766 |
| Total # of Posts: | 44 |
| Average monthly posts*: | 0.23 |
| Country Rank: | Japan |
X (Twitter) stats and metrics refer to the quantitative data and statistics that provide insights into the performance and engagement levels of a Twitter account. These metrics are important for evaluating the effectiveness of Kobe Institute of Computing's presence on the platform and understanding its reach and impact.
The total number of followers indicates the size of the audience that Kobe Institute of Computing can potentially reach through its X (Twitter) account. A higher number of followers often signifies a larger and more engaged community, which can be a strong indicator of Kobe Institute of Computing's popularity and influence in the online space.
The total number of posts (formerly tweets) reflects how active Kobe Institute of Computing is on X (Twitter). If there are very few posts, it may suggest that the page is either inactive or that Kobe Institute of Computing's social media representatives are not placing significant emphasis on this particular channel. Regular and consistent tweeting is key to maintaining an active and engaging presence.
The date of the latest post provides relevant information about the recent activity of Kobe Institute of Computing's X (Twitter) page. A recent post indicates an active and up-to-date presence. Conversely, if the latest post is significantly old, it may suggest that the Twitter page has been inactive or potentially abandoned for an extended period.
This metric quantifies how frequently Kobe Institute of Computing's social media representatives post new content (formerly known as tweeting). It serves as a starting point for analyzing the correlation between posting frequency and various engagement metrics, such as number of followers, likes, retweets and replies. Understanding this relationship can help refine Kobe Institute of Computing's content strategies for optimal audience engagement.
Read also our article about the Importance of Social Media for Universities and prospective students.
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