“大鹏观察”是 @dapeng 在 steemit 发起的活动,每周一期,旨在对用户数据进行分析,以期得到一些有用有趣的结果,对用户本人在区块链上的活动具有一定的纪念意义和参考价值。使用的数据来源是 steemdata.com,数据获取、分析、图表制作、报告编写全程使用人见人爱的 R 语言。仅供参考,如果与官方有出入,请以官方为准。
对哪些用户进行分析呢?这就需要你的参与了。从本期活动开始,我们采用新的报名方式: 只接受自荐。如果希望下一期对你自己的用户数据进行分析,那么在最新一期的“大鹏观察”上点赞(Upvote)和留言(Reply)即可。被顶次数最多、位置最靠上的 ID,将是我们下一期的故事主角。
大家对活动有什么建议,也欢迎提出来,毕竟现在的数据分析还很粗浅,将来可供拓展的方向很多。
“大鹏观察”第 2 期,故事的主角是 @htliao。看到有朋友开始为知名 ID 写人物志,受其启发,从本期开始,我们稍微换了一下报告方式,那就是——
Steem 史记: @htliao 列传
@htliao 者,Hong Kong 人氏,活跃于东八区。由于本文涉及的时间均采用标准时区 UTC,换算成该时区均需加上 8 小时。
话说那是个载入史册的时刻: 2017-05-09 15:49:57。乾坤混沌,天地苍茫,每个人都不知道 steem 未来的方向在哪里,不知何去何从。就在这时,某个角落,传来一声婴儿的响亮啼哭。 作为这个世界的第 153668 个生命,@htliao 降生了。
光阴荏苒,如今已是 2017-08-23 10:20:07, Steem 全网注册用户总数已有 313550 个,全网发帖总数已经有 1712778 篇。在这茫茫人海里, @htliao 有过哪些壮举和作为?
This is a report of the Steemit ID @htliao. The data were sampled from https://steemdata.com/ at 2017-08-23 10:20:07, when there were in total 313550 accounts and 1712778 posts on Steem. Data were processes and this report was written in R language.
@htliao 的基本信息 Profile
items | info | |
---|---|---|
name | htliao | |
id | 153668/313550 | |
created | 2017-05-09 15:49:57 | |
profile_image | ||
about | Steemit Team HK curator | Gemini. A 20 sth boy with lots of interests and energy. I blog about travel, food, cryptocurrency and drawing |
location | Hong Kong | |
website | NULL | |
post_count | 2582 | |
available_STEEM | 0 | |
available_SBD | 5.935 | |
available_VESTS | 7000753.153246 | |
reputation | 20989959785722 | |
followers_count | 1220 | |
following_count | 465 |
帖中之最 Top Posts
自诞生后,@htliao 就对这个世界发出了自己独特的声音,共发帖 134 篇。我们来看看 @htliao 发布的帖子里的几个第一名。
In this section we listed @htliao's top posts.
字符最多的帖子 Top post with the most characters.
插图最多的帖子 Top post with the most figures.
- 我的深圳一日遊,含 33 张图片。
修改间隔最长的帖子 Top post with the longest time between the publication and the final edit.
- My Silver Coins Collection #7 我的銀幣收藏 #7,发布 136.5 小时即 5.7 天之后,作者做了最后一次修改。
得票数最多的帖子 Top post with the most upvotes.
赚钱最多的帖子 Top post with the most payout value.
帖子里出现最多的关键词 Key words
下面是 @htliao 所有帖子里出现的字符长度超过2个的中文关键词词云图。字符越大,在 @htliao 帖子里出现次数就越多。
粉丝情况 Followers and following
@htliao 广结四海英雄,有 1220 个追随者,@htliao 关注的 ID 总数是 465。其中,有 205 个 ID 跟 @htliao 是双向关注的,而 260 个ID 虽然被 @htliao 关注,但却没有关注 @htliao 。
@htliao had 1220 followers. @htliao followed 465 ID in total, in which 205 IDs interacted with @htliao bidirectionally, while 260 IDs did not follow @htliao.
若问上图中红色和蓝色区域的名单,请使用 @dapeng 开发的在线小工具 steemr。
随着朋友数量的变化, @htliao 逐渐积累着江湖声望。下面是声望值增长的时间趋势。
发帖 Posts
下图是 @htliao 的发帖时间图,图里每个点代表一篇帖子,往左水平看对应的是发帖的时刻,往下垂直看是发帖的日期。图中使用的标准时区 UTC。
The following figure shows @htliao's active time. The green line indicates @htliao's register time on Steem.
下图是个特殊的时钟,一圈是24小时,显示了 @htliao 一天24小时里发帖的频次,面积越大的时段,发帖数就越多。红线显示的是频次分布:每两条相邻红线之间的帖子数,占全部帖子数的 25%。哪两条红线最接近,哪两条红线之间就是 @htliao 发帖的高峰时段。可以发现,@htliao 除了在 18 时到 21 时(香港时间 2 时到 5 时)之间从未发过帖之外,在其他时段均有发帖活动。最活跃的时段是 10 时 到 14 时(香港时间 18 时 到 22 时)。
The figure above shows the frequency of @htliao's posts.
下图是每周累计发帖总数。在 2017 年 6 月发帖最多,高峰期每周发帖超过了 25 篇。
留言 Reply
下图是 @htliao 对别人帖子的评论(留言)时间图。蓝色点表示周一到周五,红色表示周六和周日。
下图是 @htliao 每天发布评论的时刻统计。24 小时均有评论活动!仍然是在香港时间的晚上比较频繁。
下图是每周发表的评论总数。仍然是 6 月份达到高峰的每周超过 1000 条评论。
点赞 Vote
下图是 @htliao 发布投票(点赞)的时间趋势图。
The following figure shows @htliao's active vote time.
下图是 @htliao 点赞的24小时分布图。点赞活动主要集中在香港时间的晚上,其次是在香港时间的上午 8 时 到 12 时之间。
每周点赞总数:
帖子的质量和收入 Quality and money
下面的数据表格是 @htliao 发帖的首选分区的次数。@htliao 发帖最多的圈子是 'chainbb-general'。
The table below shows the categories (the first tags) of @htliao's posts. @htliao posted most posts in 'chainbb-general'.
category | Freq |
---|---|
bitcoin | 2 |
chainbb-general | 35 |
chainbb-suggestions | 1 |
charity | 2 |
cn | 26 |
cn-conspiracy | 1 |
cn-cryptocurrency | 4 |
cn-food | 1 |
cn-money | 5 |
cn-silver | 2 |
colorchallenge | 4 |
conspiracy | 1 |
cryptocurrency | 4 |
curation | 1 |
digibyte | 1 |
drawing | 3 |
drawingchallenge | 1 |
eos | 1 |
ethereum | 2 |
food | 15 |
gold | 2 |
introduceyourself | 3 |
life | 3 |
news | 1 |
silver | 2 |
steem | 1 |
steemit | 6 |
travel | 3 |
treetuesday | 1 |
现在我们来谈谈钱。下图显示的是单篇帖子收入的分布。横坐标是美元,阴影面积越大,对应美元的帖子数量越多。 @htliao 共发帖 134篇,总收入为 3446.29 SBD, 单帖收入最高为320.6 SBD,平均每帖收入为25.72 SBD。
Now let's talk about money. The figure below shows the dollars @htliao got from each post. Averagely @htliao earned 25.72 dollars per post, with the maximum of 320.6 dollars from one post.
下图显示的是每帖收入的时间趋势。高峰期每周收入超过 900 SBD。
The figure below shows the trend of @htliao's money per post.
下图是 @htliao 帖子获得的投票(点赞)数。 @htliao 累计得赞 10021 个,单帖得到的点赞数最高为 2314 个,平均每帖得赞 74.8 个。
The figure below shows the upvote number of each post. Averagely @htliao earned 74.8 upvotes per post, with the maximum of 2314 upvotes.
下图是平均每赞得到的收益 SBD 的时间趋势。
下图是每周收入总和的时间趋势。
为 @htliao 帖子得到的投票次数最多的前三位伯乐是 @susanlo, @cryptoemperor, @yvonnetse。下面为 @htliao 帖子得到的投票次数超过 20 次的 ID 词云图。
为 @htliao 帖子收益贡献最多的前三位伯乐/金主/贵人是 @abit, @linuslee0216, @nicolemoker。他们一共贡献了 @htliao 全部收入的 56%。
感谢关注“大鹏观察”。欢迎参加下一期的活动,也欢迎提出宝贵意见。谢谢。
您也许对以下帖子感兴趣:
- 大鹏观察 A0:Steem 史记 @tumutanzi 前传 1, 前传 2,前传 3。
- 大鹏观察 A1:Steem 史记 @justyy 列传。
- 大鹏观察 P1:谷哥点名第 1 期“精彩瞬间”回顾
有人想當下一個嗎?
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是不是这次披露得太多,大家不敢报名了?如果有不妥当的地方,请一定告诉我,我来修改或者删除。
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大鵬哥介紹的都是名人,無名小卒不敢報名呀!
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这倒不用担心,一经介绍,就从无名小卒变成了名人, @tumutanzi 就是先例(看这里),哈哈。
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@tumutanzi早已經是名人呀!
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但是因为他留的这个言,所以成名就归功于我了 😜
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大鵬兄是金牌經理人呀!
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是啊,趁着现在金牌经理人比较闲,赶紧报名!
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那你是想報名嗎?
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要到達3巨頭之一的@htliao的境界,我估計還需要3年時間,到時我會報名的。
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沒有這麽久吧......
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對,我其實是想打2年的。
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感觉你要将CN区的牛人们一个个挖遍啊。
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坛子哥是不是还没被观察过,哈哈。
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坛子哥是第一个被观察的。我为坛子哥写了三篇帖子。
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三篇,看了你很爱坛子哥啊。
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是,所以先拿他开刀!
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底裤都被他扒光了。
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去拜读一下,哈哈。
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不论牛不牛,只要自愿报名,就挖。
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这真是一个疯狂的人啊,24小时在线。。。。
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......沒有那麼誇張啦。
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哈哈,自然是香港时间晚上发帖比较多,不过你确实够working hard的。厉害厉害
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年轻人嘛。我记得自己20岁的时候,也经常连续24小时不睡觉,然后呼呼大睡。现在不行了。
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根据htliao帖子里出现最多的关键词 Key words,可以判断这是个理工科宅男,学过拓扑学,专注于计算机通信等专业,而且目前没有女朋友,买过比特币。
不知道当事人是否同意以上观点。
基于我今天第一次知道这个htliao的id和大鹏的数据分析结果。
其它规律挖一挖肯定还有很多金子。
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目前没有女朋友...
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htliao 是 steem 香港的重要人物。我在 steem 混的时间也不长,不太了解,但是目前没有女朋友?这是怎么判断出来的?
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有女朋友就搂着睡觉去了……
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瞧你这大叔的境界!有女朋友不一定同居啊。
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有女朋友的话,需要占住不少时间和精力。
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那倒是。有孩子的话......
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哇塞 评论好劲爆呀
你们这些大叔比我还八卦。。。
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都点你的名。你要不要顺应天意报个名?
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哇塞 感觉份量不够啊 分析完发现我只会吃喝玩乐 多尴尬
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就算我不分析,数据就在哪儿摆着啊,要想人不知除非己莫为啊
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这些对你来说还不是小儿科?口味估计还不够重吧。
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你看他的关键词里面全是中性和偏男性的词,每一个感性的、妩媚的、阴柔的词语,这不是一个有女朋友的人的关键词,就算是有,估计也不在热恋。
大家可以请htliao来现身说法。
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有道理。这是我头一回展示个人帖子的关键词。其实数据展示起来容易,难在解释。
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是滴,数据收集和分析可以机器化,但困难的是建模和解释。
这个应该是在计算语言学里面文本分析的研究内容。
现在的人工智能已经在朝着推理和总结的方向发展了,IBM的沃森在读完了诺贝尔文学奖的那个鲍勃迪伦的所有歌词后,说他的感受是,我看到了逝去的爱情和沧桑的人生。
简直不寒而栗了。谁知道现在打字的这个会不会是机器人???
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額,誰說我沒有女朋友的?
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我错了,其实我是希望你有女朋友的。现在知道你有女朋友了,我就放心了。
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放心吧 LOL 真傷心給人的印象就是個宅男...... :(
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😂😂😂😂😂😂
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通过分析在线时间,得出没有女朋友 ,属于社会工程学了
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分析的太全面了。哈哈
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你要不要来报个名?大家对你的呼声很高呢!
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@jubi,你不是说要报名的么?
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@jubi就選你了,你同意嗎?
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下一期的报告结构跟本期完全一样。
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很有趣的報告!
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寓教于乐!
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到我有@htliao的程度時,我也會報名的。
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Awesome Post! you did a lot of research, I'll upvote you! Keep it up!
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Thank you!
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满足咱一颗八卦的♥
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这下你开心了吧!
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强烈要求下一个点 汉娜姐。
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需要本人自愿报名才算数。可以指定哪些信息不愿意披露,我不写出来就行了。其实数据都在那儿晾着,谁都能看得到......
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@jubi 报名了啊?好期待黄大帅啊!!!
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没有。不如你自己报名吧!
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我去喊他,八卦的心停不了 哈哈哈。我推荐jubi
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这数据好全面
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还可以继续深挖
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太有意思了
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谢谢关注!
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数据库先生
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女士你好!
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棒棒哒
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谢谢啦
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居然还可以这样写!你让我开了眼界了,老乡!
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开眼不开眼无所谓,开怀开心就好。
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下一个汉娜wu,妥妥的
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STOP
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强大的数据分析
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全归功于强大的 R 语言。
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分析的好深刻
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分析的好全面啊,厉害!下一个推荐 @hannahwu 哈哈
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哈,这个让我想到了网易云音乐在2017年初的时候做的一个H5页面,我博客上还介绍过呢,H5页面传送门。来个厉害的UI,就能根据数据生成专属信息图啦。
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不错!我做的这个 http://steemr.org 其实也是类似的性质。从技术上来说,目前“大鹏观察”报告完全能实现在网站上输入个 id就自动生成本文这样的报告,但是这样一个网站需要资金维持。将来本系列如果做大了拉到赞助,我就给大家做一个。
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