2. 中国社交网络的规模 （CHINA SOCIAL MEDIA DOMINATES THE WORLD）
互联网用户
220 Million1 253 Million2
(Number of Internet users)
每周上网时间
博客数 74 Million5
7 Hrs2 14 Hrs1
107 Million6
(Avg. time spent online per week)
Number of bloggers5,6
个人意见想法的表达5
互联网用户每周看电视的时间
(Avg.have expressedusers spend
“I time Internet personal
31 hours3
56% 9 hours4
72%
opinions and/or written about
watching TV per week)
myself online”
我可以表达线下不能表达的见解5
互联网渗透率
73%1 19%2
(Internet Penetration) say and do
“Online I feel free to 32% 73%
things I wouldn’t do or say offline”
参与博客讨论的宽带用户百分比5
Percentage broadband users 28% 47%
commenting blog, chat room,
listserv or forum
Data Source: 1)The 22nd Statistical Survey Report on the Internet Development in China by CNNIC, July 2008. 2) Nielsen Netraitings, July 2008.
3) “Whichever Screen, People Are Watching”, The New York Times, July 2008. 4) China Academy of Social Sciences。
5) IAC and JWT, November 2007. 6) Boston Consulting Group, July 2008. 2
3. 博客的社会价值 (Social Value of Blog)
Sample Quote: 祈福 / Pray (link)
5月12日的汶川地震让我们这一辈子都会刻骨铭
心，这也是我第一次亲身经历地震，这次的损失
惨重，但这并不可怕，只要我们有重建家园的决
心就行，让我们都为灾区人民祈福吧！！
Prayer: Let’s pray for the victims that We will never forget the earthquake that
everything will be recovered and rebuilt. occurred on May 12th, 2008 and even though it
caused a huge amount of damage, as long as
we have the resolution to rebuild the homes,
then it is not so frightening. Let us pray for the
people living in the earthquake area!
Prayer: My heart is broken, all I can do is
pray for the other victims. In the wake of the catastrophe, blogs became a
platform for grieving and prayer for the victims
and their families. Popular blog sites like Sina
Typing keyword “pray + earthquake” on blog, Sohu blog, Blogbus all have hundreds of
NetEase Blog search, yields more than
thousands of entries discussing and sharing
53,000 blog articles on praying. (link)
personal accounts and feelings towards the
tragic event.
3
See more information about the cases, you can refer to IWOM watch Special Edition, May 2008
7. 数据计算，聚合以及分析 (Data Process) 数据计算，聚合以及分析
• 数据需要从多维度进行聚合和分析
Data need be aggregated and analyzed in different angles
– 每月有多少博客文章讨论每一个品牌
How many articles talk about each brand each month
– 每周有多少人讨论每个品牌产品
How many people talk about each product each week
– 在某一个月中谈论某一个品牌最多的10个博客是谁？
What’s the top 10 people talk about a particular brand
• 解决方案： OLAP多维数据仓库 (快速/灵活的数据分析支持)
Solution: OLAP data cube (Fast / Flexible data analysis support)
时间维度 (年/月/日)
Time Dimension
ct
du
/P 品
ro
ra /产
/ B 品牌
nd
ry /
st 业
du 行
In
博主 Blogger 7
10. 总结
中文分析存在巨大挑战， 技
技术已经相当成熟
术还未非常成熟
数据来源 文本挖掘
Data Source Text Mining
数据分析 数据可视化
Data Analysis Data Visualization
OLAP解决方案 多种技术可以运用, 取决于具
体的分析目标
10
11. OUR BLOGS:
Company Blog: http://www.seeisee.com (Chinese)
CEO Blog: http://www.seeisee.com/sam (English)
Tech Blog: http://blog.csdn.net/cictech
OUR WEBSITE: Thank You
www.cicdata.com
CONTACT US:
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