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On the Structure, Properties and Utility of Internal Corporate Blogs Pranam Kolari Tim Finin, Yelena Yesha, Yaacov Yesha Kelly Lyons, Stephen Perelgut, Jen Hawkins
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50,000,000 Weblogs (July 2006) Doubling in size every 6 months for the past 3 years GROWTH OF BLOGS
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“WELL, YES, I COULD READ YOUR INTERNAL BLOG… OR YOU COULD JUST TELL ME ABOUT YOUR WORK DAY.”
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MOTIVATION What are the characteristics of Internal Blogs? –How are they growing? –Who uses them? –How would you quantify the nature of conversations? How does this map to Corporate Hierarchy? How to best exploit Internal Blogs? What next with tools for Internal Blogs?
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> Apache Roller Publishing Platform > Similar (less customized) platform used by Sun (Public Facing) Blogs - http://blogs.sun.com/
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Landing page lists recent entries, popular entries and *hot* blogs
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BACKGROUND Means to initiate collaboration Protection of ownership to ideas Platform for leadership emergence Audience to discuss work practices Asset to overall Internal Business Intelligence 300K 23K 4K Employees Adopters Active Users
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BACKGROUND Blog host database from November 2003 to August 2006 ~23K blogs ~48K posts, ~48K comments/trackbacks Employee Database of around ~300K Support and Feedback from the highly enthusiastic internal blogging community
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GEOGRAPHICAL SPREAD Distribution of Blog Users US leads the pack UK, CA have good adoption Japan highest among Asian Zones Rest of Asia catching up Adoption closely mirrors those seen on the external blogosphere
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GROWTH Hosted Blogs double once every 9-10 months Hosted Posts double once every 6 months Top-down guidance and organizational policies key to internal blogging adoption
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RETENTION/ATTRITION More adopters retained than lost Definition: A user who posted during a specific month is considered retained if he/she reposts at least once in the following x(6) months Ability of the community to engage and retain new users has improved significantly
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USE OF TAGS Tag use slowly growing 80% of all posts carry tags Tags per post spiked from an avg. of 1.5 to 2.5 Upgrades to publishing tools that connected tags to internal book-marking tools and new visualization tools Adoption clearly tied to utility.
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TAG USE DISTRIBUTION Typical Power Law Distribution – Some tags are popular with a long tail of less popular tags What can we draw from these two data points? Is this related to quality of a folksonomy?
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LINKING BEHAVIOR Feature Hyperlinks 60% Posts over 2 months 40% 30% 10% Feature Internal Links Feature External Links Feature Internal Blog Links Internal themes are widely discussed More conversations are through comments, few through trackbacks
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SNA BACKGROUND G(V,E) –Every user u is in V –User u commenting/trackbacking on one or more posts by user v creates an edge (u,v) 75-80% of the nodes were disconnected –Created a blog with no post –Not commented on other posts, not a recipient of comments ~4.5K Nodes ~17.5K Edges
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DEGREE DISTRIBUTION In-degree slope -1.6 Out-degree slope -1.9 Web (-2.1, -2.67) E-mail (-1.49, -2.03)
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RECIPROCITY Do bloggers hosting conversations, engage in conversations elsewhere? Plot shows average out- degree of nodes with the same in-degree Slope of close to 1, but lower (collective evangelism) Conversations are highly reciprocal – a case in point also attested by me as a user
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GLOBAL CONVERSATIONS USJPUKCAINDECNAUBR US 41.40.38.94.40.61.40.21.20.4 JP 2.14.30.50.20.00.10.00.10.0 UK 7.40.18.01.00.20.60.00.30.1 CA 4.30.11.22.60.10.20.00.20.0 IN 0.80.00.30.10.60.10.00.10.0 DE 1.10.00.50.20.10.30.00.10.0 CN 0.10.0 0.20.0 AU 1.00.00.50.10.00.10.00.30.0 BR 0.20.00.1 0.0 0.2 POST COMMENT
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GLOBAL CONVERSATIONS What is the Impact of Global Conversations? All pairs shortest path on the graph Ranked Edges by Centrality Plot ratio of inter-geography conversations in top x edges Global Conversations are key to information diffusion
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REACH/SPREAD P C(3) C(6) C(5) REACH = 3+5+6 = 14 SPREAD = 8 “Reach” measures distance between all conversations on a post independently, while “Spread” measures them together – based on the corporate hierarchy.
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REACH/SPREAD Posts with spread = 1 (Employee/Manager) quite low Spread peaks around “4” showing intra- department conversations Spread continues to be significant showing global conversations The notion of spread in addition to showing nature of conversations can also contribute to new metrics
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DERIVED METRICS Additional Ranking Measures Meme Tracking: Overall Spread of Conversations on a Post Trend Identification: Tags attached to high “meme” posts can correlate with emerging interests Thought Leaders: Authorities on topics by identifying meme and their topics
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CONCLUSION Internal Blogs gaining traction within corporations Important additional channel to collaborate across geographies “Workforce Journalism” just round the corner Emerging area for bottom-up competitive intelligence
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THANKS!
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