bearFishing where the fish are is something that bears have known for years but many folk who use Twitter seem to have forgotten. We cannot simply think our message will be heard by tweeting ourselves which is why we try and target influential people via tools like TweetLevel and BlogLevel.

However, this isn’t the only way of doing it. What I have been doing successfully over the past year is taking part in twitter chats. These are regular conversations that take place about a specific subject on twitter normally for an hour and owned by a specific hashtag.

For example,

· if you are targeting the SME market then look no further than #smallbizchat

· If you are focussing on innovation then #Innochat on Thursdays is the one for you

· Are you a small business that uses LinkedIn (client) – why not use the chat that shares best ways for businesses to use this service on #linkedinchat

My personal favourites are #influencechat and #measurepr – but suggest you look at this larger list to see which ones can help you

Any questions, just chat with me @jonnybentwood

End note: My thanks to Judy Gombita for pointing this list out to me who also wants me to plug Windmill Networking #PR column Wed, Social Capital Byte: Institutionalizing Parity in B2B Relationships

@jonnybentwood

TweetLevel and BlogLevel are two purpose built tools for the PR industry that aim to be a GPS for navigating influence. At its heart is an open and transparent algorithm that seeks to measure who is important within each social media channel.

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Resting behind the methodology are several key insights:

Influence without context is irrelevant

Understanding measurement is more than simply putting a name into an algorithm. It’s a process. If you are looking at influence, then go for Justin Bieber – however, if you are looking to get the right people to speak about you and engage on your behalf then understanding context is critical. This is what the first step in TweetLevel that we always recommend anyone follows is context. Using Boolean logic, anyone can enter a search term to identify who are currently the most influential people about a certain subject. Only when you have identified who these people can you source relevant measurement metrics. The process that it follows is:

  1. Which people have the largest share of voice about a specific search topic
  2. Ranking the top 100 people by their SOV, we then import these names into TweetLevel to identify their influence score
  3. We recommend that brands should focus on people with a score between 65 and 85. Above that score people are significant but are in the realms of the “Today Show” and PR pros must question how likely is it that their message will want to to be heard by this target.

Much as we would like to engage with every relevant person, the sad truth is that most people do not have the time or resources to do so. We therefore need to prioritise which people to focus on. This process explains how to find them.

Popularity does not equal influence

The above statement is bold and almost 100% true. I am not naive if you are popular then by default you are more likely to be influential. However, this is just one factor that can measure how important someone is. The numbers of followers someone has is interesting to me but not as key as how somebody engages in relevant conversations or create ideas that then resonate through the social web.

Engagement is not the same as activity

People have long understood the difference between broadcasting and engaging. As communication channels become more dynamic and interactive, true influence is derived by having two-way dialogues, asking questions and by posting interesting and informative content.

This is the time of the new influential – idea starters and amplifiers are both influential in their own way

If you compare the lists of top tweeters from TweetLevel with other tools on the market, there will be a marked difference in that in our lists you will see some people with comparatively few followers and yet with a higher influence score than their peers who may be extremely popular. The reason for this is that TweetLevel identifies which people create ideas which are then amplified. This isn’t to say that both types of people aren’t important but more that they are both key targets and should be engaged with.

We are at a tipping point where sociology and technology can assist us in engagement

imageContinuing the argument above, we are at a wonderful position whereby sociology and technology are merging to assist us in understanding how to engage with different audiences in the most appropriate manner. TweetLevel can identify what type of person an individual is by their online behaviour. We call this the ‘Topology of Influence

We believe that influence is derived by how information flows between different people. Backed-up by the Web Science team at the University of Southampton, influential people can be: idea starters, amplifiers, curators, commentators or viewers.

People within these different categories all portray behavioural attributes that when complemented are more likely to promote the spread of a message. For example with Idea Starters I would engage in a deep structured discussion and with amplifiers I would understand their need to satisfy their readership and provide them with pre-packaged information that they can easily repurpose.

TweetLevel measures influence and more…

Understanding which people engage with is just half the story. Nothing irks me more than hearing someone has emailed their boss saying that “so-and-so has just retweeted us and they have 30 thousand followers”. Big Deal.

What is more important is ‘has there been a significant change in the amount of conversation that you have catalysed’ and ‘defining whether people are talking and sharing the points you want them to’. These are key measurement metrics which Tweet and BlogLevel also measures.

image   image image

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However, I would always counsel having a consistent measurement approach:

  • At the beginning of a campaign: to set a benchmark and ensure your message is relevant
  • During the campaign: are there peaks at the right time? Do we need to course correct, issues hijack or amend our message?
  • At the end of the campaign: how have we done? Have the right people engaged? Has the right message been echoed and spread?

What the tools can and can’t do

TweetLevel and BlogLevel are tools that help PR pros take what would be either an expensive or time consuming process into a free (these sites don’t cost) and quick job (reduces the analysis time from days to minutes). However, they don’t fully automate the identification or measurement role – this is intentionally done as a human mind always needs to validate and sanity check the results.

There are of course other excellent tools in the market. However, TweetLevel and BlogLevel are not trying to compete with them. These are purpose built to mirror the way we work so we do not need to retrofit our work to complement their tools. These are games or perks but simply a way that we can do our job better.

Of course there are some added extras that go beyond measurement – for example identifying what individuals most frequently discuss, who they influence, who influences them and other people who talk about similar subjects.

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I like to say that these tools are in continuous beta. As new developments arise or demand for specific features are required, we will update the tools accordingly.

What’s next?

To answer this simple question I would like to refer you to a simple quote that Jeremiah Owyang once said to me:

If you want to influence me, be in a conversation with me – wherever that conversation takes place.

I will be discussing both TweetLevel and BlogLevel at the forthcoming #measurePR chat on 30 August at 12-1 pm ET. I hope you can participate and join the debate. @jenzings will be hosting and my thanks to @shonali for organising.

Last week I was speaking with a ‘social media pro’ who informed me that I shouldn’t bother with blogs as its all Quora nowadays.

At first hand it’s not such a silly statement – may people instinctively believe that the volume of blogging has fallen massively since 2007 at the expense of the shiny toys of Twitter, Quora, YouTube, Facebook, LinkedIn etc. If all the conversations are happening in other channels why should we bother to blog at all?

This view is short sighted. In fact, blogging for marketing purposes has increased:

A common mistake people make is that people live in a “field of dreams” world whereby they think that simply blogging about a subject will make people come and visit. Blogging is great for telling prospects about what you are selling but it does not bring people to your site.

In fact a blog is a focal point and acts as a base of operations for communications. Even though you may use Twitter and Facebook there still needs to be landing point – a place that people end up when they click on the link.

 

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Writing as a blogger, I an confirm what many people know, in that it takes a great deal of effort and dedication to compose a blog post. it’s not like twitter where brisk thoughts can be jotted down in 140 characters – instead a blog is a place where context is added to headline, where ideas are fleshed out and where structure is given to a proposition. Twitter and Facebook are not the right platforms for this – this is where a blog shines and becomes a library of all your thoughts and ideas. In essence it is where ‘idea starters’ reside.

What’s more a blog can also address questions or concerns your audience find important. By all means people use amplification tools like Twitter and Facebook to draw their attention to your blog post, but the thoughts reside in one place.

SEO is also vital. New, focussed and relevant content will always be picked up by Google which will in turn bring extra traffic. It is here where the second stage of engagement takes place – directly on the blog. This is often more in-depth and focussed than through other channels like Twitter. How often have we all felt that 140 characters is not enough to give a detailed opinion. Facebook too has its limitations – even though you can write as much as you like, many find lengthy wall posts unappealing – it really is a case of the right message for the right channel.

At no stage i am suggesting that a blog is used in isolation. As if proving my own point, when i raised this question on Quora, i received in depth replies. Priit Kallas, Founder and CEO at dreamgrow.com explained his reasons why Blogs are important:

  • Create an image of an expert
  • Interact with clients and prospects
  • Improve search engine rankings
  • Spread the word
  • Talk about more than just products and services
  • Solve client’s problems
  • Build trust
  • Stay on top of your field
  • Build brand
  • Exercise your creativity
  • Put a human face on your brand
  • Proving ground
  • Foundation for social media activities
  • Differentiate from competition
  • Educate clients, prospects, stake holders
  • Increase traffic
  • Make money

And here is a real life screen shot straight from Google Analytics (points are weeks):

The increase in traffic was 3 to 4 times and leads grew even more. Not too shabby.

So how should a blogger blog?

  1. Write informative and relevant posts
  2. Use social media to amplify the post

Blogging takes time and effort. Whereas a quick tweet may be insightful, the dedication to compose and elaborate on ideas takes in the form of a structured blog post is incredibly difficult. To all those people who do this regularly or even as Jeremiah calls it – a ‘casual career blogger’ , truly salute you for bringing opinion and content. Where people talk of information overload, they forget that all the info points somewhere – and that more often than not is a blog.

Recommended reading:

29 Ways to Keep Me Coming Back to Your Blog Again and Again

Corporate narcissism: The single biggest mistake made on corporate blogs?

The State of the Blogosphere 2010

21 Tips To Create A Brilliant Business Blog

Corporate Blogging Goes Mainstream

 

Originally posted on Technobabble 2.0

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Within the analyst world the past year has been a dichotomy in the land of blogging. Whereas we have seen a surge in the number of analysts that have taken to this medium, it is contrasted with a decrease from the recognised ‘leaders’ in the frequency of which they post.

This new ranking system has fundamentally evolved since the last version to take into account the seismic shifts in the way people communicate online. The key changes relate to inbound links such as from Twitter as well as well as a combined Yahoo  / Google (3-month date limited) approach.

Whenever these lists are published, there are several points that always get raised which I will address now…

  1. This blog is not from an analyst. The argument as to whom is an analyst or a consultant is becoming largely moot. In my opinion if someone is independent and directly influences technology procurement then they are an analyst. I know this will cause a huge amount of disagreement but as an outsider looking in this is the way I see the market. This is not to say that some analysts have different strengths over others, it is more a case that I think as an AR pro, I need to monitor the lot of you.
  2. The blog is written by multiple authors. Some blogs have several analysts writing them whereas others do not. The merits of a single blog author is something that I personally favour as this allows me to understand the tone of blog without having to understand the many personalities that are associated with it. Regardless, for this table, my view has not been to argue this but merely to present the data.
  3. It is irrelevant showing all the blogs as I am only interested in a specific topic – bingo, that is exactly right. My suggestion to all AR pros is to identify which of your analysts are on this and only look at those. This list compiled from the newly updated analyst blog directory on Tekrati does not see to micro-segment but merely to list all blogs regardless of their speciality.
  4. Hey – you have forgotten to include this blog. Please let me know the name and if I will include it as an edit.
  5. Isn’t this just like TweetLevel but for blogs? Yep, this algorthim is part of a larger project to fully understand infleunce and engagement on the web. This methodology is part of BlogLevel.
  6. Will you be producing a league table for those on Twitter? Yes, next week.

Without further ado, congrats to everyone who is included and especially those who have managed to make the top 50 – this is an outstanding achievement. Of course, a huge pat on the back to ex-Forrester and now Altimeter analyst, Jeremiah Owyang for showing everyone how to combine blogs and twitter to tremendous effect.

Rank Blog Name image image image image image image
1 Web Strategy by Jeremiah 14.4 5.7 12.0 24.0 27.5 83.6
2 Compete Blog 14.4 4.8 9.3 19.4 14.7 62.7
3 Workplace Learning Today 12.0 4.1 7.5 14.0 24.9 62.4
4 James Governor’s MonkChips 14.4 5.1 7.7 17.5 13.8 58.4
5 Virtually Speaking 16.8 4.4 6.6 8.7 21.7 58.3
6 Service-Oriented Architecture 16.8 4.8 8.7 14.2 13.7 58.2
7 StorageMojo 12.0 5.2 8.7 14.0 17.2 57.1
8 Storage Bits 16.8 4.4 9.6 0.0 26.4 57.1
9 Greenmonk Associates 14.4 4.5 6.9 13.1 16.7 55.6
10 Customer Experience Matters 12.0 4.5 8.0 17.5 13.4 55.3
11 People Over Process 14.4 4.6 7.3 16.4 11.4 54.1
12 Chilmark Research 12.0 4.1 7.7 14.4 15.9 54.1
13 Collaborative Thinking 14.4 4.7 7.5 14.1 13.3 53.9
14 Column 2 by Sandy Kemsley 12.0 4.4 9.1 12.4 15.4 53.3
15 DBMS2 – DataBase Management System Services 12.0 4.3 7.2 15.3 14.5 53.2
16 Dean Bubley’s Disruptive Wireless 12.0 4.3 6.5 15.8 13.8 52.4
17 A Software Insider’s Point of View 12.0 4.3 8.0 15.1 13.0 52.3
18 CMS Watch Trends and Features 14.4 3.4 3.2 20.0 10.4 51.4
19 James Bach’s Blog 9.6 4.5 7.7 17.4 11.1 50.2
20 Hitwise Intelligence 14.4 4.9 0.0 16.4 14.5 50.1
21 Deal Architect 12.0 3.9 10.2 11.8 12.2 50.0
22 GoMo News 12.0 4.8 10.3 11.1 11.3 49.5
23 IDC eXchange 14.4 3.8 5.5 14.7 11.0 49.4
24 Message 12.0 4.4 9.6 16.3 6.4 48.7
25 Identity and Privacy Strategies Blog 12.0 3.9 7.7 12.4 12.5 48.5
26 Outside Innovation 12.0 4.4 1.6 19.5 11.0 48.5
27 Forrester’s Interactive Marketing Blog 12.0 4.8 10.4 16.4 4.7 48.2
28 451 CAOS Theory 14.4 4.6 9.7 14.0 5.3 47.8
29 Gartner – Jim Sinur 12.0 3.2 5.0 11.8 15.8 47.8
30 Music Industry Blog 12.0 3.2 4.5 12.7 15.1 47.5
31 Enterprise 2.0 Blog 14.4 5.9 8.4 13.6 5.2 47.4
32 Brandon Hall Analyst Blog – Janet Clarey 12.0 4.7 5.0 14.2 11.3 47.2
33 Local Onliner 12.0 4.6 5.7 12.8 11.9 47.0
34 Securosis Blog 12.0 3.6 9.5 14.2 7.7 46.9
35 Forrester Blog For Information andKM Professionals 12.0 4.7 6.8 13.4 9.4 46.2
36 Forrester Blog for Consumer Product Strategy Professionals 12.0 3.6 9.5 10.8 10.3 46.2
37 Gartner – John Pescatore 12.0 3.4 6.6 11.8 12.3 46.1
38 Business Process and Applications Commentary 12.0 3.8 7.8 11.1 11.2 45.9
39 Local Media Blog 12.0 4.4 8.0 14.4 6.8 45.7
40 Always On Real-Time Access 9.6 4.4 6.4 14.7 10.5 45.5
41 Enterprise Anti-Matter 12.0 3.9 4.8 12.4 12.3 45.4
42 George F. Colony’s Blog: Counterintuitive 12.0 4.0 5.9 13.0 10.4 45.3
43 Vendorprisey 12.0 4.7 4.5 16.4 7.7 45.2
44 VideoNuze 12.0 4.3 8.2 13.2 7.4 45.0
45 Forrester Product Management Blog 12.0 4.1 6.1 13.4 9.5 45.0
46 Collaboration and Content Strategies Blog 12.0 2.7 7.4 12.0 10.6 44.7
47 Gartner – Allen Weiner 12.0 3.0 5.3 10.4 13.7 44.4
48 ThreatChaos 9.6 4.1 6.1 13.4 11.2 44.3
49 isen.blog 14.4 5.0 5.7 7.8 11.1 44.0
50 Market Strategies for IT Suppliers 9.6 3.9 4.8 9.1 16.5 43.8
51 Application Platform Strategies Blog 12.0 0.0 7.3 13.1 11.4 43.8
52 Gartner – Andrea Di Maio 12.0 3.0 9.3 11.4 7.4 43.2
53 Bryan Chapman 12.0 3.8 3.2 10.9 12.8 42.7
54 Data Center Strategies Blog 12.0 3.0 5.9 12.3 9.4 42.5
55 Gartner – Nick Jones 12.0 3.7 5.3 10.6 10.9 42.4
56 Contentblogger 14.4 4.0 4.8 12.7 6.5 42.3
57 Contentblogger(TM) – News Commentary 14.4 4.0 4.8 12.7 6.5 42.3
58 ThinkBalm – Immersive Internet Insights and Expertise 12.0 3.4 6.9 4.3 15.5 41.9
59 Gartner – Jeffrey Mann 12.0 2.3 0.0 9.9 17.4 41.5
60 tecosystems 14.4 4.2 0.0 17.0 5.8 41.4
61 Text Technologies 12.0 4.1 2.5 13.6 9.3 41.4
62 Yankee Group Blog 12.0 3.8 5.7 12.9 7.0 41.4
63 Gartner – Kristin Moyer 12.0 3.1 3.2 10.1 13.0 41.3
64 IT Infrastructure and Operations 12.0 4.0 4.8 11.3 9.1 41.2
65 Web Globalization Blog 12.0 3.9 3.2 11.3 10.6 40.9
66 New Communications Review 12.0 4.1 2.5 11.8 10.5 40.8
67 Forrester – The Future Of Agencies Blog 12.0 3.7 4.5 11.4 9.2 40.8
68 Cutter Blog 12.0 3.5 4.8 15.9 4.6 40.7
69 Gartner – Tom Bittman 12.0 3.7 6.6 13.0 5.5 40.7
70 Local Mobile Search 7.2 3.2 8.5 12.8 9.0 40.6
71 Gartner – Jim Holincheck 12.0 2.2 2.5 9.6 13.9 40.2
72 Deborah Schultz 12.0 4.0 3.7 12.4 8.0 40.1
73 Supply Chain Matters 9.6 4.3 3.2 10.5 12.4 40.0
74 BlogERP – Jim Holincheck’s HCM Software Blog 12.0 3.1 2.5 11.6 10.7 39.9
75 Gilbane Group Blog 14.4 4.2 1.6 11.8 7.8 39.8
76 Groundswell 0.0 5.1 0.0 17.0 17.7 39.8
77 Brandon Hall Analyst Blog – Gary Woodill 12.0 2.8 2.5 10.5 11.9 39.7
78 Forrester Blog for Customer Intelligence Professionals 0.0 2.5 3.2 17.9 16.1 39.7
79 Greg’s Storage IO Blog 9.6 3.3 3.2 11.0 12.5 39.6
80 Global Watchtower 12.0 3.9 5.9 12.6 5.1 39.5
81 Gartner – Neil MacDonald 12.0 2.9 5.0 10.3 9.2 39.4
82 Gartner – Thomas Otter 12.0 3.1 2.5 10.5 11.0 39.1
83 VisionMobile blog 12.0 3.8 6.1 12.5 4.7 39.1
84 Analytics Evolution 9.6 3.3 1.6 10.0 14.6 39.1
85 Gartner – Ray Valdes 12.0 2.0 0.0 9.9 15.1 39.0
86 HDTV Almanac 9.6 6.0 10.5 6.9 6.0 39.0
87 Gartner – Mark McDonald 12.0 2.4 4.1 9.5 10.9 38.9
88 The Enterprise System Spectator 12.0 4.5 4.5 12.2 5.5 38.8
89 BuddeBlog 12.0 3.6 2.5 8.9 11.6 38.6
90 Gartner – Greg Young 12.0 2.6 3.2 11.2 9.4 38.4
91 Gartner – Kathy Harris 12.0 2.2 1.6 9.7 12.9 38.4
92 Travel Technology 9.6 4.0 0.0 13.0 11.7 38.2
93 IT Blog Watch 14.4 5.0 0.0 12.4 6.1 37.9
94 Gartner Blog by Mike McGuire 12.0 2.1 1.6 9.2 12.9 37.8
95 The Future of Enterprise Software 12.0 4.1 3.2 9.5 8.9 37.6
96 View from Forrester 16.8 3.8 5.0 7.1 4.8 37.5
97 BriefingsDirect Transcripts 12.0 3.9 8.7 8.1 4.9 37.5
98 Gartner – French Caldwell 12.0 1.9 2.5 8.8 12.2 37.4
99 451 Take on information management, Too much information 14.4 3.4 1.6 13.1 4.9 37.3
100 Javelin Strategy and Research 14.4 3.6 0.0 13.6 5.7 37.3
101 Forrester: Application Dev & Prog Man. Profs 12.0 3.7 4.8 9.7 7.2 37.3
102 Judith Hurwitz’ Weblog 9.6 3.5 0.0 12.5 11.6 37.2
103 Gartner – Mark Driver 12.0 2.1 0.0 10.0 12.9 37.0
104 Gartner – Lydia Leong 12.0 3.3 3.2 10.7 7.6 36.8
105 Teblog 9.6 4.2 0.0 9.9 13.2 36.8
106 Gartner – Anthony Bradley 12.0 2.5 4.1 11.2 6.8 36.6
107 Opus Research 9.6 2.1 4.5 7.5 13.0 36.6
108 NPD Group Blog 14.4 3.7 4.1 10.4 4.1 36.6
109 Security and Risk Management Strategies Blog 12.0 0.0 3.7 11.2 9.7 36.5
110 The Guidewire 12.0 3.5 1.6 10.3 9.0 36.4
111 Kelsey Group Blogs 12.0 0.0 1.6 14.3 8.5 36.4
112 Spire Security Viewpoint 12.0 3.5 2.5 14.3 4.0 36.3
113 The Brampton Factor 14.4 1.0 0.0 18.2 2.8 36.3
114 Tech – Surf – Blog 9.6 3.8 6.2 10.6 6.0 36.2
115 The Hot Aisle 9.6 4.6 2.5 11.0 8.5 36.2
116 Gartner – Whit Andrews 12.0 3.2 1.6 10.2 9.2 36.1
117 The Outsourcing Blog Horses for Sources 14.4 5.0 0.0 11.5 5.3 36.0
118 Peter O’Kelly’s Reality Check 12.0 4.5 0.0 11.4 8.1 36.0
119 Gartner – Jim Lundy 12.0 1.9 0.0 8.8 13.3 36.0
120 Altimeter Group 0.0 3.0 6.9 13.7 12.3 35.9
121 Gartner – Tom Austin 12.0 1.8 2.5 9.4 10.1 35.8
122 Gartner – Mark Raskino 12.0 1.9 0.0 9.1 12.6 35.6
123 Forrester Blog For Enterprise Architecture Professionals 12.0 2.8 2.5 10.0 8.3 35.5
124 Gartner – Jeff Roster 12.0 2.1 0.0 9.2 12.2 35.4
125 Out of the Box 7.2 4.0 0.0 9.6 14.6 35.4
126 DisplaySearch Blog 12.0 3.7 3.7 11.2 4.6 35.2
127 THINK IT Services 12.0 3.8 3.7 9.7 5.9 35.0
128 kirkk.com 7.2 2.9 7.3 13.3 4.1 34.8
129 Parks Associates 12.0 4.0 0.0 12.6 6.3 34.8
130 Pattern Finder 9.6 3.8 1.6 10.4 9.4 34.8
131 Health Content Advisors 9.6 2.4 5.3 8.5 8.7 34.4
132 Gartner – Andrew White 12.0 1.8 1.6 10.5 8.5 34.4
133 Forrester: eBusiness & Channel Strategy Pros 12.0 3.2 4.8 9.8 4.5 34.3
134 Ron Shevlin’s Marketing Whims 12.0 4.5 0.0 15.1 2.6 34.2
135 Gartner – Brian Prentice 12.0 2.4 6.1 9.7 4.0 34.1
136 The Pervasive Datacenter 14.4 2.5 0.0 10.5 6.6 34.0
137 Gartner – Michael Maoz 12.0 4.2 1.6 0.0 16.0 33.8
138 Gil Yehuda’s Enterprise 2.0 Blog 7.2 4.1 6.4 3.3 12.9 33.8
139 Z Trek – The Alan Zeichick Weblog 9.6 3.9 3.7 10.9 5.7 33.8
140 The TEC Blog 9.6 3.5 3.7 10.9 6.1 33.8
141 Enterprise Search Blog 14.4 4.0 0.0 10.6 4.7 33.8
142 Gartner – Nick Gall 12.0 2.4 0.0 10.6 8.7 33.7
143 Jon Arnold’s Blog 12.0 4.7 3.7 7.4 5.9 33.6
144 All Aboard 12.0 2.8 0.0 12.2 6.6 33.6
145 Business Continuity – Pandemic Threat 14.4 4.1 1.6 7.9 5.6 33.5
146 James Kobielus’ Blog 12.0 3.6 5.0 8.2 4.3 33.2
147 Enterprise Mobility Matters 9.6 3.8 5.7 9.0 4.7 32.9
148 Security and Risk Management 12.0 4.0 0.0 11.3 5.5 32.8
149 Gartner – Frank Kenney 12.0 2.9 0.0 10.4 7.5 32.7
150 Analyst Xpress 12.0 2.5 3.2 10.8 4.3 32.7
151 Michael Fauscette 9.6 3.5 2.5 7.1 10.0 32.7
152 Laurie McCabe’s Blog 9.6 3.2 2.5 6.7 10.5 32.6
153 Plausible Deniability 12.0 3.3 2.5 11.4 3.4 32.6
154 Supernova Hub 12.0 4.3 7.1 3.8 5.3 32.5
155 Osterman Research Blog 9.6 3.9 0.0 10.0 8.8 32.4
156 Richi Blog 7.2 4.0 0.0 12.2 8.9 32.2
157 Executive Advisory Blog 12.0 2.6 2.5 8.0 6.8 32.0
158 Corporate Integrity, LLC 12.0 3.6 3.2 9.7 3.3 31.8
159 The Real Truth about Technology and IT 9.6 2.3 4.1 9.0 6.6 31.6
160 Ceci N’est Pas Un Bob 12.0 4.0 2.5 11.1 1.8 31.4
161 IDEAS Insights 9.6 2.9 5.0 8.8 4.8 31.1
162 Gartner – Andrew Frank 12.0 2.8 2.5 10.6 3.1 31.1
163 KnowledgeForward 7.2 2.9 4.8 11.1 5.1 31.0
164 Karen Hobert’s Connecting Dots 12.0 3.8 3.7 7.6 3.9 30.9
165 Forrester: Sourcing and Vendor Management Pros 12.0 3.5 0.0 8.2 7.2 30.9
166 Werblog 14.4 4.8 0.0 11.6 0.0 30.8
167 Gartner – Daryl Plummer 12.0 3.7 0.0 12.6 2.5 30.8
168 XML Technologies and Content Strategies 12.0 2.6 3.2 10.5 2.4 30.7
169 Gartner – David M. Smith 12.0 2.1 0.0 8.3 8.1 30.6
170 Gartner – Cameron Haight 12.0 2.8 0.0 9.9 5.9 30.6
171 Supply Chain Reaction 12.0 3.8 2.5 6.4 5.8 30.5
172 Brandon Hall Analyst Blog – Richard Nantel 12.0 3.8 0.0 11.1 3.6 30.5
173 Forrester Blog for IT Leaders in Asia Pacific 12.0 2.5 0.0 8.2 7.5 30.2
174 Attic Dust 12.0 0.0 4.8 3.8 9.6 30.2
175 Robin Bloor’s Blog: have Mac will blog 9.6 3.2 0.0 10.5 6.8 30.0
176 Gartner – Debbie Wilson 12.0 3.8 0.0 10.0 4.2 30.0
177 Irwin Lazar’s Real-time Blog 12.0 4.3 1.6 7.7 4.2 29.9
178 Gartner – Scott Nelson 12.0 2.0 0.0 3.8 11.8 29.7
179 Ferris Research 9.6 3.4 0.0 9.5 7.1 29.5
180 Richard Nantel 12.0 3.8 0.0 11.1 2.6 29.5
181 BriefingsDirect 12.0 4.1 8.4 0.0 4.7 29.2
182 Click 12.0 3.1 3.2 10.0 1.0 29.2
183 Consider the Source 12.0 3.5 1.6 7.4 4.8 29.2
184 Globalization Blog 12.0 3.7 0.0 9.1 4.4 29.2
185 Unified-View 12.0 4.3 0.0 8.7 3.8 28.7
186 Brandon Hall Analyst Blog – Tom Werner 12.0 2.8 0.0 7.9 6.0 28.6
187 Unified Communications Strategies 12.0 3.2 0.0 9.2 4.1 28.4
188 RedMonk Radio Podcast 12.0 2.6 0.0 8.7 5.1 28.4
189 INPUT Blog 9.6 1.8 0.0 9.1 7.9 28.3
190 Forrester Blog For CIOs 12.0 2.7 0.0 10.2 3.3 28.1
191 Blog Mike Ferguson 9.6 4.2 4.1 3.3 6.9 28.0
192 Network and Telecom Strategies Blog 12.0 2.0 0.0 8.4 5.5 27.9
193 Forrester Blog For Consumer Market Research Professionals 0.0 2.5 5.7 8.2 11.4 27.9
194 Fuld’s Competitive Musings 12.0 3.0 1.6 9.5 1.8 27.8
195 Amy Wohl’s Opinions 9.6 3.8 0.0 10.7 3.6 27.7
196 The Monash Report 12.0 3.8 0.0 9.4 2.4 27.6
197 Nucleus Research 14.4 2.3 0.0 7.5 3.4 27.6
198 Fern Halper’s data makes the world go round 9.6 3.2 1.6 10.2 2.9 27.5
199 Gartner – David McCoy 12.0 2.3 0.0 10.0 3.3 27.5
200 Gartner – Wes Rishel 12.0 2.4 0.0 9.5 3.5 27.4
201 Amy Wohl’s Opinions on SaaS 12.0 3.8 0.0 0.0 11.5 27.3
202 Celent Banking Blog 9.6 2.3 0.0 10.5 4.7 27.1
203 E-Communications and Community 12.0 3.7 0.0 8.1 3.3 27.1
204 Binstock on Software 12.0 0.0 0.0 13.0 2.0 27.0
205 CCS Insight Blog 7.2 2.6 0.0 10.1 7.0 26.9
206 Lux Populi 12.0 1.2 0.0 8.4 5.3 26.9
207 Thinking Global 12.0 3.4 0.0 7.2 4.1 26.7
208 Forrester Research – Customer Experience in Japan 12.0 3.3 0.0 9.9 1.4 26.6
209 Ironick 9.6 3.6 0.0 9.3 3.9 26.4
210 Lower (Carbon) Footprint 0.0 2.8 0.0 22.2 1.4 26.3
211 Gartner – Dan Sholler 12.0 2.0 0.0 6.4 5.8 26.1
212 elemental links 7.2 3.8 2.5 9.1 3.5 26.1
213 First Thing Monday 12.0 3.5 0.0 9.5 0.8 25.7
214 Gartner – Toby Bell 12.0 2.0 0.0 9.4 2.2 25.6
215 Data Management Strategies 12.0 2.6 0.0 6.7 4.1 25.4
216 Strategic Messaging 12.0 3.7 0.0 7.7 1.9 25.4
217 The Geo Factor 12.0 3.7 0.0 9.7 0.0 25.3
218 Gartner – Gene Alvarez 12.0 1.7 0.0 8.9 2.7 25.3
219 TelcoTV-View 9.6 2.4 0.0 11.2 2.0 25.3
220 Gartner – Adam Hils 12.0 1.8 0.0 6.4 5.0 25.2
221 Adam’s Heart Valve Surgery Blog 7.2 3.7 4.5 2.6 7.0 25.0
222 Gartner – Eric Goodness 12.0 1.7 0.0 9.6 1.7 24.9
223 Gilbane Events Blog 12.0 2.3 0.0 6.4 4.2 24.9
224 Home Theater View 7.2 3.6 10.5 0.0 3.7 24.9
225 eurotechnology.japan.blog 9.6 3.8 0.0 9.4 2.2 24.9
226 Software Memories 12.0 3.7 0.0 7.4 1.7 24.7
227 Mostly Enterprise Architecture 7.2 2.4 0.0 4.9 10.1 24.7
228 Connections 9.6 3.8 0.0 6.7 4.5 24.6
229 IT Depends 9.6 3.5 0.0 3.3 8.1 24.6
230 Gartner – Brian Gammage 12.0 1.7 1.6 4.6 4.6 24.5
231 Gartner – Dave Cappuccio 12.0 2.6 0.0 7.0 2.8 24.5
232 Insecure about Security 9.6 3.8 0.0 7.1 3.9 24.4
233 comScore Voices 16.8 3.8 0.0 0.0 3.9 24.4
234 doingITbetter 9.6 4.0 0.0 8.8 2.0 24.4
235 Gartner – Roberta Witty 12.0 2.0 0.0 6.4 3.8 24.2
236 MacehiterWard-Dutton 9.6 4.1 1.6 3.8 4.9 24.0
237 Celent Insurance Blog 9.6 3.2 0.0 7.6 3.7 24.0
238 Freeform Comment 9.6 3.5 0.0 8.4 2.5 23.9
239 Content Nation 9.6 2.2 0.0 7.7 4.3 23.8
240 The InfoCommerce Blog 9.6 3.8 0.0 7.2 3.1 23.7
241 NanoMarkets TOP Blog 9.6 3.6 0.0 9.3 1.2 23.6
242 fasol.blog 9.6 2.9 0.0 9.1 1.9 23.4
243 Gartner – David Norton 12.0 1.7 0.0 6.6 2.8 23.1
244 Gartner – Eric Knipp 12.0 2.0 0.0 5.7 3.3 23.0
245 Gartner – Debra Logan 12.0 2.1 0.0 7.5 1.3 22.8
246 Tom Raftery’s Social Media 9.6 2.7 0.0 0.0 10.5 22.8
247 Gartner – Richard Fouts 12.0 1.8 0.0 5.7 3.2 22.7
248 Cote’s Weblog 12.0 3.2 0.0 1.6 5.9 22.7
249 billtrippe 12.0 0.0 0.0 6.4 4.2 22.6
250 The Bourne Report 9.6 3.0 0.0 7.7 2.1 22.4
251 Gartner – Bruce Robertson 12.0 1.6 1.6 4.6 2.5 22.3
252 Gartner – Benoit Lheureux 12.0 1.6 0.0 5.5 3.2 22.3
253 NewMediaWise 9.6 3.4 0.0 9.2 0.0 22.1
254 Leadership Drives Business 0.0 2.9 0.0 12.2 7.0 22.1
255 IT BULLETins 12.0 3.9 0.0 4.6 1.5 22.0
256 Beagle Research 12.0 0.0 0.0 9.9 0.0 21.9
257 The Business of Talent 0.0 2.9 0.0 12.2 6.8 21.9
258 Berlecon Analyst Weblog 12.0 0.0 0.0 7.2 2.7 21.9
259 IT Services and Outsourcing 12.0 2.5 0.0 7.4 0.0 21.8
260 Gartner – Carol Rozwell 12.0 1.6 0.0 5.2 3.0 21.8
261 TeleGeography News and Analysis 14.4 2.6 0.0 2.6 2.0 21.7
262 Andy on Enterprise Software 9.6 2.7 0.0 6.7 2.6 21.6
263 Pike Research Blog 9.6 1.6 0.0 4.9 5.3 21.5
264 Localization Industry 411 7.2 3.4 0.0 10.0 0.9 21.5
265 Optimal Friction 7.2 3.2 0.0 7.1 3.4 20.9
266 Gartner – Donna Fitzgerald 12.0 1.9 0.0 3.8 3.2 20.8
267 Gartner – Michael Blechar 12.0 1.8 0.0 5.5 1.4 20.7
268 Blogging at Zinnov 4.8 0.5 0.0 7.0 8.4 20.7
269 Liquefying IT 12.0 3.8 0.0 0.0 4.9 20.7
270 iLocus 7.2 3.2 0.0 8.3 1.7 20.5
271 Gartner Voice 14.4 2.4 0.0 0.0 3.5 20.3
272 Contentblogger(TM) – Industry Events 9.6 1.9 0.0 7.7 0.9 20.1
273 Got Tannins? 9.6 4.1 0.0 4.9 1.5 20.0
274 Thinking Out Loud 12.0 2.5 0.0 0.0 5.5 19.9
275 Gartner – Phillip Redman 12.0 1.8 0.0 3.3 2.7 19.8
276 Chipworks Blog 9.6 2.9 1.6 0.0 5.6 19.7
277 Security Architect 9.6 2.7 0.0 4.6 2.7 19.6
278 what’s next? 9.6 2.8 0.0 4.6 2.5 19.5
279 Gartner – Van Baker 12.0 1.7 0.0 3.3 2.5 19.4
280 Thus Prate the IT Pundit 7.2 3.2 0.0 6.4 2.6 19.4
281 Open Reasoning 9.6 2.3 0.0 4.9 2.5 19.3
282 Technology Marketing Blog 7.2 3.0 0.0 6.1 3.0 19.3
283 Forrester Blog for Technology Sales Enablement Professionals 0.0 2.1 3.2 5.7 8.3 19.3
284 John Katsaros 7.2 0.7 0.0 6.7 4.5 19.2
285 Joel Orr’s World 7.2 0.7 0.0 6.7 4.5 19.2
286 Techaisle 7.2 1.9 2.5 4.3 3.2 19.1
287 The Bigger Truth 0.0 2.2 0.0 11.2 5.5 18.9
288 Gartner – Rob DeSisto 12.0 1.6 0.0 1.6 3.6 18.8
289 The Future of Publishing 9.6 3.2 2.5 0.0 3.5 18.8
290 Gartner – Brian Burke 12.0 1.7 0.0 3.8 1.2 18.7
291 Total Immersion 7.2 2.8 0.0 7.7 0.9 18.6
292 Mark My Words 9.6 3.5 0.0 0.0 5.4 18.5
293 No Jitter Weblog – Melanie Turek 12.0 1.9 0.0 0.0 4.6 18.5
294 No Jitter Weblog – Michael Finneran 12.0 1.8 0.0 0.0 4.6 18.4
295 Global Trends and Benchmarks 0.0 1.0 0.0 12.2 5.3 18.4
296 No Jitter Weblog – Irwin Lazar 12.0 1.4 0.0 0.0 4.8 18.2
297 No Jitter Weblog – Zeus Kerravala 12.0 2.6 0.0 0.0 3.5 18.1
298 Identerati 9.6 2.4 0.0 6.1 0.0 18.0
299 The Technology Garden 7.2 2.2 0.0 8.6 0.0 17.9
300 Steve’s IT Rants 4.8 0.6 0.0 12.5 0.0 17.9
301 Geosophical technologies 7.2 2.6 0.0 6.4 1.7 17.9
302 Heavy Lifting Analyst Notes 12.0 1.8 0.0 0.0 4.0 17.8
303 Jon Peddie Blogs 9.6 1.1 0.0 3.8 3.2 17.7
304 JPR Staff Blogs 9.6 1.1 0.0 3.8 3.2 17.7
305 No Jitter Weblog – Sheila McGee-Smith 12.0 1.2 0.0 0.0 4.5 17.6
306 Burton Group Inflection Point 7.2 3.5 0.0 4.3 2.6 17.6
307 Craig Mathias’s Blog 0.0 3.6 0.0 9.1 4.9 17.6
308 ABI Research Analyst Blogs 12.0 1.7 0.0 0.0 3.8 17.5
309 Learning on the Leading Edge 0.0 0.0 0.0 12.2 5.3 17.5
310 Mobile Insight and Search 7.2 3.3 0.0 6.6 0.0 17.1
311 No Jitter Weblog – Tom Nolle 12.0 1.0 0.0 0.0 4.1 17.0
312 Gene Phifer’s Personal Blog 7.2 1.2 0.0 8.7 0.0 17.0
313 Nothing to Declare 4.8 3.5 0.0 6.4 2.2 16.9
314 bit blue blog 7.2 3.3 0.0 6.4 0.0 16.9
315 Gartner – Frank Ridder 12.0 1.6 0.0 0.0 3.3 16.9
316 No Jitter Weblog – Brian Riggs 12.0 1.1 0.0 0.0 3.6 16.6
317 Keeping IT Grounded 9.6 1.7 0.0 5.2 0.0 16.5
318 Connecting the Dots 0.0 0.0 0.0 7.8 8.5 16.3
319 BPMS Watch 12.0 0.0 0.0 0.0 4.3 16.3
320 Communication Innovations 12.0 3.2 0.0 0.0 0.9 16.1
321 Gap Intelligence 4.8 2.7 0.0 0.0 8.6 16.1
322 Peter Christy 7.2 1.8 0.0 4.6 2.4 16.0
323 Jen McClure’s Ruminations 9.6 1.3 0.0 4.3 0.8 16.0
324 Gartner – Tole Hart 12.0 1.8 0.0 0.0 2.2 16.0
325 Gartner – Martin Reynolds 12.0 1.7 0.0 0.0 2.0 15.7
326 Gartner – Earl Perkins 0.0 1.9 1.6 8.0 3.8 15.3
327 Gilbane Publishing Technology Blog 14.4 0.0 0.0 0.0 0.8 15.2
328 The Analyst View 9.6 2.0 0.0 0.0 3.6 15.1
329 Shosteck Group Insights 9.6 1.0 0.0 3.3 1.0 14.9
330 Technology Pundits – Rob Enderle 9.6 3.3 0.0 0.0 1.9 14.7
331 Gartner – Donald Feinberg 9.6 1.6 0.0 0.0 3.5 14.7
332 The Saltworks 7.2 1.5 0.0 3.3 2.2 14.2
333 Compass Intelligence 7.2 3.5 0.0 0.0 3.3 13.9
334 Wicked Flavory 4.8 2.2 0.0 6.9 0.0 13.9
335 Marcia Kaufman’s Weblog 9.6 1.1 0.0 3.3 -0.2 13.7
336 On Target Embedded Systems 7.2 3.1 0.0 0.0 3.4 13.7
337 Rabkin’s ROI 0.0 1.5 0.0 3.8 8.3 13.6
338 Forrester Blog for B2B Market Research Professionals 0.0 2.3 0.0 5.2 6.0 13.5
339 Foro Empresarial 0.0 2.6 0.0 5.9 4.9 13.4
340 joygantic 4.8 2.3 0.0 5.5 0.8 13.4
341 Andreas Antonopoulos’s blog 9.6 3.0 0.0 0.0 0.7 13.3
342 WirelessView 7.2 1.1 0.0 4.9 0.0 13.2
343 IMHO 0.0 0.5 0.0 8.9 3.7 13.1
344 GigaOM Pro Blog 0.0 0.3 0.0 5.9 6.9 13.1
345 Innovating Government 0.0 3.2 0.0 8.7 1.1 13.0
346 Commvine 2.4 1.2 0.0 6.4 2.9 12.9
347 On Taget: Embedded Systems 0.0 0.0 0.0 7.6 5.3 12.9
348 TV Strategies 4.8 2.8 0.0 5.2 0.0 12.8
349 Burton Group Weblog 9.6 3.2 0.0 0.0 0.0 12.7
350 The Collaboration Blog 7.2 3.1 0.0 0.0 2.4 12.7
351 Chip Hatchery 7.2 1.1 0.0 0.0 4.4 12.6
352 Technology Pundits – Richard Doherty 7.2 3.3 0.0 0.0 2.0 12.5
353 iGR Weekly Blog 0.0 1.6 0.0 9.5 1.3 12.4
354 The Naked Chief Blog 7.2 0.5 0.0 1.6 3.0 12.3
355 The Innovation Zone 9.6 1.1 0.0 0.0 1.4 12.1
356 Cannell.org 0.0 3.4 0.0 4.6 3.9 12.0
357 Technology Pundits – Tim Bajarin 7.2 3.3 0.0 0.0 1.5 12.0
358 Open Source Unleashed – All Bets Off 9.6 0.0 0.0 0.0 2.3 11.9
359 MavBlog 7.2 0.6 0.0 1.6 2.0 11.5
360 Ted Ritter’s blog 9.6 0.3 0.0 0.0 1.6 11.5
361 Sageza Says 0.0 1.2 0.0 5.9 4.1 11.3
362 Digital Consumer 0.0 2.0 0.0 4.6 4.6 11.2
363 Strategy Analytisc – Digital Consumer 0.0 2.0 0.0 4.6 4.3 10.9
364 Enterprise Advocates 0.0 3.5 3.2 0.0 4.0 10.7
365 Jeff and Hennie’s Stuff 0.0 1.8 0.0 7.7 0.9 10.5
366 Retail PLM and Sourcing 4.8 0.0 0.0 1.6 4.1 10.5
367 Ben’s Tech Blog 0.0 0.0 0.0 6.1 4.3 10.4
368 NRG TechView research and analysis 7.2 1.6 0.0 0.0 1.5 10.3
369 Johna Till Johnson’s blog 0.0 0.0 0.0 4.9 5.3 10.3
370 Lopez Research Blog 7.2 1.2 0.0 0.0 1.8 10.2
371 John Burke’s blog 9.6 0.0 0.0 0.0 0.0 9.6
372 Digital Media Bulletin 0.0 2.6 0.0 5.7 1.1 9.4
373 A Springboard to Services 7.2 1.0 0.0 0.0 1.1 9.2
374 alvear.com 4.8 1.7 0.0 0.0 2.7 9.1
375 DVR Bulletin 7.2 1.8 0.0 0.0 0.0 9.0
376 Views from the Bridge 0.0 0.0 0.0 5.2 3.2 8.5
377 Collaboration service news 0.0 0.5 0.0 0.0 7.9 8.4
378 Amy’s Food Adventures 0.0 1.9 0.0 3.8 2.5 8.3
379 JapanStrategy-Blog 0.0 2.6 0.0 4.3 1.2 8.1
380 Carl Gressum’s blog 0.0 1.0 0.0 4.3 2.5 7.7
381 Government IT Infrastructure Blog 0.0 0.0 0.0 1.6 5.8 7.4
382 Product Value Management 4.8 1.0 0.0 0.0 1.6 7.3
383 Application Delivery 0.0 0.0 0.0 4.6 2.6 7.3
384 Gartner – Michael Hanford 0.0 1.4 0.0 2.6 2.9 7.0
385 MetaMurph’s Metasphere 4.8 0.5 0.0 0.0 1.3 6.5
386 Technology Pundits – Roger Kay 0.0 3.3 0.0 0.0 3.2 6.5
387 I of Innovation 0.0 1.7 0.0 3.8 0.6 6.2
388 Green IT Sourcing 4.8 1.1 0.0 0.0 0.0 5.9
389 Cloud Computing Blog 0.0 0.0 0.0 2.6 3.1 5.7
390 Annoying Design 4.8 0.5 0.0 0.0 0.0 5.3
391 Thoughts From a Software IT Analyst 0.0 0.9 0.0 1.6 2.5 5.1
392 Key Analysis Research and Consulting – Blog 0.0 0.5 0.0 3.3 1.2 5.0
393 HealthTech Industry Perspectives 0.0 0.0 0.0 0.0 4.9 4.9
394 Internet2Go – An Opus RAS 0.0 0.0 0.0 0.0 4.6 4.6
395 JBB Research Blog 0.0 0.0 0.0 0.0 4.6 4.6
396 Software Delivery news 0.0 0.8 0.0 0.0 3.8 4.6
397 The Changing Life Sciences Value Chain Blog 0.0 0.0 0.0 0.0 4.5 4.5
398 Executive Blog 0.0 0.0 0.0 0.0 4.5 4.5
399 Health Plan Business and Technology Views 0.0 0.3 0.0 0.0 3.8 4.2
400 Big Picture 0.0 0.0 0.0 0.0 3.8 3.8

Methodology

I have taken the feedback I have received from the previous research and modified the methodology.

Scores are now calculated as follows:

Google PageRankGoogle PageRank is a link analysis algorithm that interprets web links and assigns a numerical weighting (0 to 10) to each site. High-quality sites receive a higher PageRank. The ranking uses the actual PageRank as part of its algorithm.

Yahoo Inbound Links [date unlimited]Yahoo counts the total number of inbound links that go directly to a blog. Each number was assigned to a range which was then used as part of the algorithm.

Google Inbound Links [3 months date limited]Google allows people to search the number of inbound links to a specific blog but limit this to a predefined date period. Similar to how Technorati only looks at six months of data, this method was used in combination with the Yahoo Inbound Link count to assess which blogs were considered to be important due to the number of links that came to them, but also currently relevant as measured by the limitations on the timescale. Each number was assigned to a range which was then used as part of the algorithm.

Google Reader SubscribersGoogle reader lists the total number of subscribers to a blog. I believe this is a more realistic number to that which Bloglines provides. Mihai Parparita confirms that “these numbers include subscribers across all Google services”. To account for people using other readers (e.g. Newsgator) it has been suggested that this number is multiplied by 3. Subscriber ranges were determined (i.e. more than 20, more than 30, etc.) and each range was assigned a number that was used as part of the algorithm.

Frequency of Posts – Updating relevant and interesting content frequently onto a blog will naturally cause more people to find this blog important. This score is established via Google Reader to understand the precise number of posts per week that the blogger makes. Frequency numbers were determined and assigned to a range that was used as part of the algorithm.

Date Last Blog Post Published – Working in combination with ‘Frequency of Posts’, this score mitigates against blogs that were once popular but haven’t been updated for a long time. The number of days since the last blog post was calculated and assigned to a range which was used as part of the algorithm.

Comments – A simple way to judge how valuable a blog is to other people is through the number of comments (where this is enabled) that visitors make. In a similar way to linking and subscribing this user requested service shows a significant value. The number of comments made over the last five posts were calculated and assigned to a range which was used as part of the algorithm.

Twitter Inbound Links – There are various online tools available to count the number of links inbound to a blog from Twitter. Backtype was used to count the number of these occurrences over the past five blog posts. The number of times this happened was calculated and assigned a range which was used as part of the algorithm.

Weighting – Each specific variable listed above was given a standard score out of 10. Using a weighting scale I varied the importance of the each metric to establish a blogs total score.

Badges

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by: @jonnybentwood

Orignially posted on Technobabble 2.0

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