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Why Being The Most Connected Is A Vanity Metric

Why Being The Most Connected Is A Vanity Metric | Social Network Analysis | Scoop.it
Research shows that being the most connected person is not an effective way to build your network. The single best strategy is one that almost no one talks about.
Stephen Dale's insight:

Being able to connect (and sometime translate) information between network clusters achieves far more influence and recognition in an open network than having many connections. This role is know as a 'broker'; the article posits that a broker will likely achieve career success. 

 

Reading time: 8mins

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Social Network Analysis Tools & Softwares

Social Network Analysis Tools & Softwares | Social Network Analysis | Scoop.it
Social Network Analysis, Social Network Analysis tools, Network model analysis, Gephi, NetLogo, iGraph, Pajek, UCINet, NodeXL, NetworkX
Stephen Dale's insight:

A useful list of SNA tools and services. Not listed here, but well worth a look is Kumu - https://kumu.io/

 

Reading time: 5mins

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Network paradox may help algorithms overcome 'universal limitation'

Network paradox may help algorithms overcome 'universal limitation' | Social Network Analysis | Scoop.it
(Phys.org) —Sometimes paradoxes can be frustrating, but other times they can reveal something that was previously hidden. A new paradox in the field of network science, presented in a recent issue of EPL by Filippo Radicchi, Assistant Professor at Indiana University, seems to fall into the latter ...
Stephen Dale's insight:

Researchers have developed algorithms aimed at community detection. The problem is, when a community's total number of internal links is only a little bit larger than its total number of external links, the algorithms may not detect the community.

 

Radicchi explains, some communities are more high quality and better defined than others. High-quality, well-defined communities are those in which many individual nodes have more internal than external links. On the other hand, low-quality, ill-defined communities are those in which many nodes have more external than internal links

his main results counterintuitively show that the value of the detectability threshold is inversely proportional to the quality of the community.


Radicchi's believes that the reason why high-quality communities are more difficult to detect for algorithms is that the algorithms are actually detecting subgroups that do not fully fit the intuitive definition of communities.

If current algorithms could be modified to better detect the intuitive properties of communities, then they would likewise be better at detecting high-quality communities than low-quality communities. By the same token, these better algorithms might no longer be restricted by the "universal limitation" detectability threshold.

Reading time: 15mins

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WHICH 50 : Using enterprise social network analysis to discover the informal power players in the company

WHICH 50 : Using enterprise social network analysis to discover the informal power players in the company | Social Network Analysis | Scoop.it
Referral networks and informal power players are rarely exposed in organisational charts. Quiet achievers are often pushed into the background,...
Stephen Dale's insight:

There is value in companies understanding who their real power operators are, irrespective of the noise that attends their efforts. Social network analysts seeks to do this. SNA identifies the relationship links between people in an organisation. The results are presented as graphical network maps and associated metrics, which clearly identify the key players as those central to the network and those bridging disparate groups.

 

Inevitably, we notice and remember those who achieve visibility by being loud, confident, extroverted and sometimes even a little arrogant in seeking attention. However, it's the shy introverts that are often the real influencers. Introverts can use their private time away from the limelight to reflect more deeply on game-changing ideas and innovations. And when forced into the limelight their humility becomes more engaging, and therefore more influential.


Reading time: 8 mins

Relevance to SNA: 9/10

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Raffaele Sollecito uses university essay to argue his innocence over Meredith Kercher murder

Raffaele Sollecito uses university essay to argue his innocence over Meredith Kercher murder | Social Network Analysis | Scoop.it
The recently-graduated Italian said in a thesis that his name was more frequently associated with the word "innocent" than "guilty" on the internet
Stephen Dale's insight:

An interesting if misguided application of SNA. If people "think" you are innocent, does that make you innocent? 

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Answer All of Your Hashtag Questions With These 7 Incredible Tools

Answer All of Your Hashtag Questions With These 7 Incredible Tools | Social Network Analysis | Scoop.it

...Ok, great, so hashtags are important, but the question that you, as a business owner, need to be asking yourself is, with so many people using hashtags for so many different purposes, how can you get the most out of hashtags in your social media strategy? This is an excellent question.

 

After all, how do you know which hashtag to use? Which hashtag will get you the most exposure? How do you register a hashtag for your business?

 

This post will explore seven different hashtag tools that you can use to answer these questions and more....


Via Jeff Domansky
Stephen Dale's insight:

For those who know how to use hashtags - and recognise their importance, some useful tools for tracking and analysis:

 

Tagboard - for what is being said under a specific hashtag

Topsy - to see what's trending

Tweetreach - to see the reach (number of unique accounts and total impressions for a give hashtag).

Hashatgify - for seeing what other hashtags correlate for a given hashtag

Ritetag - for optimizing your use of hashtags.

Tweet Binder - to see who is using a specific hashtag

Twubs - to register a hashtag and create a branded page around it

 

#sna

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Jeff Domansky's curator insight, May 20, 2014 12:36 PM

Practical tips for better research using hashtags.

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Linkurious. See Graph Databases Easily - Linkurious helps you to visualize your graph database through a simple web-based interface.

Linkurious. See Graph Databases Easily - Linkurious helps you to visualize your graph database through a simple web-based interface. | Social Network Analysis | Scoop.it
Stephen Dale's insight:

Linkurious helps you make sense of your graph data through a simple web-based interface.

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Social Network Analysis in Two Parts

Part 1: Concepts and Cases (the language of networks, networks in organizations, case studies and key concepts) Part 2: (Starts on #44) Mapping Organizationa...
Stephen Dale's insight:

Excellent introduction into the importance and benefits of SNA from Patti Anklam

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Study maps Twitter’s information ecosystem | Al Jazeera America

Study maps Twitter’s information ecosystem | Al Jazeera America | Social Network Analysis | Scoop.it
New research outlines the six types of communities on the social network and what that means for communication
Stephen Dale's insight:

A report from the Pew Research Internet Project highlights how researchers have developed six general models of the types of communities on the eight-year-old social network. As Pew's researchers see it, these visualisations represent the clearest picture of what civil society looks like when translated into the sprawling wasteland of the Internet.


One of the major lessons of network analysis, both Pew and Menczer emphasise, is that the Twitter commons hasn’t necessarily made society as democratic as techno-utopians would have you believe. Twitter isn’t a wide-open space, free of boundaries or obstacles: It’s a "mirror," as Menczer says, for the social structures of the real world.

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9 ways to understand how ideas spread

9 ways to understand how ideas spread | Social Network Analysis | Scoop.it
A reader named Niko, who is working on a PhD in social network analysis, asked me for my favorite sources about how ideas spread: I am doing a PhD in the field of social network analysis in which I try to determine mutual influence among people who...
Stephen Dale's insight:

Some insightful commentary and useful reading references for anyone who wants to better inderstand the science of how ideas are spread. Interestingly, it's not always the best ideas that win.

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Researchers Draw Romantic Insights From Maps of Facebook Networks today

Researchers Draw Romantic Insights From Maps of Facebook Networks today | Social Network Analysis | Scoop.it
It’s not in the stars after all. Instead, it seems, the shape of a person’s social network is a powerful signal that can identify one’s spouse or romantic partner — and even if a relationship is likely to break up.
Stephen Dale's insight:

Researchers Jon Kleinberg and Lars Backstrom postulate that the total number of mutual friends two people share — embeddedness, in social networking terms — is actually a fairly weak indicator of romantic relationships. Far better, they found, was a network measure that they call dispersion. #sna

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The Key Success Factor in Knowledge Management... What Else? Change...

Presented at SLA 2013, on a panel with Ethel Salonen of MITRE Corporation. Provides perspective on change management and how it is used in understanding and cre
Stephen Dale's insight:

A useful presentation from Patti Anklam, explaining the importance of network analysis for effective knowledge management. To quote from one of the slides:

 

"Knowledge flows along established pathways in organizations. To change the flow of knowledge, you have to change the pathways".

 

Before you change the pathways, it's good to know what the pathways look like.

 

#kmers #sna

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2009-C&T-NodeXL and social queries - a social media network analysi...

Analyzing (Social Media) Networks with NodeXL Marc Smith1, Ben Shneiderman2, Natasa Milic-Frayling3, Eduarda Mendes Rodrigues3, Vladimir Barash4
Stephen Dale's insight:

NodeXL is an extendible toolkit for network overview, discovery and exploration implemented as an add-in to the Microsoft Excel 2007 spreadsheet software. This paper demonstrates NodeXL data analysis and visualization features with a social media data sample drawn from an enterprise intranet social network.

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Mapping Twitter Topic Networks: From Polarized Crowds to Community Clusters

Mapping Twitter Topic Networks: From Polarized Crowds to Community Clusters | Social Network Analysis | Scoop.it
People connect to form groups on Twitter for a variety of purposes. The networks they create have identifiable contours that are shaped by the topic being discussed, the information and influencers driving the conversation, and the social network structures of the participants.
Stephen Dale's insight:

A detailed look at how to analyse Twitter Topic Networks using NodeXL.

 

From the article:

 

Social media is increasingly home to civil society, the place where knowledge sharing, public discussions, debates, and disputes are carried out. As the new public square, social media conversations are as important to document as any other large public gathering. Network maps of public social media discussions in services like Twitter can provide insights into the role social media plays in our society. These maps are like aerial photographs of a crowd, showing the rough size and composition of a population. These maps can be augmented with on the ground interviews with crowd participants, collecting their words and interests. Insights from network analysis and visualization can complement survey or focus group research methods and can enhance sentiment analysis of the text of messages like tweets.

 

Like topographic maps of mountain ranges, network maps can also illustrate the points on the landscape that have the highest elevation. Some people occupy locations in networks that are analogous to positions of strategic importance on the physical landscape. Network measures of “centrality” can identify key people in influential locations in the discussion network, highlighting the people leading the conversation. The content these people create is often the most popular and widely repeated in these networks, reflecting the significant role these people play in social media discussions.

 

While the physical world has been mapped in great detail, the social media landscape remains mostly unknown. However, the tools and techniques for social media mapping are improving, allowing more analysts to get social media data, analyze it, and contribute to the collective construction of a more complete map of the social media world. A more complete map and understanding of the social media landscape will help interpret the trends, topics, and implications of these new communication technologies.

 

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How Networks Are Revolutionizing Scientific (and Maybe Human) Thought | Guest Blog, Scientific American Blog Network

How Networks Are Revolutionizing Scientific (and Maybe Human) Thought | Guest Blog, Scientific American Blog Network | Social Network Analysis | Scoop.it
Science and common sense are alike grounded in human experience. Yet these ways of thinking about things are often in conflict. Sometimes the simplicity of most ...
Stephen Dale's insight:

The network revolution has the promise of reshaping our basic expectations of the world around us, and may allow us to recognise that we are not an individualistic, asocial, and quarrelsome creature that comes in bounded linguistic, ethnic, racial, or religious types, but a social species linked to one another by far-reaching network ties.


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Why Social Media Will Fundamentally Change Business

Why Social Media Will Fundamentally Change Business | Social Network Analysis | Scoop.it

Social media is still new enough that many executives wonder what, if any, long-lasting impact it will have on how business is conducted. Is it worth jumping on the bandwagon? Or conversely, is it wiser not to jump, but to wait until there’s greater clarity on whether social is here to stay?

 

Both these questions have a one-word answer.

 

Jump.

 


Via Kenneth Mikkelsen
Stephen Dale's insight:

I'm not sure I entirely agree with the author in saying that social, media is still relatively new. In these fast-moving times, something that has been around for over 10 years should hardly be considered new. However, the author correctly states that Social media technologies are (still) particularly disruptive for business, and that managers are (still) largely distrustful of technologies that might encourage non-work related activities. For the more informed and forward-thinking oorganizations there is the realisation that social media is the conduit that will encourage knowledge, sharing and knowledge integration. They will ultimately be the survivors in this game. 

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Kenneth Mikkelsen's curator insight, September 8, 2014 5:10 PM

Social media technologies may be particularly disruptive for business, because they undermine some of the key reasons why companies survive or thrive. One of the key competitive resources for modern organizations is knowledge, and knowledge integration — the ability to combine, exchange and integrate the diverse knowledge of its employees — is a key function in any firm. Getting people to coordinate knowledge and cooperate on a common task is inherently difficult, and the firm has been the best mechanism for enabling the type of collaboration essential to create, store and apply valuable knowledge.

antonio velardo's curator insight, September 9, 2014 9:14 AM

You can wait around to see how social media is evolving business or you can realize that it is and decide to jump in and help mold how it affects your business specifically. 

The Governance Advisory Practice's curator insight, October 15, 2014 4:58 AM

Social media is still new enough that many executives wonder what, if any, long-lasting impact it will have on how business is conducted. Is it worth jumping on the bandwagon? Or conversely, is it wiser not to jump, but to wait until there’s greater clarity on whether social is here to stay?


Both these questions have a one-word answer.

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Using enterprise social network analysis to discover the informal power players in the company

Using enterprise social network analysis to discover the informal power players in the company | Social Network Analysis | Scoop.it
BY Laurence Lock Lee, Cai Kjaer, and Andrew Birmingham.

Referral networks and informal power players are rarely exposed in organisational charts.

Via Eric Laurent
Stephen Dale's insight:

Traditionally the data needed to feed SNA studies are collected via surveys. However with the advent of enterprise social software platforms like Yammer and Jive, such relationship data can be collected from the activity streams. This facility enables the exposure of cross business collaboration patterns in close to real time.

 

Referral networks are not something you will see published in the corporate directory. But through the use of SNA these referral networks can be exposed. Typically the “quiet achievers” will be heavily nominated central players in the referral network. Additionally, we will often find that those referring to them are drawn from a broad and diverse range of peers.


Reading time: 10 mins

Relevance: 9/10

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Practical Social Network Analysis with Gephi


Via Olivier Milo
Stephen Dale's insight:

A very good introductory guide to Gephi - and much better than trawling through the help files.

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Olivier Milo's curator insight, June 30, 2014 12:42 PM

Step by step guide for using Gephi. I strongly recommend it! Thanks Dr Greene

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Hierarchy is dead! Long live Holacracy! ...Right?

Hierarchy is dead! Long live Holacracy! ...Right? | Social Network Analysis | Scoop.it

Holacracy claims to design out these “features” by changing the concept of organizational structure from one that is autocratic and top-down to one that is decentralized, organic, and bottom-up. Ultimately, the vision of Holacracy is to allow the emergent, creative properties of the individuals playing roles within an organization to self-organize and flourish, much like human cells are organized into organs, which in turn are organized into bodies and minds, which in turn go forth into the world to express their purpose as humans.Why do so many articles on implementations of management-less companies being referred to as “eliminating hierarchy” mix that with Holacracy? Why would a company then need Holacracy?


Take the Zappos gets rid of managers example – read on because there’s no mentioning of eliminating hierarchy. They are implementing a holacracy for a clear Purpose: they attempt to prevent bureaucracy from infiltrating Zappos, while maintaining a start-up culture within what is now, a quite large organization. They attempt to build Resilience against bureaucracy. It is what they believe to be needed to maintain a start-up culture.

 


Via Kenneth Mikkelsen
Stephen Dale's insight:

The article challenges the assumption that holocracy eliminates hierarchies. From the piece: 

 

"Holacracy claims to ....change  the concept of organizational structure from one that is autocratic and top-down to one that is decentralized, organic, and bottom-up. Ultimately, the vision of Holacracy is to allow the emergent, creative properties of the individuals playing roles within an organization to self-organize and flourish, much like human cells are organized into organs, which in turn are organized into bodies and minds, which in turn go forth into the world to express their purpose as humans."


#socbiz

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Patrick Verdonk's comment, May 3, 2014 11:19 AM
Eli Levine: the question is if it makes sense to apply holacracy to governments. If you read Lex Sisney's article I reference in this post he draws out how holacracy actually has quite some characteristics of the US Government. However governments are one layer in the greater hierarchy of an ecosystem, more to come on that - promise
Eli Levine's comment, May 3, 2014 11:31 AM
Patrick: I was wondering how it could be applied within the government agencies, I see how it can be applied from government to the larger social and environmental ecosystems. Sorry for the confusion! :)
AleksBlumentals's curator insight, May 6, 2014 3:58 AM

The ideas we have developed and used for at least 4 decades are gradually becoming incorporated into how we think of organizations on a more regular basis

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Optimal network clustering for information diffusion

We investigate the impact of community structure on information spreading with the linear threshold model. Contrary to the common belief that communities hinder information diffusion, we show that strong communities can facilitate global cascades by enhancing local, intra-community spreading. Using both analytical approaches and numerical simulations, we demonstrate the existence of optimal clustering, where global cascades require the minimal number of early adopters.

 

Azadeh Nematzadeh, Emilio Ferrara, Alessandro Flammini, Yong-Yeol Ahn

"Optimal network clustering for information diffusion"

arXiv:1401.1257

http://arxiv.org/abs/1401.1257


Via Complexity Digest
Stephen Dale's insight:

Research paper on optimal network structures for information diffusion.

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june holley's curator insight, May 3, 2014 7:40 AM

Basically states that what we call a Smart Network (loosely connected clusters) is optimal for incubating new ideas and then spreading them.

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Using Social Graphs To Understand Your Enterprise Social Network [Video] - Business 2 Community

Using Social Graphs To Understand Your Enterprise Social Network [Video] - Business 2 Community | Social Network Analysis | Scoop.it
Stephen Dale's insight:

This two part series looks at ways of presenting the activity and connections in your social network to illustrate where it is working well, and where further work is required.

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Social Network Analysis 101 - Lithium Community

Social Network Analysis 101 - Lithium Community | Social Network Analysis | Scoop.it
Michael Wu, Ph.D. is Lithium's Principal Scientist of Analytics, digging into the complex dynamics of social interaction and online communities.
...
Stephen Dale's insight:

A useful primer for anyone who wants to get a better understanding of the principles and benefits of SNA.  Simply put, SNA is the analysis of social networks and a social network is just a network of entities that are connected by the relationship among the entities. 


The article goes on to describing how to read and interpret a Social Graph, emphasising the importance of what relationships are being represented by the edges (the connecting links).

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The New Rules Of Disruption

The New Rules Of Disruption | Social Network Analysis | Scoop.it
The formula for disruption is not necessarily becoming smarter, but becoming more aware and creating organizations that can adapt in real time.
Stephen Dale's insight:

There's much to recommend in this blog post, not least its advocacy for the growing importance of networks for getting work done , noting as well their disruptive effects on traditonal power-and-control hierarchies. "Networks trump hierarchies",  could not be more profound on this point. We can no longer petend that organizational charts and diagrams amount to anything more fantasy. 

 

The article goes on to pinpoint the strength of key relationships is more important than budgets, marketing or leadership.

 

However, the real reason for choosing this piece was the references to Social Network Anlaysis (SNA) for revealing actionalble insights to a complex networks - a much underutilised discipline in today's "social business" hype. Reference the following abstract:

 

"When Edward Snowden revealed that the NSA was collecting all of the metadata from our phone calls, people were horrified.  Were they listening in on our calls?  Why do they need my data?  What good could it do?  The answer is far less nefarious than many suspect.

For years, the NSA has been using social network analysis to evaluate terrorist threats. They employed it after 9-11, which is how they were able to decipher the leadership structure of the terrorist network immediately after the attack.  Now, they use it in real time and can see threats as they form.

 

Valdis Krebs, of Orgnet, who wrote a widely admired paper on the NSA methods, says that learning how to weaken terrorist organizations has opened up new approaches to strengthen businesses.  His company consults for a variety of organizations—from Fortune 500 corporations to non-profits—and helps them improve their internal networks.

 

Social network analysis is being deployed in a variety of fields and will be immensely valuable in the business world, but for more than just heading off threats.  By mapping connections, we can evaluate how people collaborate, what steps can be taken to improve information flow and how we can target consumers more effectively."

 

Value: 9/10

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A Series of Tsunamis are Underway: Leaders Must Learn How to Surf the Waves

A Series of Tsunamis are Underway: Leaders Must Learn How to Surf the Waves | Social Network Analysis | Scoop.it

Excerpt from article:

 

Social Network Analysis illuminates otherwise hidden perspectives of the organization. Beyond the traditional top-down hierarchy, it uncovers the tapestry of perceptions, workplace relationships, and invisible barriers that largely dictate how work gets done. Managers can use this knowledge in a recalibrated twenty-first century leadership style.

Stephen Dale's insight:

An organizational chart doesn't reveal how work gets done. For this you require an understanding of your network(s) - SNA.

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Kenneth Mikkelsen's comment, August 24, 2013 1:19 PM
Thank you for sharing the article Stephen. I highly appreciate it.
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Social Network Analysis in Construction (PDF) - Tinydl.Com

Social Network Analysis in Construction (PDF) - Tinydl.Com | Social Network Analysis | Scoop.it
Stephen Dale's insight:

The objective of the book is to make accessible the ways in which social network analysis (SNA) may be used to observe, monitor and analyse systems and relationships in major construction project coalitions. Although this has been an established analytical technique in the US for some time, it is only now being developed in the UK.

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