Influence et cont...
Follow
Find
3.0K views | +0 today
Influence et contagion
Trends sur l'influence et la contagion dans la cyberculture
Curated by luiy
Your new post is loading...
Scooped by luiy
Scoop.it!

Infographic: Which CEOs have the Most Influence According to Klout? - Forbes

Infographic: Which CEOs have the Most Influence According to Klout? - Forbes | Influence et contagion | Scoop.it
Infographic: Which CEOs have the Most Influence According to Klout?
more...
No comment yet.
Scooped by luiy
Scoop.it!

Learning the Science of Prediction: How do You Kno... - Lithosphere Community

Learning the Science of Prediction: How do You Kno... - Lithosphere Community | Influence et contagion | Scoop.it
This post is the first of a two part article addressing the question: How do you know if your influence score is correct? Today, I won’t actually answ
luiy's insight:

Conclusion


Today we illustrated the predictive validation framework through an example of predicting Apple’s stock price. This predictive validation framework is very general and can be used to validate any models (or algorithms).

 

To properly validate a model (any model), we must be able to compare the model’s predicted outcome with an independent measure of the outcome. Here, the outcome can be literally anything (e.g. stock price, influence, weather, earthquake, etc.). I’d like to re-emphasize the importance of having anindependent measure that is truly independent of the model. That means you cannot use this measure anywhere in your model. Otherwise, the validation procedure will be confounded by circular reasoning.

 

Alright, now you know how to validate any model, next time we shall apply this framework to analyze the models that influence vendors use to score people’s influence. And we will be able to answer the question posed at the beginning of this post: How do you know if your influence score is correct?

 

Stay tuned... Have a warm and relaxing Thanksgiving... And see you next time.

more...
No comment yet.
Scooped by luiy
Scoop.it!

Adaptive Influence Model: Fixing the Influence Iro... - Lithosphere Community

Adaptive Influence Model: Fixing the Influence Iro... - Lithosphere Community | Influence et contagion | Scoop.it
Last time we took a quick peek at the history of SEO, and we saw that influence engine optimization (IEO) is an inevitable consequence of scoring peop
luiy's insight:

If you look back at the Webster’s definition of influence that I quoted earlier (seeWhat is Influence, Really? – No Carrots, No Sticks, No Annoyance, No Tricks), it says: “The power or capacity of causing an effect in indirect or intangible ways : sway.” So, whatever the effects are (i.e. the changes in thought or behavior), it must be caused through “indirect or intangible ways.”

 

What does this mean? It is actually a subtle but important point that many discussions about influence have overlooked. It means that influence shouldn’t be something that people can affect directly and easily. This is the key to fixing the influence irony. Because people would otherwise be able to game the system and raise their own influence score without doing anything influential.

 

Why is the “Influence Irony” so Challenging?

To mitigate the gaming of influence, vendors must ensure that people can’t directly affect their influence. However, influence should be something that people can affect through their actions. Otherwise people’s influence will never change. Soinfluence is something that people can affect, but not directly or easily.

 

What is an Adaptive Influence Model?

First let me clarify the difference between an adaptive model vs. an adaptive score:

An adaptive influence score means that the score is adaptive to the behavior of the individual. Most influence algorithms already do this by incorporating a timing factor in their influence scoring algorithm. This is easy, because when an individual’s behaviors changes, his social media activity data will also change to reflect his behaviors. Since each person’s influence score is computed from his social media activity data, the score will obviously change, because the input data to the model has changedAn adaptive influence model means the algorithm that calculates the score will change and adapt to the behaviors of thepopulation. Most influence vendors do not do this, because it is much harder. However, it is this evolution of the model that is going to fix the influence irony. Let’s take a look at what this means in greater detail

more...
No comment yet.
Rescooped by luiy from Front National
Scoop.it!

Blogosphère d’extrême droite : cartographie des réseaux d’influence

Blogosphère d’extrême droite : cartographie des réseaux d’influence | Influence et contagion | Scoop.it

« Fachosphère », « conservatosphère » ou « réacosphère » : les mots ne manquent pas. Mais aucun ne permet de rendre compte de la place occupée par l’extrême droite sur le Web français, car tous recouvrent des courants et des communautés bien différentes. Pour établir une cartographie synthétique, nous avons passé au crible 377 sites et blogs situés à la droite de la droite ou à sa périphérie.

ATTENTION : tous les blogs cités dans cette carte ne peuvent pas nécessairement être considérés comme étant à l’extrême droite de l’échiquier politique. Ils y figurent néanmoins car ils font référence auprès d’une communauté qui, elle, fait partie de la droite de la droite (voir la discussion dans les commentaires au bas de l’article). Il s’agit donc plus d’une carte représentant des réseaux d’influence que des communautés figées. ...


Via Jacques Urbanska
more...
No comment yet.
Scooped by luiy
Scoop.it!

Technorati Media’s 2013 Digital Influence Report | Technorati Media

luiy's insight:
Technorati Media’s 2013 Digital Influence Report

Founded over a decade ago, Technorati Media has grown into one of the largest social media ad networks bringing top brands and valuable influencers together at scale. With an advertising reach of approximately 130 million US unique users/month, sit in the middle of an incredible social media nexus and have long believed that our data, relationships and unique perspective are important elements for us to share.

 

With this in mind, we present to you our 2013 Digital Influence Report, which replaces our historical State of the Blogosphere and expands the concept of all things social. We hope you’ll benefit from the valuable insights culled from surveys that included over 6,000 influencers, 1,200 consumers and 150 top brand marketers.

more...
No comment yet.
Rescooped by luiy from Influenced
Scoop.it!

50 social media monitoring and content creation tools

50 social media monitoring and content creation tools | Influence et contagion | Scoop.it

Section headers and subheaders:

 

Listening/Research

* General listening tools

* Specific listening tools

* General research tools

 

Content Creation/Curation

* Publishing / blogging

* Content discovery / curation

 

Engagement

* Dashboards

* Blog comments

* Website analytics

* Social media analytics tools

 


Via Andrew Spong
more...
No comment yet.
Scooped by luiy
Scoop.it!

iMedia Connection: - How to measure and influence brand awareness online

iMedia Connection: - How to measure and influence brand awareness online | Influence et contagion | Scoop.it
RT @CathyESmith: How to measure and influence brand awareness online http://t.co/wg3jtW7a
more...
No comment yet.
Rescooped by luiy from Digital Strategy and Influence
Scoop.it!

How the African diaspora is using social media to influence development

How the African diaspora is using social media to influence development | Influence et contagion | Scoop.it
TMS Ruge: So long as our collective voice and our money continue to engage the continent, our political influence won't be far behind

Via Infoguerre
more...
No comment yet.
Rescooped by luiy from Online Relations & Community management
Scoop.it!

The cardinal rule of community management: don't feed the trolls

The cardinal rule of community management: don't feed the trolls | Influence et contagion | Scoop.it
Anita Hovey discusses the temptation to engage social instigators (“trolls”) and the reasons not to.

Via eRelations
more...
No comment yet.
Rescooped by luiy from Options Time
Scoop.it!

European Contagion, The Domestic Banks, & the S&P 500

European Contagion, The Domestic Banks, & the S&P 500 | Influence et contagion | Scoop.it

The price action in U.S. financial markets on Wednesday was the culmination of fear and disease.

Fear was represented by a breakout in the Volatility Index (VIX) and the disease was related to the sovereign debt crisis unfolding in the Eurozone.

The violent reaction by the Greek citizenry to proposed austerity measures paired with grumblings coming from multiple Eurozone nations ignited fear among traders and investors alike.


Via Alessandro De Angelis
more...
No comment yet.
Rescooped by luiy from Papers
Scoop.it!

Derivatives and credit contagion in interconnected networks

The importance of adequately modeling credit risk has once again been highlighted in the recent financial crisis. Defaults tend to cluster around times of economic stress due to poor macro-economic conditions, but also by directly triggering each other through contagion. Although credit default swaps have radically altered the dynamics of contagion for more than a decade, models quantifying their impact on systemic risk are still missing. Here, we examine contagion through credit default swaps in a stylized economic network of corporates and financial institutions

 

Derivatives and credit contagion in interconnected networks

S. Heisea and R. Kühn

Eur. Phys. J. B (2012) 85: 115


Via Complexity Digest
more...
No comment yet.
Rescooped by luiy from Empathy and Compassion
Scoop.it!

Study: PLOS ONE: In Bonobos Yawn Contagion Is Higher among Kin and Friends

Study: PLOS ONE: In Bonobos Yawn Contagion Is Higher among Kin and Friends | Influence et contagion | Scoop.it

In humans, the distribution of yawn contagion is shaped by social closeness with strongly bonded pairs showing higher levels of contagion than weakly bonded pairs. This ethological finding led the authors to hypothesize that the phenomenon of yawn contagion may be the result of certain empathic abilities, although in their most basal form. Here, for the first time, we show the capacity of bonobos (Pan paniscus) to respond to yawns of conspecifics.... The importance of social bonding in shaping yawn contagion in bonobos, as it occurs in humans, is consistent with the hypothesis that empathy may play a role in the modulation of this phenomenon in both species.

 

Elisa Demuru
Elisabetta Palagi 


Via Edwin Rutsch
more...
No comment yet.
Rescooped by luiy from Social Media and its influence
Scoop.it!

Irish and German regulators confirm: Facebook has deleted all facial recognition data for EU users

Irish and German regulators confirm: Facebook has deleted all facial recognition data for EU users | Influence et contagion | Scoop.it
After examining parts of Facebook’s source code, the Irish Data Protection Commissioner (DPC) and a German data protection regulator have both confirmed that the social network has ...

Via Gust MEES
more...
Gust MEES's curator insight, February 7, 2013 8:02 AM

Privacy matters!!!

 

Scooped by luiy
Scoop.it!

SOYEZ NET SUR LE NET | LE TEST

SOYEZ NET SUR LE NET | LE TEST | Influence et contagion | Scoop.it

Bienvenue.

Ici vous allez pouvoir jauger votre e-réputation.

Savez-vous quelle image vous renvoyez sur Internet ? Qui peut voir vos photos, vos statuts, vos données personnelles? Grâce à ce test vous saurez si vous gérez correctement toutes ces informations sur Internet.

8 questions vont vous êtes posées et vous serez chronomètré. Plus vous serez honnête dans vos réponses, plus le résultat du test sera proche de la réalité.

Alors si vous êtes prêts, c’est parti.

more...
No comment yet.
Scooped by luiy
Scoop.it!

The Missing Link of Influence: The Potential to In... - Lithosphere Community

The Missing Link of Influence: The Potential to In... - Lithosphere Community | Influence et contagion | Scoop.it
In my previous posts, I defined influence and discussed why brands don’t seem to understand digital influence . Today, we are ready to talk about t
luiy's insight:

he Big Missing Link of Influence

So when does real influence take place? To be absolutely rigorous and correct, no one knows for sure. But we do know when influence will occur with high probability. That is when the influencer’s potential to influence is aligned with the influencee’s potential to be influenced.

 

Because all that influence vendors have is a score that is indicative of the influencer’s potential to influence, there is a missing link in the influence industry today, and it is the influencee’s capacity to be influence. A couple years ago when I introduced a simple influence model, I found four categories of attributes that characterize the influencees’ likelihood to be influenced:

content relevancetiming (or temporal relevance)channel alignmentconfidence (a.k.a. trust)

 

Today, several influence vendors have implemented timing and channel alignment, and to a much lesser extent relevance. However, they have implemented these as attributes of an influencer, whereas they should be attributes of the influencee. For example, influence vendors treat timing as an influencer attribute, which indicates when the influencer’s frequency of communication changes. But the timing that I talk about is an attribute of the influencees, and it characterizes the temporal window within which the influencees are susceptible to being influenced.

 

No wonder, brands don’t get influence, because I don’t even think the influence vendors get influence. In reality, an influencer’s potential to influence has little correlation with his frequency of communication.

 

For example, President Obama’s potential to influence is the same regardless of whether he communicates or not. His actual influence (i.e. how many people he actually influenced) does change depending on how much he communicates. But influence vendors do not measure actual influence; they can only estimate someone’s potential to influence. By including the timing factor as an attribute of the influencers just tells me that even the influence vendors do not understand the difference between the potential to influence and real influence.

 

 

Conclusion

Most influence vendors focus on measuring the social capital of the influencer, but real influence occurs when a change in thought or behavior is produced in the influencee (i.e. person being influenced)This is the missing link of influence: the link from the “potential to influence” to the “potential to be influenced.” Real influence can only occur when there is an alignment between these two. In fact, this is the minimum required state

 

Influencer marketing has huge potential. But as an industry we are far from realizing this potential. Partly is because influence is a challenging concept that involves much more than just the influencers themselves. Moreover, there are many big data and analytics challenges in accurately estimating someone’s potential to influence. But first, influence vendors need to start incorporating more attributes of the influencees into their model in order to improve the accuracy of their influence score.

 

Next time, let’s dig deeper into the algorithms that score influence. In the meantime, if you also do research on digital influence, I’d be happy to discuss your findings here.

more...
No comment yet.
Rescooped by luiy from The Marketing Technology Alert
Scoop.it!

Influence and Social Media Infographic - Croakun

Influence and Social Media Infographic - Croakun | Influence et contagion | Scoop.it

Via iNeoMarketing
more...
iNeoMarketing's curator insight, February 20, 2013 6:01 AM
  • See the article at report.croakun.com
  • Receive a daily summary of The Marketing Automation Alert directly to your inbox. Subscribe here (your privacy is protected).
  • If you like this scoop, PLEASE share by using the links below.
  • iNeoMarketing merges marketing automation with content marketing for a powerful lead management solution, configured and managed by our knowledgeable, experienced staff.  Contact us
Scooped by luiy
Scoop.it!

Social Media Influence: Tips and tools | Mastering Facebook, Google+, Twitter

Social Media Influence: Tips and tools | Mastering Facebook, Google+, Twitter | Influence et contagion | Scoop.it
After a long and stressful week at the office it's time to kick back, relax, and make the most of your weekend.
more...
No comment yet.
Scooped by luiy
Scoop.it!

Social Media Influencers: What Marketers Must Know

Social Media Influencers: What Marketers Must Know | Influence et contagion | Scoop.it
more...
No comment yet.
Rescooped by luiy from Influenced
Scoop.it!

The rise and fall of influence metrics

The rise and fall of influence metrics | Influence et contagion | Scoop.it

Leslie Campisi (@lesliecampisi) writes:

 

'If you've agreed on Klout as a screening tool for a social media campaign, what happens if, two weeks in, your client's influencers just can't be found on Twitter?

 

You'll be forced to scrape the bottom of the Klout barrel for low-score influencers and – if you're an honest PR person – forced to return sheepishly to your client to have the conversation you should have had to begin with: The one where you explain that Klout isn't the definitive social media influence metric of our time.'

 

[AS: An enjoyable piece, marred by the author's land-grabbing claim that 'how influence is measured should be the domain of the PR pro, not a tech startup', which made me chuckle.]


Via Andrew Spong
more...
No comment yet.
Scooped by luiy
Scoop.it!

Inspiration and Influence: Who Do You Follow?

Inspiration and Influence: Who Do You Follow? | Influence et contagion | Scoop.it
Where do you find inspiration and influence in your creative work? Sometimes it shows up deep in the past.
more...
No comment yet.
Rescooped by luiy from Social Foraging
Scoop.it!

Socially-Central Zebrafish Influence Group Behavior More than Those on the Social Periphery

Socially-Central Zebrafish Influence Group Behavior More than Those on the Social Periphery | Influence et contagion | Scoop.it

Certain individuals are more effective than others at using individual experience to impact group behavior. Here, we tested whether pre-training of zebrafish that are at the focal central of social group dynamics (“Key” fish) has a stronger positive impact on group performance than does pre-training of less central (“Non-Key”) fish. We used very short observation periods and social network statistics to identify Key and Non-Key individuals, trained these fish to respond to an aversive stimulus, and then measured group performance after returning these now-experienced fish to a social setting. Although Key and Non-Key fish evaded the stimulus equally quickly as individuals, groups with experienced Key fish escaped the aversive stimulus more quickly than did groups with experienced Non-Key fish. The impact depended on genetic background: PN zebrafish on the social extremes (more often males) influenced the group's baseline response to the aversive stimulus, whereas experienced Scientific Hatcheries' zebrafish (both males and females) influenced the change in response over repeated trials. These results suggest that social roles are an important feature of information transfer across a group, and set the stage for future research into the genetic and evolutionary basis of social learning.


Via Ashish Umre
more...
No comment yet.
Rescooped by luiy from Tecnología Educativa S XXI
Scoop.it!

Book of the Day: Virality. Contagion Theory in the Age of Networks

Book of the Day: Virality. Contagion Theory in the Age of Networks | Influence et contagion | Scoop.it

Via juandoming, PuertoTICs
more...
No comment yet.
Rescooped by luiy from Papers
Scoop.it!

Duncan Watts - Social contagion: What do we really know?

Duncan Watts - Social contagion: What do we really know? | Influence et contagion | Scoop.it

Social contagion: What do we really know? by Duncan Watts


Via Complexity Digest
luiy's insight:

The phenomenon of social contagion—that information, ideas, and even behaviors can spread through networks of people the way that infectious diseases do—is both intuitively appealing and potentially powerful.

It appeals to our intuition for two reasons. First, it is obviously true that people are influenced by one another. Reflecting on our individual experience of life, it is easy to recall any number of instances in which we have been influenced, whether by our parents, our teachers, our coworkers, or our friends, and corresponding instances when we have influenced them. And second, once you accept that one person can influence another, it follows logically that that person can influence yet another person, who can in turn influence another person, and so on. Influence, that is, can spread.

more...
No comment yet.
Rescooped by luiy from Talks
Scoop.it!

Joseph E. Stiglitz: Crisis, Contagion, and the Need for a New Paradigm

Joseph E.Stiglitz: Crisis, Contagion, and the Need for a New Paradigm Talk given at the Latsis Symposium 2012 "Economics on the Move" in Zurich, see http://www.multimedia.ethz.ch/conferences/2012/latsis...

Via Complexity Digest
more...
No comment yet.
Rescooped by luiy from Branding, Influence & Reputation
Scoop.it!

Les 11 principes de la gestion de marque sur Internet

Les 11 principes de la gestion de marque sur Internet | Influence et contagion | Scoop.it

E-réputation, référencement, animation de communauté, astuces pour faire le buzz... Georges Lewi et Pierre-Louis, auteurs du livre "La Marque"


Via C-Marketing
more...
C-Marketing's curator insight, February 8, 2013 3:18 PM

11 clés à connaître pour gérer son image de marque sur internet.