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25 Oct 09

Facebook heute: 30.000 Server, 200 Mill. aktive Nutzer, 2-3 Milliarden neue Fotos pro Monat

www.golem.de/70585.html - Preview

news statistics facebook socialnetworks

22 Oct 09

Internet: Höfische Gesellschaft 2.0 – Seite 2 | Digital | ZEIT ONLINE

(wieder mal ein tendenziöser Artikel von Soboczynsky)

www.zeit.de/...Gesellschaft-Soziale-Netzwerke - Preview

Socialnetworks web2.0

Facebook gibt die Regeln vor, nach denen eine Freundschaftsanfrage abgewehrt wird, ein Link gesetzt werden kann oder eine Kontaktaufnahme vollzogen wird. Der Konzern formalisiert damit für über 300 Millionen Nutzer das soziale Leben. Google liefert den Algorithmus für Suchergebnisse, strukturiert Relevanz. Die Enzyklopädie Wikipedia dominiert längst ein Wächterrat, der Einträge zensiert und Qualitätssicherung betreibt. Das Netz ist so umfassend reglementiert wie die Libertinage in Versailles durch rigide Etikette.

02 Oct 09

Facebooks Formular für Verblichene – Online-Identitäten nach dem Tod | Gründerszene

www.gruenderszene.de/...nline-identitaten-nach-dem-tod - Preview

remembrance Socialnetworks Facebook

29 Sep 09

More Proof: Facebook for the Rich, MySpace for the Poor

www.readwriteweb.com/..._rich_myspace_for_the_poor.php - Preview

facebook myspace socialnetworks inequality Internetstudies

06 Aug 09

Why Teens Don’t Tweet

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twitter Generation socialnetworks

19 Jul 09

Web 2.0 and Cloud Computing - O'Reilly Radar

Any web application is a cloud application in the sense that it resides in the cloud. Google, Amazon, Facebook, twitter, flickr, and virtually every other Web 2.0 application is a cloud application in this sense.

radar.oreilly.com/...eb-20-and-cloud-computing.html - Preview

web2.0 CloudComputing socialnetworks

Any web application is a cloud application in the sense that it resides in the cloud. Google, Amazon, Facebook, twitter, flickr, and virtually every other Web 2.0 application is a cloud application in this sense.

14 Jul 09

Verbraucherzentrale Bundesverband leitet gegen MySpace, Facebook, lokalisten,Werkenntwen & Xing Unterlassungsverfahren ein

www.vzbv.de/...index.html - Preview

socialnetworks privacy news

31 May 09

Similarities and Differences in Online Social Network Use Between Teens and Adults

www.pewinternet.org/...Online-Social-Network-Use.aspx - Preview

socialnetworks SocialWebStudies

05 Apr 09

Dealing with hate speech, flaming, and trolls - Computers, Freedom, and Privacy - a Wikia wiki

cfp.wikia.com/...peech%2C_flaming%2C_and_trolls - Preview

communitymanagement socialnetworks trolls flamewars hatespeech

22 Mar 09

Maintained Relationships on Facebook | overstated

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facebook socialnetworks statistics

We were asked a simple question: is Facebook increasing the size of people’s personal networks?
On Facebook, the average number of friends that a person has is currently 120^[2]
3 more annotations...
- As a subset of the people you know, there are some individuals with whom you communicate on an ongoing basis. The number of individuals that represent a person’s core support network has been found to be much, much smaller than their entire network. Peter Marsden found the number of people with whom individuals “can discuss important matters” numbers only 3 for Americans^[3].
- Facebook and other social media allow for a type of communication that is somewhat less taxing than direct communication. Technologies like News Feed and RSS readers allow people to consume content from their friends and stay in touch with the content that is being shared. This consumption is still a form of relationship management as it feeds back into other forms of communication in the future.
- This type of communication is the core of the Facebook experience,

11 Mar 09

Mehr Privatheit, mehr Jugendschutz: Betreiber sozialer Netzwerke unterzeichnen Verhaltenskodex

www.heise.de/...134387 - Preview

socialnetworks privacy news

08 Mar 09

Empirical Study: Twitter is not a Social Network « iRevolution

irevolution.wordpress.com/...witter-is-not-a-social-network - Preview

twitter socialnetworks statistics

05 Mar 09

Bundestag debattiert über soziale Netzwerke: mehr Transparenz und Datensicherheit gefordert

www.tagesschau.de/...sozialenetzwerke104.html - Preview

socialnetworks news

25 Feb 09

Repräsentativumfrage „Kommunikationsverhalten deutscher Internet-Nutzer": 58% in sozialen Netzwerken aktiv

faz-community.faz.net/...e-mail.aspx - Preview

socialnetworks statistics news

Repräsentativumfrage „Kommunikationsverhalten deutscher Internet-Nutzer", die die Universität Augsburg und die Convios Consulting GmbH im Auftrag von Web.de erstellt haben
Studi VZ, Schüler VZ und MySpace vor allem bei jungen Menschen sehr bekannt, während Wer-kennt-wen, Xing und Stayfriends eher bei älteren Menschen (über 24 Jahre)
2 more annotations...
- Den höchsten Bekanntheitsgrad weist jedoch Stayfriends mit 48 Prozent auf.
- Spannend ist die Analyse der tatsächlichen Nutzung der sozialen Netzwerke, deren Ergebnisse allerdings nicht unbedingt plausibel sind.

23 Feb 09

Facebook Photos Pulls Away From The Pack

www.techcrunch.com/...hotos-pulls-away-from-the-pack - Preview

socialnetworks statistics facebook

If Facebook has one standout application it has to be Photos. Measured on its own, it is the largest photo site on the Web. A full 69 percent of Facebook’s monthly visitors worldwide either look at or upload photos, based on comScore data. And more than 10 billion photos have been uploaded to the site.

18 Feb 09

Complexity and Social Networks Blog

www.iq.harvard.edu/netgov - Preview

socialnetworks Internetstudies

SOCIAL NETWORKS ARE LIKE THE EYE: A Talk with Nicholas A. Christakis (Edge 238)

www.edge.org/...edge238.html - Preview

obesity ANT socialnetworks contagion

Christakis
notes that he is "interested not in biological contagion, but
in social contagion. One possible mechanism is that I observe you
and you begin to display certain behaviors that I then copy. For
example, you might start running and then I might start running.
Or you might invite me to go running with you. Or you might start
eating certain fatty foods and I might start copying that behavior
and eat fatty foods. Or you might take me with you to restaurants
where I might eat fatty foods. What spreads from person to person
is a behavior, and it is the behavior that we both might exhibit
that then contributes to our changes in body size. So, the spread
of behaviors from person to person might cause or underlie the spread
of obesity.
with
respect to how networks arise, we imagine that the formation of networks
obeys certain fundamental biological, genetic, physiological, sociological,
and technological rules
45 more annotations...
- The amazing thing about social networks,
  unlike other networks that are almost as interesting — networks
  of neurons or genes or stars or computers or all kinds of other things
  one can imagine —
  is that the nodes of a social network — the entities, the components
  — are themselves sentient, acting individuals who can respond to
  the network and actually form it themselves.
- I began
  to see in a very real way that the illness of the person dying was
  affecting the health status of other individuals in the family. And
  I began to see this as a kind of non-biological transmission of disease — as
  if illness or death or health care use in one person could cause illness
  or death or health care use in other people connected to him. It wasn't
  an epidemic transmission of a germ; something else was happening. This
  is a very basic observation about what I now call “interpersonal
  health effects,”
- Nowadays,
  most people have these very distinct visual images of networks because
  in the last ten years they have become almost a part of pop culture. But
  social networks were studied in this kind of way beginning in the 1950s
- Georg Simmel
- people
  like Mark Granovetter, Stan Wasserman, Ron Burt, and others
- But we are of course connected to each
  other through vastly larger, more complex, more beautiful networks of
  people. Networks of thousands of individuals, in fact. These networks
  are in a way living, breathing entities that reproduce, and that have
  a kind of memory. Things flow through them and they have a purpose and
  can achieve different things from what their constituent individuals
  can.
- We can start
  with the tiny case of a man and a woman — a pair of individuals — one
  of whom is sick and the other of whom cares (partly from altruistic
  reasons) for that person. Stepping back to see them not as individuals,
  but focusing on the tie that connects them as the object of inquiry,
  we see that they are embedded in larger sets of such networks, which
  forces us to engage with a set of fundamental social scientific and
  philosophical problems — in fact moral problems
  — that people have been concerned with for millennia.
- These methods
  incidentally were built on some efforts by very well-known Hungarian
  mathematicians who studied a branch of mathematics known as topology,
  which itself has an interesting and old history stretching back to
  Euler. Beginning in the 1990s, there was a kind of resurrection of
  network science, initially caused by a group of physicists and mathematicians
  who were actually tackling problems in other domains. For instance,
  people interested in networks of genes, or cellular networks, or networks
  of neurons, like my colleague Laszlo Barabasi.
- we are at a moment where — because of modern telecommunications
  technologies and other innovations —
  people are leaving digital traces of where they are, who they are interacting
  with, and what they are saying or even thinking. All of these types of
  data can be captured by the deployment of what I call “massive
  passive” technologies and used to engage social science questions
  in a way that our predecessors could only dream of.
- Since the late 1990s and into the 2000s science more generally
  has been engaged in what I call the “assembly project” of
  modern science.
- How do we reassemble all of the genes and understand how they
  interact with each other in space and across time?
- And similarly,
  in social science, there is an increasing interest in the same kind
  of phenomenon.
- We
  have, for example, consciousness, which cannot be understood by studying
  neurons. Consciousness is an emergent property of neuronal tissue.
  And we can imagine similarly certain kinds of emergent properties of
  social networks that do not inhere in the individuals — properties
  that arise because of the ties between individuals and because of the
  complexity of those ties.
- And as we have been thinking about it, we have come up with some initial
  simple ideas, and some initial intriguing and very novel empirical
  observations. The simple ideas are the following: it is critical when
  you think of networks to think about their dynamics. A lot of times,
  people fail to understand networks because they focus on the statics.
  They think about topology; they think about the architecture of the
  network.
- But here
  is something else: Once you have recognized that there is a topology,
  the next thing you must understand is that there can be a contagion
  as well — a kind of process of flow through the network.
- Things
  move through it
- Understanding how things flow through the network is a
  different challenge from understanding how networks form or evolve.
  It is the difference between the formation and the operation of the
  network, or the difference between its structure and its function.
  Or, if you see the network as a kind of super-organism, it is the difference
  between the anatomy and the physiology of the super-organism, of the
  network. You need to understand both.
- we have started with several
  projects that seek to understand the processes of contagion
- So we have
  been investigating both what causes networks to form and how networks
  operate.
- It also includes the basic
  idea that there is something contagious that is spreading from person
  to person.
- We wanted
  to study whether this was the case. Could obesity flow through networks? Could
  one person's body type actually influence the body type of others around
  him, and around them, and around them, in a cascade effect?
- How did we do that? We needed
  to come up with a source of data that contained information about people's
  position in a network, the architecture of their ties — who they
  knew and who those people knew and who those people knew and so forth.
  We also needed a source of data on people's weight and other information
  about them. And we needed it for a long period of time with repeated
  observations on these people.
- What we found when we did this
  study is that weight gain in your friends makes you gain weight and
  weight gain among people beyond what we call your “social horizon” ripples
  through the network and affects you.
- To us, it
  is a very, very fundamental observation that things happening in a
  social space beyond your vision — events that occur or choices
  that are made by people you don't know — can cascade in a conscious
  or subconscious way through a network and affect you. This is a very
  profound and fundamental observation about the operation of social
  life, which we initially examined while looking at obesity.
- Moreover, people beyond those
  to whom you were directly tied also influenced your weight, people
  up to three degrees removed from you in the network. And, incidentally,
  we found that weight loss obeys the same properties and spreads similarly
  through the network.
- In the case of obesity, we formulated a variety of ideas
- One possible
  mechanism is very simple, which is biological contagion.
- We are interested
  not in biological contagion, but in social contagion. One possible
  mechanism is that I observe you and you begin to display certain behaviors
  that I then copy.
- A completely
  different mechanism would be for there to be not a spread of behaviors,
  but a spread of norms. I look at the people around me and they are
  gaining weight. This changes my idea, consciously or subconsciously,
  about what is an acceptable body size.
- In our empirical
  work so far, we have found substantial evidence for the latter mechanism,
  the spread of norms, more than the spread of behaviors.
- Geographic distance did not mater to
  the obesity effect, the interpersonal effect.
- This finding, coupled with the finding regarding
  the lack of decay with geographic distance, suggests to us that it
  is a norm rather than a behavior that is spreading.
  
  Why? Because
  for a behavior to spread, typically, you and I would have to be together.
- But a norm can fly through the ether. I might see you
  once a year and see that you have gained a tremendous amount of weight,
  which resets my idea about what an acceptable body size is.
- But if I see him and he has gained a
  lot of weight, it can change my idea about what an acceptable body
  size is and, in that way, the spread of the norm can cause the spread
  of obesity.
- Happiness spreads in networks. If your friend's
  friend becomes happy, it ripples through the network and can make you
  happy. We see clusters of happy and unhappy individuals in the social
  network like blinking lights in this complex fabric that is made up
  of people where some people are happy and some people are unhappy and
  there is a kind of gray zone between them.
- We have found
  that depression can spread, and drinking behaviors can spread, and
  the kinds of foods people choose to eat can spread (a taste for tastes
  can spread, as one of my graduate students is studying).
- This is
  the difference between ideology and norms. People see these images
  of super models, but they might be less influenced by them than by
  the actions and appearance of the people immediately around them.
- The real
  explanations for the obesity epidemic are exclusively socio-environmental
  — things having to do with the increasing consumption of calories
  in our society: food is becoming cheaper, the composition of food is
  changing, there is increasing marketing of foodstuffs and the like. Also,
  clearly, there has been a change of rate at which people burn calories
  due to an increase in sedentary lifestyles, the design of our suburbs,
  and a whole host of such explanations.
- We are not
  claiming that such explanations are not relevant. No doubt they are
  all part of the obesity epidemic. We are just saying that networks
  have this fascinating property whereby they magnify whatever they are
  seeded with.
- We also
  mention in our paper in the New England Journal the possible
  relevance of so-called “mirror neurons,” which is another
  mechanism which I didn't touch on earlier. One possibility besides
  biological contagion is that by watching you exhibit certain kinds
  of behaviors like eating or running, I start to copy those behaviors
  mentally in a mirror-neuron kind of way. And this facilitates my exhibiting
  the same behavior.
- That is,
  your desires and ideas can influence the structure of your network.
  For example, if you have ideas that foster a certain kind of ties,
  those ties in turn foster and support certain kinds of ideas.
- When
  it comes to the internet, we are no longer merely talking about networks
  of computers or of networks of people who are in communication with
  each other, but we are talking about truly social networks, such as
  Facebook and MySpace and Friendster and LinkedIn.
- We have
  trawled through this large social network and grabbed information about
  people in the network, and their social ties, as is available on Facebook — for
  example, information having to do with their tastes, with the people
  with whom they appear in photographs, and so on. For example,
  a person might have an average of 100 or 200 friends on Facebook, but
  they might only appear in photographs with 10 of them. We would argue
  that appearing in a photograph constitutes a different kind of social
  tie than a mere nomination of friendship.
  
  By exploiting
  these kinds of data and a variety of computer science technologies,
  we have been able to build a network that changes across time and to
  trace the flow of tastes through the network (for instance, how as
  I start listening to a particular kind of music, you start listening
  to a particular kind of music). We have been able to study homophilic
  properties — the idea that birds of a feather flock together. How
  and why do people form unions? Do they depend upon particular
  attributes, tastes, and the like? We have been able to study
  how these types of things — both the topology of the network
  and the things that flow through the network — change over time.
- But then we realized that, in addition
  to its conceptual importance, we could treat privacy as a taste. And
  we saw that the taste for privacy flowed through the network so that
  if I adopt privacy settings on Facebook, the people to whom I am connected
  will be more likely to adopt privacy settings.
- So here
  we observe yet another phenomenon. We have talked about the flow of
  obesity through a network, we have talked about the flow of happiness
  through a network, we have talked about the flow of smoking cessation
  through a network, we have talked about the flow of fashions through
  a network. Now we are talking about the flow of tastes in privacy through
  the network.

Nutzung sozialer Netzwerke in Europa: Deutschland auf Platz 7, deutlich unter EU-Durchschnitt

www.comscore.com/...release.asp - Preview

statistics news socialnetworks

Country

Total Unique Visitors (000) to Social Networking Category

% Reach of Country’s Total Internet Audience

Europe

210,950

74.6

United Kingdom

29,263

79.8

Spain

13,185

73.7

Portugal

2,705

72.9

Denmark

2,390

69.7

Italy

14,408

69.3

Belgium

3,668

68.2

Germany

24,901

67.3

15 Jan 09

Berkman Center-Studie "Enhancing Child Safety and Online Technologies": Fachleute halten Risiken für überschätzt

"Enhancing Child Safety and Online Technologies"

www.spiegel.de/...0,1518,601256,00.html - Preview

internetstudies socialnetworks Jugendmedienschutz kindermedienschutz news

Veröffentlichung einer aktuellen, von hochkarätigen Experten unter Führung des
Berkman Centers der Harvard Universität verfassten Studie
Die Antworten der Studie schmecken weder manchen der Auftraggeber, noch dem nach Sensationen lüsternden Teil der Presse: In Wahrheit, konstatiert das 278-Seiten-Papier, sei das Problem gar nicht so groß wie immer wieder behauptet wird. Es werde auch in den Medien aufgeblasen.
4 more annotations...
- Einige der Auftraggeber sind nun unzufrieden und erklärten bereits, sie seien mit den Ergebnissen der Studie nicht einverstanden.
- Beteiligt an der Erarbeitung durch die nur zu diesem Zweck gegründete "Internet Safety Technical Task Force" waren neben Thinktanks, Akademischen Instituten und Industrievertretern auch Jugendschutzorganisationen wie das National Center for Missing & Exploited Children.
- Erheblich häufiger als sexuelle Belästigung durch Erwachsene sei die durch Altersgenossen. Die täten sich auch im Bereich des "Bullying" hervor, das die Autoren der Studie als wichtigstes Problem für Jugendliche im Web benennen: Beschimpfungen und Diffamierungen, Psychokrieg und psychische wie körperliche Misshandlungen seien "die häufigste Bedrohung" für Heranwachsende, "sowohl offline wie online".
- Social Networks seien gerade nicht der virtuelle Ort, an dem es zu sexuellen Belästigungen oder Pornografie-Kontakten komme, sondern vielmehr zu teils fiesen Hackereien innerhalb der Peer-Group - eine virtuelle Erweiterung des Schulhofes.

01 Jan 09

New Study Shows Time Spent Online Important for Teen Development - MacArthur Foundation

www.macfound.org/...b.4773437 - Preview

socialnetworks medienbildung news

Results from the most extensive U.S. study on teens and their use of digital media show that America’s youth are developing important social and technical skills online – often in ways adults do not understand or value.

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