Archive for January 2nd, 2013

January 2, 2013

Heterophily

Heterophily [het-er-uh-fil-ee], or ‘love of the different,’ is the tendency of individuals to collect in diverse groups; it is the opposite of homophily (‘love of the same,’ the tendency of individuals to associate and bond with similar others). This phenomenon is notable in successful organizations, where the resulting diversity of ideas is thought to promote an innovative environment. Recently it has become an area of social network analysis. Most of the early work in heterophily was done in the 1960s by sociologist Everett Rogers in his book ‘Diffusion Of Innovations.’

Rogers showed that heterophilious networks were better able to spread innovations. Later, scholars such as Paul Burton, draw connections between modern Social Network Analysis as practiced by Stanford sociologist Mark Granovetter in his theory of weak ties (if A is linked to both B and C, then there is a greater-than-chance probability that B and C are linked to each other) and the work of German sociologist Georg Simmel. Burton found that Simmel’s notion of ‘the stranger’ is equivalent to Granovetter’s weak tie in that both can bridge homophilious networks, turning them into one larger heterophilious network.

January 2, 2013

Friendship Paradox

friendship paradox

The friendship paradox is the phenomenon first observed by the sociologist Scott L. Feld in 1991 that most people have fewer friends than their friends have, on average. It can be explained as a form of sampling bias (e.g. non-random sample) in which people with greater numbers of friends have an increased likelihood of being observed among one’s own friends. In contradiction to this, most people believe that they have more friends than their friends have.

The same observation can be applied more generally to social networks defined by other relations than friendship: for instance, most people’s sexual partners have (on the average) a greater number of sexual partners than they have. In spite of its apparently paradoxical nature, the phenomenon is real, and can be explained as a consequence of the general mathematical properties of social networks.

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January 2, 2013

Conjugated Linoleic Acid

Conjugated [kon-juh-gey-tidlinoleic [li-noh-lee-ikacids (CLA) are a family acids found mostly in the meat and dairy products derived from ruminants. CLAs can be either cis- or trans-fats.

In 1979, researchers from the University of Wisconsin applied a beef extract to mice skin. The mice were then exposed to a strong carcinogen. When the researchers counted the number of tumors developed by the mice 16 weeks later, they found to their surprise that the mice exposed to the beef extract had 20% fewer tumors. The identity of this anticarcinogen was not discovered until almost a decade later, in 1987.

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January 2, 2013

Digital Maoism

digital maoism

In his online essay ‘Digital Maoism: The Hazards of the New Online Collectivism,’ in ‘Edge’ magazine in 2006, futurist Jaron Lanier criticized the sometimes-claimed omniscience of collective wisdom (including examples such as the Wikipedia article about himself), describing it as ‘digital Maoism.’

He writes ‘If we start to believe that the Internet itself is an entity that has something to say, we’re devaluing those people [creating the content] and making ourselves into idiots.’ His criticism aims at several targets which are at different levels of abstraction: any attempt to create one final authoritative bottleneck which channels the knowledge onto society is wrong, regardless whether it is a Wikipedia or any algorithmically created system producing meta information.

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January 2, 2013

Colors of Noise

Noises are classified based on their spectral properties; they are named for the color they most resemble in the visible light spectrum. If the sound wave pattern of ‘red noise’ were translated into light waves, the resulting light would be red, and so on. White noise is an audio signal that contains all the frequencies audible to the human ear. It is analogous to white light, which contains all the colors of light visible to the human eye.

Pink noise is a signal that is louder at low frequencies and decreases at a constant rate. It is sometimes referred to as flicker noise particularly when it describes background noise emitted by an electronic device. Pink noise is used to make music, sound effects, or merely as a pleasant background sound and is reported to sound more like the ocean than white noise (which is often compared to the sound of rainfall or TV static) because of its bias towards lower frequencies.

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