network effects - определение. Что такое network effects
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Что (кто) такое network effects - определение

A PHENOMENON BY WHICH THE VALUE OR UTILITY A USER DERIVES FROM A GOOD OR SERVICE
Network externality; Network externalities; Network effects business model; Network effects; Law of Increasing Returns; Network economics; Network goods; Group effect; Group externality; Network effects theory; Network monopoly; Demand-side economies of scale; Network Effect
  •  Clues about the long term results of network effects on the global economy are reveled in new research into Online Diversity.
  • The dominant rail gauge in each country shown

Effects of cannabis         
  • ''[[Aspergillus fumigatus]]''
  • Bloodshot eye
  • [[Cannabinol]]
  • [[Cannabidiol]]
  • [[Cannabidivarin]]
  • Difference between natural cannabinoids and THC A) THC B) CB-1 receptor C) Neurotransmitters D) Postsynaptic Receptors E) Cannabinoid
  • [[Cannabivarin]]
  • A man smoking cannabis in [[Kolkata, India]]
  • The [[structural formula]] of [[tetrahydrocannabinol]]
  • [[Tetrahydrocannabivarin]]
EFFECTS RESULTING FROM THE USE OF THE CANNABIS DRUG
Cannabis/Health Issues; Cannabis: Health issues; Cannabis (pharmacology); Health effects of cannabis; Effects of marijuana; Cannabis intoxication; Marijuana Effects; Health issues and the effects of cannabis; Health issues and effects of marijuana; The feelings of Marijuana; Contaminated cannabis; Health issues and effects of cannabis; Physiological effects of cannabis; Munchies (food craving); Effects of weed; Short-term effects of cannabis; Cannabis withdrawal; Effect of marijuana; Health effects of marijuana; Cardiovascular effects of cannabis; Cannabis and cardiovascular disease
The effects of cannabis are caused by chemical compounds in the cannabis plant, including 113 different cannabinoids such as tetrahydrocannabinol (THC) and 120 terpenes, which allow its drug to have various psychological and physiological effects on the human body. Different plants of the genus Cannabis contain different and often unpredictable concentrations of THC and other cannabinoids and hundreds of other molecules that have a pharmacological effect, so that the final net effect cannot reliably be foreseen.
EDonkey network         
PEER-TO-PEER FILE SHARING NETWORK
Razorback 2; Edonkey Network; EDonkey 2000 network; Edonkey 2000 network; Edonkey2000 network; EDonkey Network; Lugdunum server; Edonkey clients; Razorback2; EDonkey Search engine; Edonkey network; EDonkey2000 network; ED2k network; ED2k protocol; EDonkey protocol
The eDonkey Network (also known as the eDonkey2000 network or eD2k) is a decentralized, mostly server-based, peer-to-peer file sharing network created in 2000 by US developers Jed McCaleb and Sam Yagan that is best suited to share big files among users, and to provide long term availability of files. Like most sharing networks, it is decentralized, as there is no central hub for the network; also, files are not stored on a central server but are exchanged directly between users based on the peer-to-peer principle.
Random effects model         
TYPE OF STATISTICAL MODEL
Random effects estimation; Random effects estimator; Random-effects models; Random-effect model; Random effect model; Variance components model; Variance components; Random effects; Random effect; Variance component; Random-effects meta-analysis
In statistics, a random effects model, also called a variance components model, is a statistical model where the model parameters are random variables. It is a kind of hierarchical linear model, which assumes that the data being analysed are drawn from a hierarchy of different populations whose differences relate to that hierarchy.

Википедия

Network effect

In economics, a network effect (also called network externality or demand-side economies of scale) is the phenomenon by which the value or utility a user derives from a good or service depends on the number of users of compatible products. Network effects are typically positive, resulting in a given user deriving more value from a product as more users join the same network. The adoption of a product by an additional user can be broken into two effects: an increase in the value to all other users ( "total effect") and also the enhancement of other non-users' motivation for using the product ("marginal effect").

Network effects can be direct or indirect. Direct network effects arise when a given user's utility increases with the number of other users of the same product or technology, meaning that adoption of a product by different users is complementary. This effect is separate from effects related to price, such as a benefit to existing users resulting from price decreases as more users join. Direct network effects can be seen with social networking services, including Twitter, Facebook, Airbnb, Uber, and LinkedIn; telecommunications devices like the telephone; and instant messaging services such as MSN, AIM or QQ. Indirect (or cross-group) network effects arise when there are "at least two different customer groups that are interdependent, and the utility of at least one group grows as the other group(s) grow". For example, hardware may become more valuable to consumers with the growth of compatible software.

Network effects are commonly mistaken for economies of scale, which describe decreasing average production costs in relation to the total volume of units produced. Economies of scale are a common phenomenon in traditional industries such as manufacturing, whereas network effects are most prevalent in new economy industries, particularly information and communication technologies. Network effects are the demand side counterpart of economies of scale, as they function by increasing a customer's willingness to pay due rather than decreasing the supplier's average cost.

Upon reaching critical mass, a bandwagon effect can result. As the network continues to become more valuable with each new adopter, more people are incentivised to adopt, resulting in a positive feedback loop. Multiple equilibria and a market monopoly are two key potential outcomes in markets that exhibit network effects. Consumer expectations are key in determining which outcomes will result.