The economics of social networks Export

@article{citeulike:710776, abstract = {The science of social networks is a central field of sociological study, a major application of random graph theory, and an emerging area of study by economists, statistical physicists and computer scientists. While these literatures are (slowly) becoming aware of each other, and on occasion drawing from one another, they are still largely distinct in their methods, interests, and goals. Here, my aim is to provide some perspective on the research from these literatures, with a focus on the formal modeling of social networks and the two major types of models: those based on random graphs and those based on game theoretic reasoning. I highlight some of the strengths, weaknesses, and potential synergies between these two network modeling approaches.}, author = {Jackson, Matthew O.}, citeulike-article-id = {710776}, citeulike-linkout-0 = {http://ideas.repec.org/p/clt/sswopa/1237.html}, comment = {社会ネットワーク上の経済に関して 2種類のネットワークモデル (random model and strategic model) を使って検証。}, editor = {Blundell, Richard and Newey, Whitney and Persson, Torsten}, journal = {Social Science Working Paper}, keywords = {economics, networks, social}, month = {August}, posted-at = {2006-06-26 08:47:59}, priority = {2}, title = {The economics of social networks}, url = {http://ideas.repec.org/p/clt/sswopa/1237.html}, volume = {1237}, year = {2005} }

TY - JOUR ID - citeulike:710776 L3 - citeulike-article-id:710776 N2 - The science of social networks is a central field of sociological study, a major application of random graph theory, and an emerging area of study by economists, statistical physicists and computer scientists. While these literatures are (slowly) becoming aware of each other, and on occasion drawing from one another, they are still largely distinct in their methods, interests, and goals. Here, my aim is to provide some perspective on the research from these literatures, with a focus on the formal modeling of social networks and the two major types of models: those based on random graphs and those based on game theoretic reasoning. I highlight some of the strengths, weaknesses, and potential synergies between these two network modeling approaches. JF - Social Science Working Paper TI - The economics of social networks VL - 1237 KW - economics KW - networks KW - social N1 - 社会ネットワーク上の経済に関して 2種類のネットワークモデル (random model and strategic model) を使って検証。 AU - Jackson, Matthew A2 - Blundell, Richard A2 - Newey, Whitney A2 - Persson, Torsten PY - 2005/08// UR - http://ideas.repec.org/p/clt/sswopa/1237.html ER -