ATTITUDE CHANGE, AFFECT CONTROL, AND EXPECTATION STATES IN by Noah E. Friedkin and Eugene C. Johnsen

By Noah E. Friedkin and Eugene C. Johnsen

Show description

Read Online or Download ATTITUDE CHANGE, AFFECT CONTROL, AND EXPECTATION STATES IN THE FORMATION OF INFLUENCE NETWORKS PDF

Similar networks books

802.11ac: A Survival Guide

The following frontier for instant LANs is 802. 11ac, a typical that raises throughput past one gigabit consistent with moment. This concise consultant offers in-depth details that can assist you plan for 802. 11ac, with technical information on layout, community operations, deployment, and monitoring.

Author Matthew Gast—an specialist who led the improvement of 802. 11-2012 and protection activity teams on the wireless Alliance—explains how 802. 11ac won't merely bring up the rate of your community, yet its potential in addition. no matter if you want to serve extra consumers along with your present point of throughput, or serve your present consumer load with better throughput, 802. 11ac is the answer. This publication will get you started.

know the way the 802. 11ac protocol works to enhance the rate and potential of a instant LAN
discover how beamforming raises velocity ability through enhancing hyperlink margin, and lays the basis for multi-user MIMO
learn the way multi-user MIMO raises means by means of permitting an AP to ship information to a number of consumers concurrently
Plan while and the way to improve your community to 802. 11ac through comparing buyer units, purposes, and community connections

Intelligent Networks: Proceedings of the IFIP workshop on intelligent networks 1994

Huge new breakthroughs are taking place in telecommunications know-how. This quantity provides a cutting-edge overview of the present examine actions in clever community expertise. It includes the court cases of a workshop on clever networks geared up via the foreign Federation of data Processsing and held as a part of the 3rd summer time college on Telecommunications in Lappeenranta, Finland, August 1994.

Intelligent Visual Inspection: Using artificial neural networks

Loads of examine is being performed within the components of man-made imaginative and prescient and neural networks. even supposing a lot of this study has been theoretical in nature, the various concepts constructed via those efforts are actually mature adequate to be used in functional functions. automatic visible Inspection utilizing man made Neural Networks explains the applying of lately rising know-how within the components of synthetic imaginative and prescient and neural networks to computerized visible inspection.

Stochastic Petri Nets for Wireless Networks

This SpringerBrief provides examine within the program of Stochastic Petri Nets (SPN) to the functionality review of instant networks lower than bursty site visitors. It covers general Quality-of-Service functionality metrics corresponding to suggest throughput, typical hold up and packet shedding chance. besides an creation of SPN fundamentals, the authors introduce the most important motivation and demanding situations of utilizing SPN to research the source sharing functionality in instant networks.

Additional info for ATTITUDE CHANGE, AFFECT CONTROL, AND EXPECTATION STATES IN THE FORMATION OF INFLUENCE NETWORKS

Sample text

Avdeef A, Sofen SR, Bregante TL, Raymond KN (1978) J Am Chem Soc 100:5362–5370 181. Menyo MS, Hawker CJ, Waite JH (2013) Soft Matter 9:10314–10323 182. Peng F, Li G, Liu X, Wu S, Tong Z (2008) J Am Chem Soc 130:16166–16167 183. Spychaj T, Schmidt B (2000) Macromol Symp 152:173–189 184. Augst AD, Kong HJ, Mooney DJ (2006) Macromol Biosci 6:623–633 185. Lee KY, Rowley JA, Eiselt P, Moy EM, Bouhadir KH, Mooney DJ (2000) Macromolecules 33:4291–4294 186. Shapiro L, Cohen S (1997) Biomaterials 18:583–590 187.

Spychaj T, Schmidt B (2000) Macromol Symp 152:173–189 184. Augst AD, Kong HJ, Mooney DJ (2006) Macromol Biosci 6:623–633 185. Lee KY, Rowley JA, Eiselt P, Moy EM, Bouhadir KH, Mooney DJ (2000) Macromolecules 33:4291–4294 186. Shapiro L, Cohen S (1997) Biomaterials 18:583–590 187. Liew CV, Chan LW, Ching AL, Heng PWS (2006) Int J Pharm 309:25–37 188. Hashimoto T, Suzuki Y, Tanihara M, Kakimaru Y, Suzuki K (2004) Biomaterials 25:1407–1414 189. Rowley JA, Madlambayan G, Mooney DJ (1999) Biomaterials 20:45–53 190.

In: Gale PA, Steed JW (eds) Supramolecular chemistry: from molecules to nanomaterials, vol 1. Wiley, New York, pp 9–24 31. Grassi G, Farra R, Caliceti P, Guarnieri G, Salmaso S, Carenza M, Grassi M (2005) Am J Drug Deliv 3:239–251 32. Lemmers M, Sprakel J, Voets IK, van der Gucht J, Cohen Stuart MA (2010) Angew Chem Int Ed 49:708–711 33. Rossow T, Hackelbusch S, van Assenbergh P, Seiffert S (2013) Polym Chem 4:2515–2527 34. Asoh T-A, Yoshitake H, Takano Y, Kikuchi A (2013) Macromol Chem Phys 214:2534–2539 35.

Download PDF sample

Rated 4.62 of 5 – based on 30 votes