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By Professor Reda Alhajj, Professor Jon Rokne (eds.)

The Encyclopedia of Social community research and Mining (ESNAM) is the 1st significant reference paintings to combine basic techniques and study instructions within the components of social networks and functions to information mining. whereas ESNAM displays the cutting-edge in social community learn, the sector had its begin within the Nineteen Thirties whilst primary matters in social community study have been widely outlined. those groups have been constrained to rather small numbers of nodes (actors) and hyperlinks. extra lately the arrival of digital communique, and specifically online groups, have created social networks of hitherto unbelievable sizes. humans around the globe are at once or in a roundabout way attached through well known social networks validated utilizing web-based structures instead of by means of actual proximity.

Reflecting the interdisciplinary nature of this certain box, the fundamental contributions of numerous disciplines, from laptop technology, arithmetic, and facts to sociology and behavioral technology, are defined one of the three hundred authoritative but hugely readable entries. scholars will discover a international of knowledge and perception at the back of the known façade of the social networks during which they take part. Researchers and practitioners will take advantage of a accomplished point of view at the methodologies for research of developed networks, and the information mining and laptop studying strategies that experience proved beautiful for classy wisdom discovery in complicated purposes. additionally addressed is the applying of social community methodologies to different domain names, corresponding to net networks and organic networks.

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After computing the fused information value, the node will determine its state and behavior based on whether the information value exceeds certain thresholds. Each node can be in one of five possible states: uninformed, disbelieved, undecided, believed, and removed/evacuated. Initially, all the nodes are uninformed. When nodes become exposed to the information, they can enter into one of three states: disbelieved, undecided, or believed. Each node has two defined threshold levels, a lower bound, which lies between the disbelieved and uninformed states, and an upper bound, which lies between the undecided and believed states: 0 Ä LowerBound Ä UpperBound Ä 1 (2) The thresholds determine the boundaries for when the node will acknowledge the message and/or take an action.

Cupertino, CA, USA Yada Zhu Computer Science, School of Engineering & Science, IBM T. J. Watson Research Center, Hoboken, NY, USA Katharina Anna Zweig Department of Computer Science, Complex Network Analysis and Graph Theory, University of Kaiserslautern, Kaiserslautern, Germany Anna Zygmunt Department of Computer Science, AGH University of Science and Technology, Krak´ow, Poland A Accessibility Analysis and Planning of Urban Networks Glossary Diffusion Spread of an idea, product, or behavior in a social system Social Ties Connections between individuals on which information is passed Accuracy Quality of Social Network Data Actionable Information in Social Networks, Diffusion of Cindy Hui1 , William A.

Soc Netw 18(1):69–89 Watts DJ (2002) A simple model of global cascades on random networks. Proc Natl Acad Sci 99(9): 5766–5771 Recommended Reading Albert R, Jeong H, Barabasi A (2000) Error and attack tolerance of complex networks. Nature 406(6794):378– 382 Bass F (2004) A new product growth for model consumer durables. Manag Sci 50(Supplement 12):1825–1832 Brown J, Reignen P (1987) Social ties and word-of-mouth referral behaviour. J Consum Res 14(3):350–362 Chen L, Carley K (2004) The impact of countermeasure propagation on the prevalence of computer viruses.

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