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Complex Spreading Phenomena in Social Systems - Influence and Contagion in Real-World Social Networks | Sune Lehmann | Springer
This text is about spreading of information and influence in complex networks. Although previously considered similar and modeled in parallel approaches, there is now experimental evidence that epidemic and social spreading work in subtly different ways. While previously explored through modeling, there is currently an explosion of work on revealing the mechanisms underlying complex contagion based on big data and data-driven approaches.

This volume consists of four parts. Part 1 is an Introduction, providing an accessible summary of the state of the art. Part 2 provides an overview of the central theoretical developments in the field. Part 3 describes the empirical work on observing spreading processes in real-world networks. Finally, Part 4 goes into detail with recent and exciting new developments: dedicated studies designed to measure specific aspects of the spreading processes, often using randomized control trials to isolate the network effect from confounders, such as homophily.

Each contribution is authored by leading experts in the field. This volume, though based on technical selections of the most important results on complex spreading, remains quite accessible to the newly interested. The main benefit to the reader is that the topics are carefully structured to take the novice to the level of expert on the topic of social spreading processes. This book will be of great importance to a wide field: from researchers in physics, computer science, and sociology to professionals in public policy and public health.
networks  epidemics  contagion  social_networks  teaching 
15 days ago by rvenkat
Leveraging Advances in Social Network Thinking for National Security: Proceedings of a Workshop | The National Academies Press
"Beginning in October 2017, the National Academies of Sciences, Engineering, and Medicine organized a set of workshops designed to gather information for the Decadal Survey of Social and Behavioral Sciences for Applications to National Security. The third workshop focused on advances in social network thinking, and this publication summarizes the presentations and discussions from this workshop."
to:NB  books:noted  social_networks  us_military  to_be_shot_after_a_fair_trial 
17 days ago by cshalizi
[1805.09966] Prestige drives epistemic inequality in the diffusion of scientific ideas
"The spread of ideas in the scientific community is often viewed as a competition, in which good ideas spread further because of greater intrinsic fitness. As a result, it is commonly believed that publication venue and citation counts correlate with importance and impact. However, relatively little is known about how structural factors influence the spread of ideas, and specifically how where an idea originates can influence how it spreads. Here, we investigate the role of faculty hiring networks, which embody the set of researcher transitions from doctoral to faculty institutions, in shaping the spread of ideas in computer science, and the importance of where in the network an idea originates. We consider comprehensive data on the hiring events of 5,032 faculty at all 205 Ph.D.-granting departments of computer science in the U.S. and Canada, and on the timing and titles of 200,476 associated publications. Analyzing three popular research topics, we show empirically that faculty hiring plays a significant role in driving the spread of ideas across the community. We then use epidemic models to simulate the generic spread of research ideas and quantify the consequences of where an idea originates on its longterm diffusion across the network. We find that research from prestigious institutions spreads more quickly and completely than work of similar quality originating from less prestigious institutions. Our analyses establish the theoretical trade-offs between university prestige and the quality of ideas necessary for efficient circulation. These results suggest a lower bound for epistemic inequality, identify a mechanism for the persistent epistemic advantage observed for elite institutions, and highlight limitations for meritocratic ideals."
to:NB  have_read  sociology_of_science  science_as_a_social_process  epidemiology_of_ideas  kith_and_kin  clauset.aaron  re:do-institutions-evolve  social_networks  epidemic_models  to_teach:baby-nets  academia 
24 days ago by cshalizi
the grugq on Twitter: "WhiteHouse OPSEC: two iPhones, one for calls only, one for Twitter only. Historical norm is for officials to turn over their phones on a monthly basis for analysis and replacement. Trump hasn’t bothered for 5 months because “too
WhiteHouse OPSEC: two iPhones, one for calls only, one for Twitter only. Historical norm is for officials to turn over their phones on a monthly basis for analysis and replacement. Trump hasn’t bothered for 5 months because “too inconvenient” #OPSECfail
tweet  @thegrugq  opsec  #fail  #OPSECfail  phones  mobile  security  practical  Trump  Whitehouse  twitter  social_media  social_networks 
4 weeks ago by cataspanglish
Ocean Protocol — A Decentralized Data Exchange Protocol to Unlock Data for AI
"Society is becoming increasingly reliant on data, especially with the advent of AI. However, a small handful of organizations with both massive data assets and AI capabilities have become powerful with control that is a danger to a free and open society.

Ocean Protocol aims to unlock data, for more equitable outcomes for users of data, using a thoughtful application of both technology and governance.
It is a decentralized protocol and network of artificial intelligence (AI) data/services. It incentivizes for a vast supply of relevant AI data/services. This network helps to power AI data/service marketplaces, as well as public commons data. The heart of Ocean’s network is a new construction: a Curated Proofs Market. CPMs bridge predicted relevance with actual relevance of each AI service, by having curation markets for cryptographic proofs (e.g. proof of data availability)."

Ocean Protocol is supported by Ocean Foundation, which is a Singapore-based
non-profit foundation. Ocean Foundation’s mandate is to:
development of the Ocean Protocol and activate a community of
provide guidance for the development of the Ocean Protocol; and
support the growth, and governance of a vibrant data exchange network
and ecosystem based on the Ocean Protocol.

blockchain  daas  Startupinthecloud  ai  Ecosystem  Data  Technology  curation  Platform  Security  Privacy  Public_Cloud  Analysis  Storage  Social_Networks  Social  Sustainability  NGO_NPO  Singapore  sustainable  development  open-data  opensource  decentralization 
4 weeks ago by eocas

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