Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives
By Susan K. Walker. 2011
829 citations recorded by the source corpus.
Subfields: Clinical Psychology, Demography, Social Psychology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Clinical Psychology
- Kristin L. Drogos
- Shang E. Ha
- Susanne Stoll-Kleemann
- D. Doherty
- Ying Ding
- Amit Sharma
- Conor M. Dowling
- Ali H. Sayed
In Demography
- A. Gerber
- Shang E. Ha
- Matjaz Perc
- Attila Szolnoki
- Kristin L. Drogos
- Trevor Leutscher
- Susanne Stoll-Kleemann
- Ying Ding
In Social Psychology
- Jay J. Van Bavel
- David G. Rand
- Youngjin Yoo
- A. Gerber
- D. Doherty
- Conor M. Dowling
- G. Huber
- E. Paluck
Citations in the corpus
- How algorithmic popularity bias hinders or promotes quality (2017, background): “Furthermore, knowledge of what is popular can be construed as a form of social influence; an individual’s behavior may be guided by choices of peers or neighbors [20, 16, 17, 15, 26, 2, 6].”
- Customer-to-Customer Interactions: Broadening the Scope of Word of Mouth Research (2010, background): “Looking at other disciplines, we have more evidence that quitting certain behaviors , such as smoking, is a social phenomenon in which people are affected by their social network (Christakis and Fowler 2009).”
- Do social explanations work?: studying and modeling the effects of social explanations in recommender systems (2013, background): “We build on existing work that shows the value of explaining recommendations in general and the growing trend to use social information in recommender systems for both preference modeling and explanation.”
- Emotion shapes the diffusion of moralized content in social networks (2017, background): “Thus, we often develop similar ideas and intuitions as others because we are socially connected to them (6).”
- The second wave of digital-era governance: a quasi-paradigm for government on the Web (2013, background): “So developments such as analysing ‘big data’ from transactional processes [32], peer production [33], the ‘democratization of innovation’ [34], ‘crowdsourcing’ [35], ‘wikinomics’ [36], ‘cognitive surplus’ [37] and ‘network effects’ [38] put pressure on government organizations to innovate in catch-u”
- Feasible Options for Behavior Change Toward More Effective Ocean Literacy: A Systematic Review (2019, background): “Although research on social networks demonstrates that whenever we get one person to make a change, it “will likely lead others to make a change, and we are more successful than we think,” some people—namely, opinion leaders and “connectors”—are linked to and can reach out to many more people than o”
- Adaptation, Learning, and Optimization over Networks (2014, background): “They are also well-suited to model several forms of complex behavior exhibited by biological [16, 50, 131, 147] and social networks [15, 77, 92, 121, 230] such as fish schooling [188], prey-predator maneuvers [105, 171], bird formations [110, 119], bee swarming [12, 22, 125, 220], bacteria motility ”
- Association Between Social Networks and Subjective Well-Being in Adolescents: A Systematic Review (2020, background): “In an “in-person” network for example, it will consider the relationships between the persons within the network whether they be family, neighbors, coworkers, or classmates (Christakis & Fowler, 2009).”
- Implicit stereotypes and the predictive brain: cognition and culture in “biased” person perception (2017, background): “The complex dynamics of the individual within a social network (for example, Christakis and Fowler, 2009) needs to be considered in investigating the formation, transmission and maintenance of implicit stereotypes.”
- Distinguishing between Personal Preferences and Social Influence in Online Activity Feeds (2016, background): “Influence has also captured the popular imagination, as a powerful force that makes content spread virally through a social network [26, 16].”
- The Spread of Evidence-Poor Medicine via Flawed Social-Network Analysis (2010, background): “Their conclusions have also been disseminated via a popular book [7], which has been translated into twenty languages.”
- Detecting Emotional Contagion in Massive Social Networks (2014, background): “As a result, we may see greater spikes in global emotion that could generate increased volatility in everything from political systems to financial markets [36].”
- Dispositional Optimism and the Emergence of Social Network Diversity (2012, background): “In addition to providing formative connections to significant others, networks transmit attitudes, emotions, and even health outcomes (Fowler and Christakis 2008; Christakis and Fowler 2009), all of which can potentially impact optimism over time.”
- Personality and Political Attitudes: Relationships across Issue Domains and Political Contexts (2010, background): “…of environment-specific effects suggests that the link between personality and attitudes is likely to be a function of features of political environments such as social networks that are of growing interest across the social sciences (see, e.g., Christakis and Fowler 2009; Heaney and McClurg 2009).”
- Sharing with Friends versus Strangers: How Interpersonal Closeness Influences Word-of-Mouth Valence (2016, background): “…social media Online Supplement : http:dx.doi.org/10.1509/jmr.13.0312 Sharing with Friends Versus Strangers: How Interpersonal Closeness Influences Word-of-Mouth Valence Social transmission of information is a primary vehicle of economic, political, and cultural change (Christakis and Fowler 2009).”
- Statistical physics of human cooperation (2017, background): “Despite their dissimilarity with social networks that describe how we are actually connected with one another [163,164], lattices enjoy remarkable popularity in human cooperation research [100,153], with the square lattice also being used for the seminal discovery of network reciprocity [31].”