Relevant bibliographies by topics / Social interactions

Academic literature on the topic 'Social interactions'

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Published: 4 June 2021
Last updated: 7 September 2024

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Journal articles on the topic "Social interactions"

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Hall, Jeffrey A. "When is social media use social interaction? Defining mediated social interaction." New Media & Society 20, no. 1 (July 28, 2016): 162–79. http://dx.doi.org/10.1177/1461444816660782.

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This investigation explores the question, when is social media use social interaction? The results of three studies indicated that social media use was rarely considered social interaction. After using social media for 5 or 10 minutes, Study 1 ( N = 116) demonstrated that infrequent, directed social media behavior (e.g. chatting, commenting) predicted having a social interaction and feeling related. Study 2 ( N = 197) used event sampling to examine participants’ social interactions with friends ( n = 2388) and found 96.5% of social interactions did not take place on social media. Study 3 ( N = 54) used experience sampling to record participants’ experiences over 5 days ( n = 1332). Social media use and social interaction occasionally co-occurred, but only 2% of social interactions took place through social media. Social interactions through social media were usually talk-focused, one-on-one exchanges with closer relational partners, and rarely undifferentiated, broadcasted, or passively consumed information shared with acquaintances.
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SASSO, GARY M. "Social Interactions." Focus on Autistic Behavior 2, no. 4 (October 1987): 1–8. http://dx.doi.org/10.1177/108835768700200401.

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Durlauf, Steven N., and Yannis M. Ioannides. "Social Interactions." Annual Review of Economics 2, no. 1 (September 4, 2010): 451–78. http://dx.doi.org/10.1146/annurev.economics.050708.143312.

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Rajeswarao, D., A. Hari Priya, and P. V.S. Nikhileswar. "Social interaction assistant: social interactions for individuals with visual impairments." International Journal of Engineering & Technology 7, no. 2.20 (April 18, 2018): 78. http://dx.doi.org/10.14419/ijet.v7i2.20.11758.

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Effectively inside an intelligent setting is a fundamental need for proficient satisfaction and in addition individual achievement. People with visual weakness confront broad requesting circumstances in social dispatch, which if unmitigated social interaction is a critical factor of human delight in. The capacity to connect with others and talk, can likewise cause long lasting requirements for sizable social and money related help. Tragically, these days' media innovations to a great extent oblige the requirements of the "proficient" people, bringing about arrangements that for the most part meet the desires of that group. People with inabilities (which incorporates obvious disability) have in expansive part been missing inside the design procedure, and must adjust (consistently unsuccessfully) to accessible arrangements. On this paper, we advocate a social interchange partner for the individuals who are visually impaired or outwardly disabled, utilizing the viola jones confront recognition system fusing novel commitments additionally, individuals with visual weaknesses frequently have specific necessities that require a customized, versatile strategy to sight and sound registering. to manage this undertaking, our proposed arrangements region accentuation on understanding the man or lady shopper's needs, anticipations and adjustments toward outlining, developing and sending powerful interactive media arrangements. Our observational outcomes uncover the tremendous limit in the utilization of character focused on sight and sound responses to advance the lives of individuals with inabilities and in this paper we likewise specified the question recognition additionally where it is utilized for the outwardly debilitated for the route reason. The primary goal of this paper is to distinguish the face in the pictures and furthermore identify the articles utilizing the viola-jones calculation.
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Van Driel, Martine, John Vines, Belén Barros Pena, and Nelya Koteyko. "Understanding Autistic Adults' Use of Social Media." Proceedings of the ACM on Human-Computer Interaction 7, CSCW2 (September 28, 2023): 1–23. http://dx.doi.org/10.1145/3610048.

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Autism is a developmental condition that impacts 1 in 100 people \citeNationalAutisticSociety2021. It affects autistic people's interactional and sensory preferences and behaviours. Autistic people can find interactions difficult in part due to sensory overwhelm. Interacting online can provide a positive alternative that allows for interactions on their own terms. However, most social media platforms are designed by neurotypical standards and can therefore inhibit full participation by autistic users. We demonstrate through the analysis of 34 semi-structured interviews with autistic adults that current social media design is not sufficient for creating an inclusive environment and enabling participation from autistic adults. We identified six themes across the interviews: (1) 'Social Media compared to In-Person Interactions', (2) 'Social Media as Enabling/Overwhelming', (3) 'Perceived Social Norms', (4) 'Keeping Connected and Finding New Communities', (5) 'Keeping Control through Systematic Practices', and (6) 'Being Authentic'. The themes demonstrate the attention that autistic adults give to online interaction, suggesting that online interactions may be just as fraught as in-person interactions have been shown to be. In order to become more inclusive of autistic adults, we recommend that social media platforms expand low-effort participation features, provide increased control over algorithmic content, support expression of intent and tone, aid discovery of interactional norms, and reinforce interest-based sociality.
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Arrondel, Luc, Hector Calvo-Pardo, Chryssi Giannitsarou, and Michael Haliassos. "Informative social interactions." Journal of Economic Behavior & Organization 203 (November 2022): 246–63. http://dx.doi.org/10.1016/j.jebo.2022.09.006.

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Iacobucci, Dawn, and Stanley Wasserman. "Dyadic social interactions." Psychological Bulletin 102, no. 2 (1987): 293–306. http://dx.doi.org/10.1037/0033-2909.102.2.293.

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COHEN-COLE, ETHAN, and GIULIO ZANELLA. "UNPACKING SOCIAL INTERACTIONS." Economic Inquiry 46, no. 1 (January 2008): 19–24. http://dx.doi.org/10.1111/j.1465-7295.2007.00075.x.

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Okamoto, Takashi, and Kyle Buza. "Visualization of Social Interactions in Facebook." Proceedings of the International AAAI Conference on Web and Social Media 2, no. 1 (September 25, 2021): 232–33. http://dx.doi.org/10.1609/icwsm.v2i1.18631.

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With the popularity of social networks such as Facebook, we have greatly extended our social interactions from the physical into the digital. With social networks we have an increase in interaction opportunities; however, how we experience the interaction is rather bland. Accompanying social interactions with interesting visual feedback is one way to enrich this new space. In our demo, we present E15:FB -- a visualization application which shows a graphical representation of social interactions with individual Facebook users. The application also provides alternative methods to navigate Facebook content beyond what is provided through the Facebook website, and creates new opportunities to interact with related content outside of Facebook.
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Parry, Sarah L., Jane Simpson, and Ste Weatherhead. "Changing Relationships through Interactions: Preliminary Accounts of Parent–Child Interactions after Undertaking Individual Parent Training." Child and Adolescent Social Work Journal 35, no. 6 (May 7, 2018): 639–48. http://dx.doi.org/10.1007/s10560-018-0547-3.

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AbstractParent and child interaction training has been increasingly investigated over recent years. However, the mechanisms of change within individual training programmes are not well understood. To explore the factors that can facilitate or inhibit meaningful changes in interactions and ultimately relationships, the current study employed semi-structured interviews to obtain first person accounts from parents who had undertaken an individualised parent-training programme. Three participants provided accounts of the training programme and their perceived impact upon interactions with their children were analysed using inductive thematic analysis. The analysis resulted in three themes, which illustrate how participants adjusted their interactional style with their child to varying degrees through enhanced personal awareness, increased understanding of their child’s emotional and interactional needs, and accepting the reciprocity of interactional accountability. Changes in interactional style enabled participants to alter their perceptions of their own behaviours, their child’s behaviours, and how they influenced one another through interactions. Recommendations for future research and therapeutic practice are discussed in the context of the findings and the existing evidence base.
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Dissertations / Theses on the topic "Social interactions"

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Erlandsson, Fredrik. "Human Interactions on Online Social Media : Collecting and Analyzing Social Interaction Networks." Doctoral thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-15503.

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Online social media, such as Facebook, Twitter, and LinkedIn, provides users with services that enable them to interact both globally and instantly. The nature of social media interactions follows a constantly growing pattern that requires selection mechanisms to find and analyze interesting data. These interactions on social media can then be modeled into interaction networks, which enable network-based and graph-based methods to model and understand users’ behaviors on social media. These methods could also benefit the field of complex networks in terms of finding initial seeds in the information cascade model. This thesis aims to investigate how to efficiently collect user-generated content and interactions from online social media sites. A novel method for data collection that is using an exploratory research, which includes prototyping, is presented, as part of the research results in this thesis.   Analysis of social data requires data that covers all the interactions in a given domain, which has shown to be difficult to handle in previous work. An additional contribution from the research conducted is that a novel method of crawling that extracts all social interactions from Facebook is presented. Over the period of the last few years, we have collected 280 million posts from public pages on Facebook using this crawling method. The collected posts include 35 billion likes and 5 billion comments from 700 million users. The data collection is the largest research dataset of social interactions on Facebook, enabling further and more accurate research in the area of social network analysis.   With the extracted data, it is possible to illustrate interactions between different users that do not necessarily have to be connected. Methods using the same data to identify and cluster different opinions in online communities have also been developed and evaluated. Furthermore, a proposed method is used and validated for finding appropriate seeds for information cascade analyses, and identification of influential users. Based upon the conducted research, it appears that the data mining approach, association rule learning, can be used successfully in identifying influential users with high accuracy. In addition, the same method can also be used for identifying seeds in an information cascade setting, with no significant difference than other network-based methods. Finally, privacy-related consequences of posting online is an important area for users to consider. Therefore, mitigating privacy risks contributes to a secure environment and methods to protect user privacy are presented.
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Boeg, Martin. "Endogenous social interactions." Thesis, University College London (University of London), 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430058.

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Olschewski, Guido. "Rationality in social interactions." Berlin Logos-Verl, 2009. http://d-nb.info/999759655/04.

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Campigotto, Nicola. "Essays on Social Interactions." Doctoral thesis, Università di Siena, 2019. http://hdl.handle.net/11365/1072116.

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La tesi indaga i rapporti che intercorrono tra i processi percettivi e inferenziali, la struttura delle interazioni sociali e i comportamenti individuali.
This dissertation investigates the relationship between individual behaviours, the structure of social interactions, and the agents' perceptual and reasoning processes.
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TONELLO, MARCO. "SOCIAL INTERACTIONS AT SCHOOL." Doctoral thesis, Università Cattolica del Sacro Cuore, 2013. http://hdl.handle.net/10280/1669.

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Il lavoro tratta gli effetti delle interazioni sociali tra compagni di scuola o di classe (c.d. peer effects) sugli apprendimenti degli studenti delle scuole medie. Il periodo di frequenza della scuola media rappresenta un momento critico nello sviluppo dell’adolescente che passa molto tempo con i compagni (a scuola e fuori da scuola) determinando forti legami di amicizia che ne influenzano lo sviluppo. Nel primo e nel secondo capitolo si tratta dell’effetto delle interazioni sociali tra studenti nativi e non nativi sull’apprendimento. Il terzo capitolo analizza il comportamento di cheating durante gli esami ufficiali come una forma di collaborazione che scaturisce da interazioni sociali. Il lavoro contribuisce alla letteratura esistente identificando gli effetti delle interazioni sociali con metodi innovativi e fornendo un’interpretazione stilizzata dei risultati mediante semplici modelli teorici. La tesi utilizza una banca dati innovativa che unisce i risultati dei test Invalsi in matematica e italiano (Esame Finale del I Ciclo, e Programma di Valutazione Nazionale, a.s. 2007-08, 2008-09, 2010-11), a dati amministrativi sulle scuole e dati censuari sulla popolazione (Censimento 2001). I risultati mostrano che le interazioni sociali influenzano in maniera significativa i risultati scolastici degli studenti.
I focus on social interactions among junior high school students attending the same class or the same school. Junior high school is generally considered by educational psychologists as the period in which friendships ties are usually formed and interactions with school mates take a relevant part of students’ time at school and outside school. In first and in the second chapter I focus on the effect on attainment of social interactions between native and non-native students. The third chapter deals with students’ cheating as a form of social interaction among classmates taking an official exam. The thesis contributes to the existing literature in proposing different empirical strategy to identify social interactions parameters and linking the results to stylized theoretical frameworks to shed light on the possible social mechanisms driving the estimated effects. The three chapters exploit rich and newly available datasets combining test score results in Math and Language from INVALSI (First Cycle Final Exam and National Evaluation Program, s.y. 2007-08, 2008-09, 2010-11), school administrative records, and the Italian Population Census Survey 2001. The results of the research demonstrate a strong role played by social interactions among school mates in affecting students’ attainment.
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TONELLO, MARCO. "SOCIAL INTERACTIONS AT SCHOOL." Doctoral thesis, Università Cattolica del Sacro Cuore, 2013. http://hdl.handle.net/10280/1669.

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Il lavoro tratta gli effetti delle interazioni sociali tra compagni di scuola o di classe (c.d. peer effects) sugli apprendimenti degli studenti delle scuole medie. Il periodo di frequenza della scuola media rappresenta un momento critico nello sviluppo dell’adolescente che passa molto tempo con i compagni (a scuola e fuori da scuola) determinando forti legami di amicizia che ne influenzano lo sviluppo. Nel primo e nel secondo capitolo si tratta dell’effetto delle interazioni sociali tra studenti nativi e non nativi sull’apprendimento. Il terzo capitolo analizza il comportamento di cheating durante gli esami ufficiali come una forma di collaborazione che scaturisce da interazioni sociali. Il lavoro contribuisce alla letteratura esistente identificando gli effetti delle interazioni sociali con metodi innovativi e fornendo un’interpretazione stilizzata dei risultati mediante semplici modelli teorici. La tesi utilizza una banca dati innovativa che unisce i risultati dei test Invalsi in matematica e italiano (Esame Finale del I Ciclo, e Programma di Valutazione Nazionale, a.s. 2007-08, 2008-09, 2010-11), a dati amministrativi sulle scuole e dati censuari sulla popolazione (Censimento 2001). I risultati mostrano che le interazioni sociali influenzano in maniera significativa i risultati scolastici degli studenti.
I focus on social interactions among junior high school students attending the same class or the same school. Junior high school is generally considered by educational psychologists as the period in which friendships ties are usually formed and interactions with school mates take a relevant part of students’ time at school and outside school. In first and in the second chapter I focus on the effect on attainment of social interactions between native and non-native students. The third chapter deals with students’ cheating as a form of social interaction among classmates taking an official exam. The thesis contributes to the existing literature in proposing different empirical strategy to identify social interactions parameters and linking the results to stylized theoretical frameworks to shed light on the possible social mechanisms driving the estimated effects. The three chapters exploit rich and newly available datasets combining test score results in Math and Language from INVALSI (First Cycle Final Exam and National Evaluation Program, s.y. 2007-08, 2008-09, 2010-11), school administrative records, and the Italian Population Census Survey 2001. The results of the research demonstrate a strong role played by social interactions among school mates in affecting students’ attainment.
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Karpf, Andreas. "Social interactions, expectation formation and markets." Thesis, Paris 1, 2015. http://www.theses.fr/2015PA010015/document.

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Les interactions sociales se trouvent au cœur des activités économiques. Pourtant en sciences économiques, elles ne sont traitées que d'une manière limitée en se concentrant uniquement aux rapports de qu'elles entretiennent avec le marché (Mankiw and Reis, 2002). Le rôle que jouent les interactions sociales vis-à-vis des comportements des agents, ainsi que la formation de leurs attentes sont souvent négligé. Cette négligence reste d'actualité malgré que les premières contributions dans la littérature économique les ont depuis longtemps déjà identifiées comme étant de déterminants importants pour la prise des décisions des agents économiques, comme par exemple Sherif (l936), Hyman (1942), Asch (1951), Jahoda (1959) ou Merlon (1968). En revanche, dans les études de consommation (une spécialité au croisement entre les sciences économiques, de la sociologie et de la psychologie), les interactions sociales (influences sociales) sont con­sidérées comme les " ... déterminants dominants[ ... ] du comportement de l'individu ... " (Burnkrant and Cousineau, 1975). Le but de cette thèse est de construire un pont entre les interactions sociales et leur influence sur la formation des anticipations et le comportement des agents
Social interactions are in the core of economic activities. Their treatment in Economies is however often limited to a focus on the market (Manski, 2000). The role social interactions themselves play for the behavior of agents as well as the formation of their attitudes is often neglected. This is despite the fact that already early contributions in economic literature have identified them as important determinants for the decision making of economic agents as for example Sherif (I936), Hyman (1942), Asch (1951 ), Jahoda (I 959) or Merton (1968). ln consumer research, a field on the intersection between Economies, Sociology and Psychology, on the other hand social interactions (social influences) are considered to be the" ... most pervasive determinants [ ... ] of individual 's behaviour. .. " (Bumkrant and Cousineau, 1975). The thesis at hand bridges the gap between social interactions and their influence on agents expectation formation and behavior
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Shang, Qingyan. "Two essays on social interactions." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1148654775.

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Humphries, Stuart. "Competitive interactions in social foragers." Thesis, University of Glasgow, 1999. http://theses.gla.ac.uk/2492/.

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Empirical and theoretical investigations of aspects of the ideal free distribution (IFD) are presented, with particular emphasis on interactions between individuals within foraging groups. An overview of the theory is presented, and the implications of the work included in this thesis to ideal free distribution theory are discussed. The effect of group size on the relative competitive ability of individual fish within a foraging group is shown to be dependent upon the difference in body size between two focus individuals in a group, but this difference itself has no direct effect on relative competitive ability. A subsequent empirical test of a novel mathematical tool reveals that there is no simple general rule for describing how relative competitive ability will change with group size, and that very specific knowledge of the system under study is needed in order to produce robust predictions. The relative abilities of individual chiclids to obtain food under scramble competition are shown to be highly repeatable between trials. However, when given a choice between two patches differing only in their temporal variability in input about an identical mean, an individual's rank based on intake in one patch was uncorrelated with either its uptake in the other patch or its intake in either of two different trial types. The basis for, and consequence of, this dependence of relative competitive ability on the context of the foraging situation are discussed. The general case (previously unexposed in the literature) where the effect of interference can vary between patches is examined. Simulations from an individual-based model reveal a decrease in the number of stable equilibrium distributions as the competitive advantage of the dominant phenotype declines in one patch, leading eventually to a single stable equilibrium, in which both phenotypes are found on both patches.
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de, Vasconcellos V. M. R. "Social interactions in a creche." Thesis, University of Sussex, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.375166.

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Books on the topic "Social interactions"

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Hartmann, Helena. Social Interactions in Autism​. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-22013-6.

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Tremblay, Pierre. Social interactions among paedophiles. Montral, QC: Universit de Montral, Centre international de criminologie compare, 2003.

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Tremblay, Pierre. Social interactions among paedophiles. Montréal]: CICC, Université de Montréal, 2002.

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Tremblay, Pierre. Social interactions among paedophiles. [Montréal]: Centre international de criminologie comparée, Université de Montréal, 2002.

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Cutler, David M. Social interactions and smoking. Cambridge, Mass: National Bureau of Economic Research, 2007.

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Glaeser, Edward L. Crime and social interactions. Cambridge, MA: National Bureau of Economic Research, 1995.

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Glaeser, Edward L. (Edward Ludwig), 1967- and John F. Kennedy School of Government, eds. Social interactions and smoking. Cambridge, Mass: John F. Kennedy School of Government, Harvard University, 2008.

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Brock, William A. Multinomial choice with social interactions. Cambridge, Mass: National Bureau of Economic Research, 2003.

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Benabou, Roland. Self-confidence and social interactions. [Princeton, NJ]: Woodrow Wilson School of Public and International Affairs, 2000.

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Lalive, Rafael. Social interactions and schooling decisions. Bonn, Germany: IZA, 2006.

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Book chapters on the topic "Social interactions"

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Burger, Jerry M. "Social Interactions." In Desire for Control, 37–62. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4757-9984-2_3.

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Weng, Lilian, Filippo Menczer, and Alessandro Flammini. "Online Interactions." In Social Phenomena, 99–116. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14011-7_6.

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Lichtenberger, Frank. "Human Social Interactions." In Allergic to Life, 119–32. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-46026-5_9.

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Scheinkman, José A. "Social Interactions (Theory)." In The New Palgrave Dictionary of Economics, 12552–58. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_2422.

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Ioannides, Yannis M. "Social Interactions (Empirics)." In The New Palgrave Dictionary of Economics, 12544–51. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_2470.

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Scheinkman, José A. "Social Interactions (Theory)." In The New Palgrave Dictionary of Economics, 1–7. London: Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/978-1-349-95121-5_2422-1.

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Ioannides, Yannis M. "Social Interactions (Empirics)." In The New Palgrave Dictionary of Economics, 1–9. London: Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/978-1-349-95121-5_2470-1.

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Ioannides, Yannis M. "Social Interactions (Empirics)." In Microeconometrics, 293–302. London: Palgrave Macmillan UK, 2010. http://dx.doi.org/10.1057/9780230280816_32.

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Thompson, Neil. "Interpersonal interactions." In Theorizing Social Work Practice, 75–91. London: Macmillan Education UK, 2010. http://dx.doi.org/10.1007/978-1-137-01416-0_5.

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Barrat, Alain, and Ciro Cattuto. "Face-to-Face Interactions." In Social Phenomena, 37–57. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14011-7_3.

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Conference papers on the topic "Social interactions"

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Damian, Ionut, Chiew Seng (Sean) Tan, Tobias Baur, Johannes Schöning, Kris Luyten, and Elisabeth André. "Augmenting Social Interactions." In CHI '15: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2702123.2702314.

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Lucero, Andrés, Jaakko Keränen, and Tero Jokela. "Social and spatial interactions." In the 28th of the international conference extended abstracts. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1753846.1753962.

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Kegel, Ian. "Session details: Social interactions." In MM '12: ACM Multimedia Conference. New York, NY, USA: ACM, 2012. http://dx.doi.org/10.1145/3245377.

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Sap, Maarten, Hannah Rashkin, Derek Chen, Ronan Le Bras, and Yejin Choi. "Social IQa: Commonsense Reasoning about Social Interactions." In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/d19-1454.

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Abufouda, Mohammed, and Katharina Anna Zweig. "Interactions around social networks matter: Predicting the social network from associated interaction networks." In 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, 2014. http://dx.doi.org/10.1109/asonam.2014.6921574.

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Oksman, Virpi, Antti Tammela, and Tiina Mäkelä. "iTV and changing social interactions." In the 13th International MindTrek Conference: Everyday Life in the Ubiquitous Era. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1621841.1621866.

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Herrero-Lopez, Sergio. "Social interactions in P2P lending." In the 3rd Workshop. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1731011.1731014.

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Riener, Andreas, Ignacio Alvarez, Bastian Pfleging, Andreas Löcken, Myhounghoon Jeon, Heiko Müller, and Mario Chiesa. "Social, Natural, and Peripheral Interactions." In the 6th International Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2667239.2667282.

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Pirker, Johanna, Andreas Punz, and Johannes Kopf. "Social interactions in game jams." In FDG '19: The Fourteenth International Conference on the Foundations of Digital Games. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3337722.3341843.

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Zhang, Xiaolong, and George W. Furnas. "Social interactions in multiscale CVEs." In the 4th international conference. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/571878.571884.

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Reports on the topic "Social interactions"

1

Glaeser, Edward, Bruce Sacerdote, and Jose Scheinkman. Crime and Social Interactions. Cambridge, MA: National Bureau of Economic Research, February 1995. http://dx.doi.org/10.3386/w5026.

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Blume, Lawrence, William Brock, Steven Durlauf, and Rajshri Jayaraman. Linear Social Interactions Models. Cambridge, MA: National Bureau of Economic Research, July 2013. http://dx.doi.org/10.3386/w19212.

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Cutler, David, and Edward Glaeser. Social Interactions and Smoking. Cambridge, MA: National Bureau of Economic Research, October 2007. http://dx.doi.org/10.3386/w13477.

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Brock, William, and Steven Durlauf. Multinomial Choice with Social Interactions. Cambridge, MA: National Bureau of Economic Research, March 2003. http://dx.doi.org/10.3386/t0288.

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Manski, Charles. Economic Analysis of Social Interactions. Cambridge, MA: National Bureau of Economic Research, March 2000. http://dx.doi.org/10.3386/w7580.

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Benabou, Roland, and Jean Tirole. Self-Confidence and Social Interactions. Cambridge, MA: National Bureau of Economic Research, March 2000. http://dx.doi.org/10.3386/w7585.

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Brock, William, and Steven Durlauf. Adoption Curves and Social Interactions. Cambridge, MA: National Bureau of Economic Research, June 2009. http://dx.doi.org/10.3386/w15065.

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Weinberg, Bruce. Social Interactions with Endogenous Associations. Cambridge, MA: National Bureau of Economic Research, April 2007. http://dx.doi.org/10.3386/w13038.

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Cicala, Steve, Roland Fryer, and Jörg Spenkuch. A Roy Model of Social Interactions. Cambridge, MA: National Bureau of Economic Research, March 2011. http://dx.doi.org/10.3386/w16880.

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Brock, William, and Steven Durlauf. Discrete Choice with Social Interactions I: Theory. Cambridge, MA: National Bureau of Economic Research, October 1995. http://dx.doi.org/10.3386/w5291.

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