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Psychological predispositions and network structure: The relationship between individual predispositions, structural holes and network closure
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“but women experience many barriers to accessing these services, such as feelings of shame or denial, lack of trust in others or fear of repercussions such as the perpetrator finding out or family members seeking revenge.11,12”
From Help‐seeking amongst women survivors of domestic violence: a qualitative study of pathways towards formal and informal support (2016) · cites this paper as [12]
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Items 101–200 of 412
Bridging in social networks: Who are the people in structural holes and why are they there?
Kalish, Y. (2008) · Asian Journal Of Social Psychology · doi:10.1111/j.1467-839x.2007.00243.x · Cited by 40
Self-citationHomophily Through Nonreciprocity: Results of an Experiment
Schaefer, D. R. (2012) · Social Forces · doi:10.1093/sf/sos065 · Cited by 41
“Manipulating actor value is necessary to control for individual characteristics that confound one’s value as an exchange partner with the tendency to occupy distinct network positions (e.g., personality traits; Kalish and Robins 2006).”
BackgroundSuthaharan, P., & Corlett, P. R. (2023) · Scientific Reports · doi:10.1038/s41598-023-33305-w · Cited by 38
SOCIAL CAPITAL, TRUST, AND MULTIPLE EQUILIBRIA IN ECONOMIC PERFORMANCE
Growiec, K., & Growiec, J. (2012) · Macroeconomic Dynamics · doi:10.1017/s136510051200034x · Cited by 38
“Individuals for whom their personal identity is more important than their social identity are more likely to maintain diverse social networks (Kalish and Robins, 2006), i.e. large stocks of bridging social capital.”
InfluentialBalconi, M., & Vanutelli, M. E. (2016) · Scientific Reports · doi:10.1038/srep23083 · Cited by 38
“Therefore each subject was submitted to visual (72) or visual/auditory (72) condition for a total of 144 stimuli.”
Do transnational brokers always win? A multilevel analysis of social support
Bilecen, B., & Cardona, A. (2017) · Social Networks · doi:10.1016/j.socnet.2017.03.001 · Cited by 38
Holmes, M., & Yarhi-Milo, K. (2016) · International Studies Quarterly · doi:10.1093/isq/sqw034 · Cited by 37
“As such, we combine individual psychology with social networks, a move that parallels recent developments in SNA (Kalish and Robins 2006).”
MethodSong, H. (2015) · Journal of Communication · doi:10.1111/jcom.12140 · Cited by 34
Shechner, T., Slone, M., Meir, Y., & Kalish, Y. (2010) · American Journal of Orthopsychiatry · doi:10.1111/j.1939-0025.2010.01031.x · Cited by 35
“Using the technique of Kalish and Robins (2006) and following traditional network methodology (Wasserman & Faust, 1994), participants were asked to nominate up to six names of significant people in their lives in six different categories of social settings (e.g., friends, family, colleagues).”
BackgroundMethodSelf-citationSafdar, U., Badir, Y. F., & Afsar, B. (2017) · The Journal of High Technology Management Research · doi:10.1016/j.hitech.2017.04.006 · Cited by 38
“…as psychological processes, social network research has only considered the influence of observable individual attributes, such as gender, rather than investigating individual psychological characteristics (Kalish & Robins, 2006; Mehra, Kilduff, & Brass, 2001; Totterdell, Holman, & Hukin, 2008).”
BackgroundBalconi, M., & Ferrari, C. (2013) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12041 · Cited by 34
Emotional memory retrieval. rTMS stimulation on left DLPFC increases the positive memories
Balconi, M., & Ferrari, C. (2012) · Brain Imaging and Behavior · doi:10.1007/s11682-012-9163-6 · Cited by 35
“Specifically a top-down control of PFC on the amygdala allows for a cognitive modulation of emotional processes by frontal brain structures (Hariri et al. 2000; Kalish and Robins 2006).”
Modeling What Friendship Patterns on Facebook Reveal About Personality and Social Capital
Yong, L., Venkatanathan, J., Gonçalves, J., Karapanos, E., & Kostakos, V. (2014) · ACM Transactions on Computer-Human Interaction · doi:10.1145/2617572 · Cited by 32
Exploring factors of e-waste recycling intention: The case of generation Y
Bhutto, M. Y., Rūtelionė, A., Šeinauskienė, B., & Ertz, M. (2023) · PLoS ONE · doi:10.1371/journal.pone.0287435 · Cited by 32
“Due to their sociable personality, they prefer large shared support networks and find opportunities for communication [97, 98].”
BackgroundBalconi, M., & Ferrari, C. (2012) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-012-0090-1 · Cited by 33
“…PFC could be crucial for mechanisms underlying the regulation of emotion, such as the inhibition of emotional information or the regulation of specific control monitoring on interference effects (Hariri et al., 2000; Kalish & Robins, 2006; MacNamara, Ferri, & Hajcak, 2011; Sandrini et al., 2003).”
BackgroundLong ties, disruptive life events, and economic prosperity
Jahani, E., Fraiberger, S. P., Bailey, M., & Eckles, D. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2211062120 · Cited by 30
“The existing literature on the origins of long ties has characterized the personality of individuals with long ties to be entrepreneurial, risk-taking, and thriving on change (28, 29, 48).”
BackgroundWhat are the antecedents of coopetition?
Géraudel, M., & Salvetat, D. (2013) · European Business Review · doi:10.1108/ebr-09-2012-0051 · Cited by 27
“Finally, we see in the literature concerning social networks (Klein et al., 2004; Kalish and Robins, 2006) and about coopetition (Chen et al.”
BackgroundPersonality correlates of key roles in informal advice networks
Battistoni, E., & Colladon, A. F. (2014) · Learning and Individual Differences · doi:10.1016/j.lindif.2014.05.007 · Cited by 30
“There has been little work describing how individual differences affect social structures, and only a few studies investigating the association between personality and network positions (e.g., Burt, 2012; Gloor et al., 2011; Kalish & Robins, 2006).”
BackgroundMascia, D., Cicchetti, A., & Damiani, G. (2013) · BMC Health Services Research · doi:10.1186/1472-6963-13-429 · Cited by 27
“Social networks research has provided ample evidence that individuals’ attitudes and other personal characteristics influence the shape of their social networks as well as the position they assume in the overall web of relationships [11-13].”
BackgroundRapp, C. H., Ingold, K. M., & Freitag, M. (2018) · Social Science Research · doi:10.1016/j.ssresearch.2018.09.001 · Cited by 28
Wei, S., Jiao, J., Wang, L., & Xu, J. (2020) · Applied Spatial Analysis and Policy · doi:10.1007/s12061-020-09334-7 · Cited by 27
A Social Network Approach to Peer Assessment: Improving Predictive Validity
Luria, G., & Kalish, Y. (2013) · Human Resource Management · doi:10.1002/hrm.21541 · Cited by 26
“Future research should investigate personal characteristics such as traits and predispositions of individuals who are nominated but do not return nominations, and of those who are nominated by nominees (Kalish & Robins, 2006; Klein, Lim, Saltz, & Mayer, 2004).”
BackgroundSelf-citationIlmarinen, V., Vainikainen, M., Verkasalo, M., & Lönnqvist, J. (2015) · European Journal of Personality · doi:10.1002/per.1982 · Cited by 25
“Also, studies on the size of offline peer networks have indicated that extraversion is the most relevant trait in this domain (Kalish & Robins, 2006; Pollet, Roberts, & Dunbar, 2011; Roberts, Wilson, Fedurek, & Dunbar, 2008; Russell, Booth, Reed, & Laughlin, 1997).”
BackgroundLay theories of networking ability: Beliefs that inhibit instrumental networking
Kuwabara, K., Zou, X., Aven, B. L., Hildebrand, C. A., & Iyengar, S. S. (2020) · Social Networks · doi:10.1016/j.socnet.2020.01.003 · Cited by 28
The rich get richer: Extroverts' social capital on twitter
Moshkovitz, K., & Hayat, T. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101551 · Cited by 25
Searching for Personality [Social Sciences]
Pianesi, F. (2012) · IEEE Signal Processing Magazine · doi:10.1109/msp.2012.2219671 · Cited by 24
“A fundamental problem with this formulation of the personality prediction task (and the related behavior prediction task) is that traits are stable and enduring properties but people do not always behave the same way: an extravert might, on occasions, be less talkative or attempt less to attract…”
BackgroundMolho, C., Roberts, S. G. B., de Vries, R. E., & Pollet, T. V. (2016) · Personality and Individual Differences · doi:10.1016/j.paid.2016.04.096 · Cited by 25
The Enemy of My Friend Is Easy to Remember: Balance as a Compression Heuristic
Brashears, M. E., & Brashears, L. A. (2016) · Emerald Group Publishing Limited eBooks · doi:10.1108/s0882-614520160000033001 · Cited by 25
Religious diversity and entrepreneurship in transition: lessons for policymakers
Nikolova, E., & Simroth, D. (2015) · IZA Journal of European Labor Studies · doi:10.1186/s40174-014-0028-4 · Cited by 50
“Previous studies have found that people who believe to be in control of the events in their lives, a personality feature that tends to be relatively stable throughout life, are more likely to bridge structural holes (Kalish and Robins 2006).”
BackgroundRecent Advancements, Developments and Applications of Personal Network Analysis
Hâncean, M.-G., Molina, J., & Lubbers, M. (2016) · International Review of Social Research · doi:10.1515/irsr-2016-0017 · Cited by 23
“…personality) and achieved characteristics (e.g., education, employment, income, mobility patterns, trauma symptomatology) (e.g., Bastani, 2007; Van Tubergen et al., 2016; Vanbrabant et al., 2012; Min et al., 2014; Kalish and Robins, 2006; Maya-Jariego and Holgado, 2015; Luken and Tranmer, 2010).”
Carboni, I., & Gilman, R. (2012) · Group Dynamics Theory Research and Practice · doi:10.1037/a0028753 · Cited by 23
“Neuroticism, for example, has been argued to be both a cause and an effect of direct brokerage among strong but not weak ties (Kalish & Robins, 2006).”
Beyond the Dilemma of Mobility: Exploring New Ways of Matching Intellectual and Physical Mobility
Ferreira, A., Batey, P., Brömmelstroet, M. T., & Bertolini, L. (2012) · Environment and Planning A Economy and Space · doi:10.1068/a44258 · Cited by 24
“This makes the case for the influence of individuals' characteristics on social networking (Burt et al, 1998; Kalish and Robins, 2006; Klein et al, 2004; Mehra et al, 2001).”
OXTRpolymorphism predicts social relationships through its effects on social temperament
Creswell, K. G., Wright, A. G. C., Troxel, W., Ferrell, R. E., Flory, J. D., & Manuck, S. B. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu132 · Cited by 25
“, 1986; Kendler, 1997), and smaller social networks (Kalish and Robins, 2006).”
BackgroundBalconi, M., & Vanutelli, M. E. (2015) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9443-z · Cited by 23
“This result confirmed previous research which found that PFC plays a crucial role in the integration of different aspects of cognition, memory, and emotional regulation by managing the cognitive control over emotional stimuli and emotional behavior (Balconi and Ferrari 2012; Hariri et al. 2000; Kalish and Robins 2006;…”
BackgroundResultReligious Diversity: Helping or Hindering Entrepreneurs in Transition Countries?Preprint
Nikolova, E., & Simroth, D. (2013) · SSRN Electronic Journal · doi:10.2139/ssrn.2272615 · Cited by 23
Growiec, K., & Growiec, J. (2011) · SSRN Electronic Journal · doi:10.2139/ssrn.1930845 · Cited by 23
“Individuals who value their personal identity more than their social identity are more likely to maintain diverse social networks (Kalish and Robins, 2006), i.e., a large stock of bridging social capital.”
InfluentialCharoensap-Kelly, P., Sheldon, P., Antony, M. G., & Provenzani, L. (2021) · Journal of Management & Organization · doi:10.1017/jmo.2021.58 · Cited by 23
“…which then fosters resilience, it is likely that extraverted employees with high resilience will exhibit greater well-being (Carver & Connor-Smith, 2010), productivity (Minbashian, Bright, & Bird, 2009), and relational satisfaction compared to introverted employees (Kalish & Robins, 2006).”
BackgroundSocial Networks and Positive and Negative Affect
Greetham, D. V., Hurling, R., Osborne, G., & Linley, A. (2011) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2011.07.051 · Cited by 22
“In an earlier piece of work on the effects of personality differences, including big five personality traits on network structures, the authors examined egocentric networks of strong and weak ties of 125 students using a new triad census method (Kalish & Robins, 2006).”
MethodPolitical Protest and Personality Traits: A Neglected Link
Opp, K., & Brandstätter, H. (2010) · Mobilization An International Quarterly · doi:10.17813/maiq.15.3.p73861l1625021u1 · Cited by 23
Chaurasia, S., Bharti, K. K., & Gupta, A. K. (2024) · Knowledge-Based Systems · doi:10.1016/j.knosys.2024.112252 · Cited by 26
Malcolm, C., Saxton, T. K., McCarty, K., Roberts, S. G. B., & Pollet, T. V. (2020) · Personality and Individual Differences · doi:10.1016/j.paid.2020.110311 · Cited by 21
Balconi, M., & Vanutelli, M. E. (2015) · Social Neuroscience · doi:10.1080/17470919.2015.1081400 · Cited by 21
“…of different aspects of cognition, memory, and emotional regulation by managing the cognitive control over emotional stimuli and emotional behavior (Balconi & Ferrari, 2012; Hariri, Bookheimer, & Mazziotta, 2000; Kalish & Robins, 2006; Knight, Staines, Swick, & Chao, 1999; Miller & Cohen, 2001).”
BackgroundThe use of visual network scales in teacher leader development
Polizzi, S. J., Ofem, B., Coyle, W., Lundquist, K., & Rushton, G. T. (2019) · Teaching and Teacher Education · doi:10.1016/j.tate.2019.03.018 · Cited by 21
Influencers, Backfire Effects, and the Power of the Periphery
Centola, D. M. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108878296.005 · Cited by 21
Network analysis: A concise review and suggestions for family business research
Zamudio, C., Anokhin, S. A., & Kellermanns, F. W. (2014) · Journal of Family Business Strategy · doi:10.1016/j.jfbs.2014.01.001 · Cited by 20
Bertolotti, F., Mattarelli, E., & Dukerich, J. M. (2018) · Human Relations · doi:10.1177/0018726718810097 · Cited by 20
“Conversely, individuals high in neuroticism tend to occupy more peripheral positions (Kalish and Robins, 2006; Klein et al., 2004).”
BackgroundMaya‐Jariego, I. (2020) · Social Networks · doi:10.1016/j.socnet.2020.09.006 · Cited by 20
Géraudel, M., & Chollet, B. (2009) · Management international · doi:10.7202/038584ar · Cited by 20
Characterizing ego-networks using motifs
Cunningham, P., Harrigan, M., WU, G., & O’Callaghan, D. (2013) · Network Science · doi:10.1017/nws.2013.12 · Cited by 19
“In Section 3.1, we briefly reviewed other work (Kalish & Robins, 2006; Faust, 2007) that showed redundancy due to correlations in motif counts.”
BackgroundMethodInfluentialBalconi, M., & Cobelli, C. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.12.015 · Cited by 19
“…emotional processes by frontal brain structures, and the PFC could be crucial for mechanisms underlying the regulation of emotion, such as the inhibition of emotional information or the regulation of specific control monitoring on interference effects (Hariri et al., 2000; Kalish and Robins, 2006).”
BackgroundMaya‐Jariego, I., Letina, S., & Tinoco, E. G. (2019) · Network Science · doi:10.1017/nws.2019.15 · Cited by 18
“…the majority of studies have been based on the broad “Big Five” traits, in some studies, narrower trait-like constructs from social psychology, that capture values and beliefs of an individual, have also been used, e.g. locus of control, self-monitoring, self-efficacy (Kalish & Robins, 2006).”
BackgroundMethodInfluentialZhou, J., Li, N., & Chi, W. (2021) · Journal of Organizational Behavior · doi:10.1002/job.2584 · Cited by 18
Social network connections and increased preparation intentions for a disaster
Losee, J. E., Webster, G. D., & McCarty, C. (2021) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2021.101726 · Cited by 19
RESEARCH ON STRUCTURAL HOLES: AN ASSESSMENT ON MEASUREMENT ISSUES
Saglietto, L., Cézanne, C., & David, D. (2020) · Journal of Economic Surveys · doi:10.1111/joes.12371 · Cited by 18
Evidence for a conserved quantity in human mobility
Alessandretti, L., Sapieżyński, P., Sekara, V., Lehmann, S., & Baronchelli, A. (2018) · Nature Human Behaviour · doi:10.1038/s41562-018-0364-x · Cited by 30
“Furthermore, for the CNS dataset, we are able to show that both quantities correlate with the individual personality trait of extraversion, 64 which tend to be manifested in outgoing, talkative and energetic behavior 65 (see Supplementary Figure 29; Pearson correlation ρ = 0 .”
Adapting to Retirement Community Life: Changes in Social Networks and Perceived Loneliness
Crisp, D. A., Windsor, T. D., Butterworth, P., & Anstey, K. J. (2015) · Journal of Relationships Research · doi:10.1017/jrr.2015.5 · Cited by 16
“In contrast, people high in neuroticism are somewhat less sociable and report fewer positive social relationships and lower levels of social support (Kalish & Robins, 2006; Russell et al., 1997).”
BackgroundVariability in Personality Expression Across Contexts: A Social Network Approach
Clifton, A. D. (2013) · Journal of Personality · doi:10.1111/jopy.12038 · Cited by 16
The Role of Task Uncertainty in IT Project Team Advice Networks
Keith, M. J., Demirkan, H., & Goul, M. (2016) · Decision Sciences · doi:10.1111/deci.12226 · Cited by 18
“…2004; Anonymous, 2010), expertise location (Faraj & Sproull, 2000), power (Burkhardt & Brass, 1990), interdependence (Pee et al., 2010), personality (Burt, Jannotta, & Mahoney, 1998; Johnson et al., 2003; Klein et al., 2004; Kalish & Robins, 2006), and demographic homophily (Klein et al., 2004).”
Perry, B. L., & Roth, A. R. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108878296.031 · Cited by 16
Anagraphical relationships and crime specialization within Cosa Nostra
Tumminello, M., Petruzzella, F., Ferrara, C., & Miccichè, S. (2020) · Social Networks · doi:10.1016/j.socnet.2020.07.011 · Cited by 16
My network, my self: A social network approach to work-based identity
Moser, J. R., & Ashforth, B. E. (2021) · Research in Organizational Behavior · doi:10.1016/j.riob.2022.100155 · Cited by 18
Maya‐Jariego, I., Leiva, A. A. D. L. P., Arenas-Rivera, C. P., & Alieva, D. (2019) · Journal of Community Psychology · doi:10.1002/jcop.22173 · Cited by 14
The personal social networks of personality disordered forensic psychiatric patients
Pomp, L., Spreen, M., Bogaerts, S., & Völker, B. (2014) · Journal of Social Work · doi:10.1177/1468017314537425 · Cited by 14
“The distribution of the proportion of all types of triads expresses the personal network structures (Kalish & Robins, 2006).”
BackgroundMethodZhao, Y., & Song, W. (2018) · IEEE Transactions on Green Communications and Networking · doi:10.1109/tgcn.2018.2847451 · Cited by 14
“Inspired by the definitions of weak ties and strong ties in [32] and [33], we further classify people’s social ties into four categories, i.”
BackgroundIncarceration and Personal Networks: Unpacking Measures and Meanings of Tie Strength
Rengifo, A. F., & DeWitt, S. E. (2018) · Journal of Quantitative Criminology · doi:10.1007/s10940-018-9391-z · Cited by 14
Narcissism and Social Networks
Clifton, A. D. (2011) · Wiley eBooks · doi:10.1002/9781118093108.ch32 · Cited by 16
The impact of dyadic relationships in supply chain triads
Świerczek, A., & Szozda, N. (2023) · International Journal of Operations & Production Management · doi:10.1108/ijopm-10-2022-0677 · Cited by 13
Social-tie-based information dissemination in mobile opportunistic social networks
Wang, Y., & Wu, J. (2013) · IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) · doi:10.1109/wowmom.2013.6583411 · Cited by 13
“Then, the definition of strong and weak ties was established as follows: following [23, 24], from the weight ed adjacency matrix, we used as a threshold the 59th percentile of the link weights cumulative distribution; then, links weig hted higher than or equal to the threshold were considered as stro ng ties, while li…”
MethodStructure of Crowdsourcing Community Networks
Zaamout, K., & Barker, K. E. (2017) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2017.2768325 · Cited by 13
“to characterizing personality types [49]–[51] and studying alternative methods of team formations [52]–[55].”
MethodMonninger, M., Aggensteiner, P.-M., Pollok, T. M., Reinhard, I., Hall, A. S. M., Zillich, L., Streit, F., Witt, S. H., Reichert, M., Ebner‐Priemer, U., et al. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-01799-z · Cited by 16
Haas, B. W., Abney, D. H., Eriksson, K., Potter, J., & Gosling, S. D. (2022) · Social Psychological and Personality Science · doi:10.1177/19485506221100954 · Cited by 13
“This interpretation is consistent with prior evidence linking Extraversion to greater civic engagement (Omoto et al., 2010) and increased social network complexity (Kalish & Robins, 2006).”
ResultEthical Decision-Making: The Role of Self-Monitoring, Future Orientation, and Social Networks
Bon, A. C., Volkema, R. J., & da Silva, J. F. (2017) · BAR - Brazilian Administration Review · doi:10.1590/1807-7692bar2017160091 · Cited by 13
“Oh & Kilduff, 2008; Sasovova et al., 2010), although other studies (Janicki & Larrick, 2005; Kalish & Robins, 2006) did not present consistent results tying high self-monitors to social structures.”
ResultOn M-Polynomials of Dunbar Graphs in Social Networks
Acharjee, S., Bora, B., & Dunbar, R. (2020) · Symmetry · doi:10.3390/sym12060932 · Cited by 13
“Kalish and Robins [23], for example, found an effect of both neuroticism and extraversion on the quality of an individual’s social network: extraverts are more energetic, outgoing, and sociable than introverts.”
BackgroundSurvey Methods for Social Network Research
Cornwell, B. T., & Hoagland, E. (2014) · Wiley eBooks · doi:10.1002/9781118594629.ch11 · Cited by 14
Letina, S., Long, E., McCrorie, P., Mitchell, K. R., Zucca, C., Riddell, J., Simpson, S. A., Moore, L., & McCann, M. (2024) · Social Networks · doi:10.1016/j.socnet.2023.12.002 · Cited by 12
“Therefore, the meso level is a level that usually goes beyond the micro-level of an individual student and extends beyond dyadic relationships and localized network structures (e.g., triads) (Robins, 2006).”
Balconi, M., & Cobelli, C. (2014) · Brain and Language · doi:10.1016/j.bandl.2014.08.006 · Cited by 12
The Enormous Flock of Homophily Researchers: Assessing and Promoting a Research Agenda
McPherson, M., Smith‐Lovin, L., & Rawlings, C. M. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108878296.033 · Cited by 12
Bourdon, S. (2009) · Redes Revista hispana para el análisis de redes sociales · doi:10.5565/rev/redes.368 · Cited by 12
“En el mismo orden de ideas, Kalish y Robins (2006) hicieron el vínculo entre las características de conjunto (cierre y agujeros estructurales) de las redes egocéntricas y ciertas predisposiciones psicológicas de los sujetos de su encuesta.”
BackgroundCredentials or Chemistry? Entrepreneur Gender and Cofounder Selection
Gray, S., Howell, T., Strassman, J., & Yamamoto, K. (2024) · Academy of Management Journal · doi:10.5465/amj.2022.0640 · Cited by 11
Hampton, K. N., & Chen, W. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108878296.056 · Cited by 11
Georg Simmel’s Contribution to Social Network Research
Hollstein, B. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108878296.003 · Cited by 13
Networks, Interdependence, and Social Influence in Politics
Huckfeldt, R., Mondak, J., Hayes, M., Pietryka, M. T., & Reilly, J. L. (2013) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199760107.013.0021 · Cited by 25
Interdisciplinarity in ferment: The role of knowledge networks and department affiliation
Ribeiro, F. M. (2015) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2015.07.021 · Cited by 11
“…(e.g.: Obermeier and Vlegels, 2010; Jung andHorta, 2013); to examine the effect of individual psychological differences on network structures (e.g.: Kalish and Robins, 2006); or to understand how interdisciplinary teams are formed, what makes them work, and what inhibits them (e.g.: Pisapia et…”
BackgroundKnowledge development and advice networks in professional organizations
Vincenzo, F. D., & Mascia, D. (2017) · Knowledge Management Research & Practice · doi:10.1057/s41275-017-0049-7 · Cited by 11
“The literature on knowledge networks suggests that individual characteristics, such as demographics, values, personal traits and psychological differences, have an impact on the formation of network structures (Klein et al. 2004; Kalish and Robins 2006).”
BackgroundPsychological Aspects of Social Communities
Friggeri, A., Lambiotte, R., Kosiński, M., & Eric Fleury, B. (2012) · International Conference on Social Computing · doi:10.1109/socialcom-passat.2012.104 · Cited by 11
“In another study, it was shown that extraversion is positively associated with closed triads of strong ties and neuroticism with closed triads of weak ties [22].”
Examining the evolution of networks based on lists in Twitter
Zhao, J., & Ram, S. (2011) · IEEE International Conference on Internet Multimedia Services Architecture and Applications (IMSAA) · doi:10.1109/imsaa.2011.6156363 · Cited by 11
“has discussed the two different structure of network, structure holes and network closures in his work of psychological predisposition and network structure [6].”
BackgroundBrain Sensitivity to Exclusion is Associated with Core Network Closure
Bayer, J., O'Donnell, M., Cascio, C. N., & Falk, E. (2018) · Scientific Reports · doi:10.1038/s41598-018-33624-3 · Cited by 10
Small, M. L. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108878296.042 · Cited by 10
Towards a general method to classify personal network structures
González-Casado, M. Á., Gonzales, G., Molina, J. L., & Sánchez, Á. (2024) · Social Networks · doi:10.1016/j.socnet.2024.03.004 · Cited by 10
Knowledge broker teachers and professional development
Jusinski, M. M. (2021) · Teacher Development · doi:10.1080/13664530.2021.1879922 · Cited by 14
Curșeu, P. L., & de Jong, J. P. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01251 · Cited by 10
“People navigate in their social world in different ways, and stable individual differences are likely to play an important role in the type of social relations one seeks and maintains (Jackson and Poulsen, 2005; Kalish and Robins, 2006).”
BackgroundPersonality Homophily and Geographic Distance in Facebook
Noë, N., Whitaker, R. M., & Allen, S. M. (2018) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2017.0615 · Cited by 10
“10 In particular, three facets of the Five Factor Model stood out as homophilous in both contexts: Openness to experience, Extraversion, and Agreeableness. were more similar in terms of Conscientiousness, Agreeable-ness, and Openness to experience compared to users who were not connected.”
Central nodes and surprise in content selection in social networks
Figueiredo, C., Chen, W., & Azevedo, J. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.04.070 · Cited by 10
“…application has become interdisciplinary and has motivated the adoption of new methods in numerous scientific areas, like psychology (Brass, 2011; Kalish & Robins, 2006; Vachon, 1982), human behavior (Li & Chen, 2014) or social media & emotions (Kivran-Swaine & Naaman, 2011; Lin & Qiu, 2012;…”
BackgroundMethodInfluentialChronic illness and social network bridging in later life
Qu, T. (2023) · Social Networks · doi:10.1016/j.socnet.2023.01.007 · Cited by 12
The Factors That Shape Organized Crime
Morselli, C., Gabor, T., & Kiedrowski, J. (2010) · Cited by 10
Digit ratio (2D:4D) and social integration: An effect of prenatal sex hormones
Kovářík, J., Brañas‐Garza, P., DAVIDSON, M. W., Haim, D. A., Carcelli, S. P., & Fowler, J. H. (2017) · Network Science · doi:10.1017/nws.2017.4 · Cited by 9
“However, empirical work shows that the positions people occupy in social structures correlate with individual traits and behaviors (Burt et al., 1998; Kalish & Robins, 2006; Brañas-Garza et al., 2010; Kovářı́k et al., 2012; Kovářı́k & van der Leij, 2015; McPherson et al., 2001).”
BackgroundSocial Networks In The Classroom: Personality Factors As Antecedents Of Student Social Capital
Seevers, M. T., Johnson, B. R., & Darnold, T. C. (2015) · American Journal of Business Education (AJBE) · doi:10.19030/ajbe.v8i3.9281 · Cited by 10
“Supporting this logic, Kalish and Robbins (2006) report that individuals scoring high on extraversion tend toward personal networks that are rich in overlapping ties—a pattern that reflects increased tie strength.”
BackgroundResultInfluentialINDICADORES ESTRUCTURALES Y CONGLOMERADOS DE ACTORES EN LA RED SOCIAL DE UNA SUBCULTURA URBANA
Ávila-Toscano, J. H., Vega, B. G., & Soto, J. P. (2011) · Revista Colombiana de Psicología · Cited by 9
Network ensemble clustering using latent roles
Brandes, U., Lerner, J., & Nagel, U. (2010) · Advances in Data Analysis and Classification · doi:10.1007/s11634-010-0074-3 · Cited by 9
“For instance, it has been shown that the structure of personal networks correlates with psychological indicators (Kalish and Robins 2006).”
BackgroundBrashears, M. E., Brashears, L. A., & Harder, N. L. (2020) · Network Science · doi:10.1017/nws.2020.6 · Cited by 9
Metadata
- Authors
- Kalish, Y., & Robins, G.
- Affiliations
- The University of Melbourne (AU)
- Corresponding author
- Robins, Garry
- Venue
- Social Networks
- Publisher
- Elsevier BV
- Published
- 2006-01
- Volume
- 28
- Issue
- 1
- Pages
- 56-84
- ISSN
- 0378-8733 (ISSN-L)
- OpenAlex
- W2161734804
- Semantic Scholar
- ba6dda25d976e4ec3e4e23aeb5bd37d58e12f7e9
- Cited by
- 412
- References
- 83
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 14 · 2023: 14 · 2022: 11 · 2021: 69 · 2020: 22 · 2019: 13 · 2018: 22 · 2017: 32 · 2016: 22 · 2015: 37 · 2014: 23 · 2013: 24 · 2012: 23
- FWCI
- 4.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Social Networks (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Social Sciences › Sociology and Political Science › Social Capital and Networks
- Social Sciences › Sociology and Political Science › Social Power and Status Dynamics
- Keywords
- structural holes, network closure, strength of weak ties, personal networks, social network structure, individualism, neuroticism, extraversion, perceived susceptibility
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