Strong Tie, Weak Tie and In-betweens: A Continuous Measure of Tie Strength Based on Contact Diary Datasets

Huszti, Éva; Dávid, Beáta; Vajda, Kinga

doi:10.1016/j.sbspro.2013.05.056

Cited by 78 publications

(19 citation statements)

References 28 publications

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“…In the online experiment, participants were first asked to report three of their Facebook friends (a strong tie, a weak tie, and a middle tie) that they were not living with or romantically involved with. We included the third group of middle ties in order to create a continuum connecting the two ends, strong and weak ties, as proposed by Huszti, Dávid, and Vajda (2013) . Since this study was launched after the summer vacation for German college students and slightly after the launch date of iPhone 6 (Sep 19th, 2014), we adopted two realistic scenarios based on the findings of Krasnova et al (2013) : one involved reading a post from a Facebook friend who posted a vacation picture, and, the other scenario involved a picture of a newly bought iPhone 6.…”

Section: Experimental Examination Of the Role Of Tie Strength (Study mentioning

confidence: 99%

The emotional responses of browsing Facebook: Happiness, envy, and the role of tie strength

Lin

Utz

2015

Computers in Human Behavior

272

184

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Section: Experimental Examination Of the Role Of Tie Strength (Study mentioning

confidence: 99%

The emotional responses of browsing Facebook: Happiness, envy, and the role of tie strength

Lin

Utz

2015

Computers in Human Behavior

272

184

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“…Tie strength with peers refers to the degree that a person is eager to associate with peers on social network sites, whether close or distant colleagues (Wang et al, 2012). Strong ties on social media leads to the transfer of more helpful information and therefore has larger impact on receivers than do weak ties (Huszti, Dávid & Vajda, 2013;Marder, Joinson, Shankar & Houghton, 2016). On the other hand, Identification with the peer group refers to a situation when a person develops we-intentions and wants to maintain a positive, self-defining relationship with a group, values relationships with the community, and is willing to engage in community activities (Rodríguez-González, Ruiz & Pujadas, 2015;Brundidge, Baek, Johnson, & Williams, 2013;Gromark & Schliesmann 2010).…”

Section: Social Media Marketing and Facebookmentioning

confidence: 99%

Facebook Communication and Marketing Influence on Decision-Making and Choice of University Student Representatives: A Student’s Perspective

et al. 2019

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Facebook has become the main platform for young adults to sustain their social presence as well as expand their social networks. The impact of social media on youth decision-making has attracted much attention in research and academia. The research setting was at University of Fort Hare, a university located in South Africa. Before and during a student representative council (SRC) election at the university, the six student parties contesting for the leadership office utilised Facebook in communicating and marketing their campaign messages to fellow students. This research therefore empirically investigated how Facebook influenced university students’ intention to vote and elect an SRC for the institution. The survey methodology was adopted in collecting data and non-probability sampling, a form of convenience sampling was utilised in selection of suitable participants for the study. A total of 381 students participated in the study responding to questions examining potential drivers of selection of a particular student representative party (SRP). A conceptual model was developed with Facebook constructs that included “medium credibility of Facebook”, “peer communication on Facebook” and “user trust of Facebook” among other factors that influence students’ choice of an (SRP). The main findings established that identification with peers was observed as having the most significant impact on youths’ intention to vote for student representatives. Message credibility was found to have weak impact on student’s intention to vote for a particular (SRC) candidate. Implications emerged from the findings and further research suggestions were provided.

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“…Social network analysis provides an understanding of the goals, characteristics and relative influence of relevant groups and individual actors (Butts, 2008). In addition, SNA characterises the linkages between those actors, particularly in terms of how information is exchanged; who is included or excluded from the process, with emphasis on interaction between stakeholder groups (Fischer, 2013;Huszti et al, 2013). Social network analysis has become a popular way of analysing interactions between stakeholders in social networks in several disciplines such as medicine, natural resources management (Prell, 2009), agriculture extension (Jana et al, 2013;Ramirez, 2013) and information technology (Martino and Spoto, 2006).…”

Section: Introductionmentioning

confidence: 99%

Partnerships in highlands of Rwanda under Integrated Agricultural Research for Development (IAR4D) arrangements

Ngaboyisonga¹,

Oduol²,

Mugabo³

et al. 2017

Afr. Crop Sci. J.

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The Integrated Agricultural Research for Development (IAR4D) concept was proposed to respond to the failures of Agriculture Research and Development (ARD) systems in Sub-Saharan Africa. The key element of implementation and success of IAR4D was action sites called agricultural Innovation Platform (IPs) and their counterfactual sites. Social Network Analysis (SNA) is used to explain social relationships and partnerships. This study explored the patterns of agricultural partnerships among stakeholders in the highlands of Rwanda under IAR4D. Data were collected in action sites that included Mudende, Gataraga, Remera and Rwerere; and in their counterpart counterfactual sites that comprised of Bigogwe, Nyange and Gacaca. Results showed that in action sites, stakeholders were linked to different and diversified partners. Furthermore, many stakeholders were connected to several partners through agricultural partnerships, hence creating complex social networks with high density and degree of distribution. In the counterfactual sites, however, stakeholders were exclusively linked to the same kind of partners, and one stakeholder was connected to one partner through probably non-agricultural partnerships. These facts demonstrated that IAR4D created dense interfaces, significantly improved the networking system, and delivered technologies and innovations.

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Strong Tie, Weak Tie and In-betweens: A Continuous Measure of Tie Strength Based on Contact Diary Datasets

Cited by 78 publications

References 28 publications

The emotional responses of browsing Facebook: Happiness, envy, and the role of tie strength

The emotional responses of browsing Facebook: Happiness, envy, and the role of tie strength

Facebook Communication and Marketing Influence on Decision-Making and Choice of University Student Representatives: A Student’s Perspective

Partnerships in highlands of Rwanda under Integrated Agricultural Research for Development (IAR4D) arrangements

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