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Exploring Patterns of Social Relationships among Food Bloggers on Twitter Using a Social Network Analysis Approach

Allison D. Hepworth

Allison D. Hepworth

University of Maryland School of Social WorkBaltimore, MD, United States
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Hepworth, Allison D.
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Jess Kropczynski

Jess Kropczynski

University of Cincinnati, College of Education, Criminal Justice, & Human Services, School of Information TechnologyCincinnati OH, United States
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Kropczynski, Jess
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Justin Walden

Justin Walden

North Dakota State University, College of Arts, Humanities and Social Sciences, Department of CommunicationFargo, ND, United States
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Walden, Justin
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Rachel A. Smith

Rachel A. Smith

Pennsylvania State University, College of the Liberal Arts, Department of Communication Arts & Sciences; College of Health and Human Development, Department of Human Development & Family StudiesPennsylvania, United States
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Smith, Rachel A.
  
Nov 04, 2019
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Article Category: research-article
Published Online: Nov 04, 2019
Page range: 1 - 21
DOI: https://doi.org/10.21307/joss-2019-038
Keywords
© 2019 Allison D. Hepworth published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License.

Figure 1.

Fruchterman-Reingold layout of directed Twitter following/follower ties among Saveuer network food bloggers (N = 44). Nodes represent individual food bloggers, color-coded by topical subcategory. Arrow color indicates tie reciprocity: Black arrows indicate reciprocal ties; Red arrows indicate unreciprocated ties. Node spacing is algorithmically determined by the density of ties.
Fruchterman-Reingold layout of directed Twitter following/follower ties among Saveuer network food bloggers (N = 44). Nodes represent individual food bloggers, color-coded by topical subcategory. Arrow color indicates tie reciprocity: Black arrows indicate reciprocal ties; Red arrows indicate unreciprocated ties. Node spacing is algorithmically determined by the density of ties.

Descriptive Statistics of Blogger Attributes: Twitter Use, Outreach, and Popularity (N = 44)

Attribute Mean Standard Deviation Median Range (min-max)
Number of tweets 5667 6564 3075 132 to 27966
Number of favorited tweets 1197 1901 470 0 to 9595
Overall Twitter following 784 724 539 6 to 3199
Overall Twitter followers 3808 5022 2170 177 to 30529
Saveur network following 9 6 10 0 to 20
Saveur network followers 9 7 7 0 to 22

Quadratic Assignment Procedure (QAP) Correlations Among Differences in Blogger Attributes: Twitter Use, Outreach, and Popularity (N = 44)

Variable 1 2 3 4 5 6
1. Number of tweets --
2. Number of favorited tweets 0.39* --
3. Overall Twitter following 0.58** 0.02 --
4. Overall Twitter followers 0.60*** 0.09 0.57*** --
5. Saveur network following -0.13 0.25* -0.03 -0.19 --
6. Saveur network followers -0.13 0.32* -0.18 0.09 0.73*** --

Density of Directed Twitter Following and Follower Ties Among Food Bloggers Representing Eight Topical Subcategories of Food Blogs (N = 44)

1 2 3 4 5 6 7 8
1. Baking and desserts .43 .14 .58** .03 .20 .07 .50* .07
2. Cocktails .19 1.0*** .19 .07 .03 .10 .14 .17
3. Cooking .47 .08 .83** .20 .23 .03 .58** .00
4. Culinary travel .13 .10 .13 .65* .04 .12 .07 .08
5. Family cooking .20 .07 .27 .04 .40 .08 .23 .04
6. Regional cuisine .13 .13 .27 .16 .08 .40 .17 .04
7. Special diet .39 .03 .64** .03 .03 .00 .70** .00
8. Wine or beer .10 .13 .03 .08 .04 .04 .00 .20
Language:
English
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1 times per year
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Social Sciences, Social Sciences, other
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