Questions tagged [social-network]
Social network data consists of a collection of "nodes" (which can be any sort of entity - e.g. people, corporations) and "links" (which can be any sort of relationship - e.g. friend, sharing a board member).
153 questions
0 votes
0 answers
34 views
PageRank denotes how many inputs a node has from influential nodes (directed form of eigenvector). Is there a metric for outputs to influential nodes?
PageRank is the directed form of eigenvector centrality, denoting how influential a node is in terms of indegree edges. Is there an outdegree version? PageRank assumes that “ important nodes are those ...
- 1,464
3 votes
0 answers
55 views
How do zero values affect the correlation between two twitter activity time series?
I have a time series of Twitter activities (lets call it time series 0) from which I extract two separate time series based on different sets of users (i.e. time series 1 contains the activity of a ...
- 41
0 votes
0 answers
94 views
Can I do Pearson cross-correlation between two time series of Twitter data without violating the assumptions?
I have a dataset of Tweets regarding a given topic (extracted by predefined keywords and hashtags). I aggregated the Tweets in bins of time (e.g. every ten minutes) to generate a time series of the ...
- 41
3 votes
2 answers
409 views
Probability that two vertices are connected
I'm reading: Clauset, A., Newman, M.E.J., Moore, C., 2004. Finding community structure in very large networks. Phys. Rev. E 70, 066111. https://doi.org/10.1103/PhysRevE.70.066111 There is written that ...
- 3,403
1 vote
1 answer
71 views
igaph gives me a diameter, but I think the diameter is another one [closed]
Given this network: ...
- 3,403
1 vote
0 answers
62 views
Measuring uncertainty in edge weights using Bayesian modeling and brms in R
I'm interested in using Bayesian models to measure uncertainty in edge weights within social networks. Specifically, I have been trying to replicate how this package works but using brms: https://...
- 11
1 vote
0 answers
35 views
Finding association of attributes with node centrality/ degree value
I've run SNA and got the value of centrality of each node. I classified the centrality value into two group. Then based on this grouping, I would like to find the association of the attribute(gender, ...
- 11
1 vote
1 answer
71 views
How to visualize connections between survey participants [closed]
I have the dataset from survey with participants IDs and IDs of another participant (or participants) that first participant knows, just like this: Participant ID Knows participant 111 353 111 777 111 ...
- 41
0 votes
0 answers
34 views
Finding gateway discussion groups from online posts
I'm looking at online discussion group participation and I'm trying to determine whether posting to group A increases the likelihood of subsequently posting to group B empirically (is A a gateway ...
- 26
2 votes
1 answer
224 views
Impact of sample size when using exponential random graph modeling
I am working on revising a manuscript centered on identifying the drivers behind certain types of student interaction. One critique that I'm having trouble addressing is that they are worried about my ...
- 21
2 votes
1 answer
160 views
Why is the closeness centrality value higher for less connected nodes?
I built an igraph graph from a data frame containing the (symbolic) edge list and weight. This is the data frame: ...
- 379
1 vote
0 answers
253 views
How to handle missing data when calculating network homophily/assortativity?
I am trying to calculate network homophily/assortativity for a graph. However, some of my nodes have missing values. It turns out igraph's assortativity functions have no "na.rm" function ...
- 1,464
1 vote
0 answers
63 views
Comparing properties of networks of different sizes
I want to compare some network properties such as density, average path and modularity among groups of sizes ranging from 100 to 4000. How can I correctly compare these networks? Considering the ...
- 11
2 votes
1 answer
442 views
igraph's "assortativity" function returns NaN if all attributes are identical. Why?
I am trying to use igraph's assortativity function. It returns positive values if more similar nodes have similar attributes and negative values otherwise. Indeed, if I randomly generate attributes ...
- 1,464
1 vote
0 answers
136 views
Ways to calculate proximity score in a social network
I'm looking for the most correct way to calculate a proximity score between users of a social network (Twitter). There are 100 users who replied, mentioned, and liked each other. I want to aggregate ...
